book of abstract 2002

Upload: shazia-farman-ali-qazi

Post on 14-Apr-2018

217 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/30/2019 Book of Abstract 2002

    1/38

    1

    2L

    2W

    nonwetting

    material

    weting

    material

    2002 ME Graduate Student Conf erenceAp ri l 13, 2002

    HEAT TRANSFER AND FLUID FLOW IN AN IDEALIZED MICRO HEAT PIPE

    J in ZhangM.S. Candidate

    Thesis advisor: Prof. Harris Wong

    ABSTRACTMicro heat pipes have been used as a heat-dissipating

    device in many systems, such as micro electroniccomponents and the leading edge of hypersonic aircraft.

    [1, 2]

    Micro heat pipes transfer heat by evaporation, convection,and condensation, same as the conventional heat pipes.

    However, the effective thermal conductivity of micro heatpipes is only 1/40 that of conventional heat pipes. Due tothe complexity of the coupled heat and mass transport, andto the complicated three-dimensional bubble geometryinside micro heat pipes, there is a lack of rigorous analysis.As a result, the relative low effective thermal conductivityremains unexplained. This work conceptualized an idealizedmicro heat pipe that eliminates the complicated geometry,but retains the essential physics. The simplified bubblegeometry allows a direct comparison between theoreticalpredictions and experimental data.

    The idealized micro heat pipe is a rectangular heat pipe,the top portion of which is made of a non-wetting material,and the bottom portion a wetting material. The lower

    portion is filled to the rim by a wetting liquid, and theupper portion is filled by its vapor. This configurationensures that the contact line of the liquid-vapor interface ispinned at the interception between the wetting and non-wetting materials. Pinning of the interface allows a capillarypressure gradient to drive the liquid flow. When this microheat pipe is driven at small temperature differences, theinterface should be roughly flat, allowing the analysis to begreatly simplified.

    The evaporation and condensation in the idealizedmicro heat pipe is analyzed. It is found that the interface canbe separated into two regions: an inner region near the wallwhere evaporation occurs and an outer region away from thewall. The evaporation rate is solved by the method of

    matched asymptotic expansions, and the leading orderevaporation rate is obtained as ln, where measures theratio of conductive heat flux in the liquid to evaporativeheat flux at the interface. The small parameter is

    where kfis the liquid thermal conductivity, T is the walltemperature, c=(2RT)

    -1/2with R being the universal gas

    constant per unit mass of the vapor as determined by the

    kinetic theory, is vapor density, hfg is liquid latent heatand W is the half width of the pipe. The Stokes flowinduced by the surface tension gradient (Marangoni stress)along the interface and by the evaporation at the interface issolved using a finite-difference method.

    Fluid flowand heat transfer along the micro heat pipe

    are also studied. Liquid temperature distribution along themicro heat pipe is given in Figure 2. It is found that thetemperature profile is relatively flat except the region nearthe evaporator, which is the evaporation region. The lengthscale of the region is calculated as

    where Aw and A fare cross-sectional area of the wall andliquid, respectively, and kw is wall thermal conductivity.For a micro heat pipe with larger L/W the length of theevaporation region is shorter. Vapor pressure distributionalong the micro heat pipe is also given in Figure 3. It isclear that the pressure goes approximately linearly and notaffected strongly by L/W. Effective thermal conductivity keffis evaluated. A longer or wider micro heat pipe will have alarger keff. And it is found that increasing the evaporationarea at the evaporator will increase keff. It is also affected bythe latent heat of the working fluid. A fluid with largerlatent heat will produce larger keff.

    FIGURES AND TABLES

    Figure 1 an Idealized Micro Heat Pipe

    = Awkw + A fkf2 kf - ln

    ,

    = kfT

    chfg2 W,

  • 7/30/2019 Book of Abstract 2002

    2/38

    2

    ACKNOWLEDGMENTSThis work was supported by NASA and LaSPACE.

    REFERENCES

    1. G. P. Peterson, Appl. Mech. Rev. 45 (1992) 175-89.2. P. Dunn & D. A . Reay, in "Heat Pipes" (Pergamon

    Press, 1982) 16-18.

    0

    0.2

    0.4

    0.6

    0.8

    1

    0 0.2 0.4 0.6 0.8 1

    L/W = 20L/W = 50L/W = 100L/W = 200

    p*

    z*

    p

    z

    0

    50

    100

    150

    200

    250

    0.0002 0.0004 0.0006 0.0008 0.001

    L/W = 20

    L/W = 50L/W = 100L/W = 200

    keff

    W

    W

    keff

    Figure 4 Effective Thermal Conductivity along anIdealized Micro Heat Pipe

    Figure 3 Pressure Distribution along anIdealized Micro Heat Pipe

    Figure 2 Temperature Distribution along anIdealized Micro Heat Pipe

    0

    0.2

    0.4

    0.6

    0.8

    1

    0 0.2 0.4 0.6 0.8 1

    L/W = 20

    L/W = 50

    L/W = 100

    L/W =200

    T*

    z*

    T

    z

  • 7/30/2019 Book of Abstract 2002

    3/38

    3

    2002 ME Graduate Student Conference

    April 13, 2002

    PHYSICAL PARAMETER ESTIMATION OF VIBRATING STRUCTURE FROM ITS

    SPECTRAL DATA: A NEW MATHEMATICAL MODEL

    Kumar Vikram Singh

    Ph.D. Candidate

    Faculty Advisor: Y. M. Ram

    ABSTRACT

    The problem of reconstructing a model with prescribed

    spectral data is known as inverse eigenvalue problem.

    Reconstruction of the distribution of physical parameters of

    a continuous vibratory system by using its eigenvalues isaddressed here. Considering a unit length piecewise

    continuous rod as shown in figure 1. The eigenvalue

    problem associated with this rod is given by the following

    set of differential equations

    ======+==+

    )()()()(

    0)(0)0(where,,0

    where,,02

    2

    avauavau

    Lvusvvr

    quup

    . (1)

    Applying the boundary and matching conditions of

    displacement and force leads to problem of finding the non-

    trivial solution of

    o=

    4

    3

    2

    sincos0

    sincoscos

    cossinsin

    z

    z

    z

    LL

    aaa

    aaa

    . (2)

    We named this problem the Transcendental Eigenvalue

    Problem (TEP).The general form of this problem is

    ( ) ozA = . (3)

    Frequently the classical finite element and finite difference

    formulation are used in approximating such a continuous

    system. The characteristic equation of the obtained

    eigenvalue problem is a polynomial. In contrast, the

    continuous systems are characterized by TEP [1]. By using

    finite element or finite difference method, the TEP is

    transformed into an algebraic eigenvalue problem. It has

    been concluded by [2,3] that the solution to the discrete

    problem is not a good approximation to the continuous one.

    Past research associated with inverse problems of the

    continuous vibratory system can be found in [4,5,6,7,8].Since the behavior of a finite dimensional polynomial is

    fundamentally different from the transcendental function,

    such an approach may involve inaccurate approximation of

    the physical parameters, as illustrated in figure 2.

    For the given continuous system in figure 1, the inverse

    problem can be defined as follows:

    Given the resonant frequencies21

    , , anti-resonant

    frequency1 and the total mass of the rod.

    Determine the physical parameters21

    ,pp and21

    ,qq .

    The problem now is of determining the roots of the system

    of transcendental frequency equations,

    ( )( )( )( )( )( )

    ==

    ==

    ==

    =

    =

    =

    0,,det),,(

    0,,det),,(

    0,,det),,(

    1

    2

    1

    3

    2

    1

    A

    A

    A

    F

    F

    F

    , (4)

    for the given values of21

    , and1 . The research aims at

    developing low dimensional analytical models allowing

    estimation of the physical parameters of the structures from

    measured vibration test data. The main idea presented hereis to replace the continuous system with variable physical

    parameters by a continuous system with piecewise uniform

    properties as shown in figure 3. The boundary and matching

    conditions between the various parts of the continuous

    model can be expressed in the TEP form. A rapidly

    converged algorithm is used for evaluation of the physical

    parameters of the system. The algorithm implements the

    Newtons iterative method for determining the physical

  • 7/30/2019 Book of Abstract 2002

    4/38

    4

    parameters of the system. Formulation of such mathematical

    models for non-uniform axially vibrating rods and

    reconstruction of their area distribution by using this

    algorithm, as illustrated in figure 4, is presented. This

    proposed solution of TEP can also be used to solve classical

    direct problems in structural dynamics such as buckling [9]

    and vibration control [10].

    FIGURES AND TABLES

    Fig.1. Piecewise continuous axially vibrating rod

    Fig.2.Physical parameter Identification of piecewise rod

    from its associated discrete model

    Fig.3. New mathematical model used for the approximation

    of a non-uniform rod

    Fig.4. Reconstruction of the shape of the exponential rod

    with model ordern=4 and n=8

    ACKNOWLEDGMENTS

    The research work presented here is supported by a

    National Science Foundation research grant CMS-9978786.

    REFERENCES

    1. Singh K. V. and Ram Y. M., A mathematical model to

    overcome the discrepancies between continuous

    systems and their discrete approximation, ASME ETCE

    2002.

    2. Boley D. and Golub G.H., A Survey of matrix eigenvalue

    problems, Inverse Problems, Vol. 3, pp. 595-622, 1987.

    3. Paine J., A numerical method for the inverse Sturm-

    Liouville problem, SIAM Journal on Scientific and

    Statistical Computing, Vol. 5(1), pp. 149-156, 1984.

    4. Ram Y.M. and Caldwell J., Physical parameters

    reconstruction of a free-free mass-spring system from

    its spectra, SIAM Journal of Applied Mathematics, Vol.

    52(1), pp. 140-152, 1992.

    5. Frieland S., Nocedal J. and Overton M.L., The

    formulation and analysis of numerical methods for

    inverse eigenvalue problems, SIAM Journal of

    Numerical Analysis, Vol. 244, pp. 634-667, 1987.

    6. Ram Y.M. and Elhay S., Constructing the shape of a

    rod from eigenvalues, Communications in Numerical

    methods in Engineering, Vol. 14, pp. 597-608, 1998.

    7. Gladwell G.M.L., Inverse problems in vibration,

    Applied Mechanics Review, Vol. 39, pp. 1013-1018, 1986.

    8. Gladwell G.M.L., Inverse Problem in vibration, Martin

    Nijhoff publishers, First Edition, 1986.9. Singh K.V. and Ram Y.M., The Transcendental

    Eigenvalue Problem and Its Applications, Accepted for

    publication in AIAA Journal, 2002.

    10. Singh K.V. and Ram Y.M., Dynamic Absorption by

    Passive and Active Control, ASME Journal of vibration

    and acoustics, Vol. 122(4), pp. 429-433, 2000.

    1

    1

    n

    n

    q

    p

    1

    1

    q

    p

    2

    2

    q

    p

    3

    3

    q

    p

    L

    L

    n

    n

    q

    p

    L

    L

    L

    L

    1x2

    x3

    x

    1nx

    nxnu

    1nu

    2nu

    3u

    1u2u

    h h

    L

    1

    1

    n

    n

    q

    p

    1

    1

    q

    p

    2

    2

    q

    p

    3

    3

    q

    p

    L

    L

    n

    n

    q

    p

    L

    L

    L

    L

    1x2

    x3

    x

    1nx

    nxnu

    1nu

    2nu

    3u

    1u2u

    h h

    L

    0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1

    n=4 n=8

    Original shape Estimated

    0 0.2 0.4 0.6 0.8 10 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 10 0.2 0.4 0.6 0.8 1

    n=4 n=8

    Original shape Estimated

    L

    222,, AE

    111,, AE

    a

  • 7/30/2019 Book of Abstract 2002

    5/38

    5

    2002 ME Graduate Student Conference

    April 13, 2002

    EFFECT OF WALL THICKNESS OF CENOSPHERES ON THE COMPRESSIVE

    PROPERTIES OF SYNTACTIC FOAMS

    Nikhil Gupta

    Ph.D. Candidate

    Faculty Advisor: Dr. Eyassu Woldesenbet

    ABSTRACT

    Cenospheres are incorporated in polymeric materials to

    obtain composites of low density and high compressive

    strength, known as syntactic foams. Some studies on themodeling and experimental behavior of such composites are

    available in the literature [1-14]. However, no comprehensive

    studies could be found which characterize the behavior of

    syntactic foams with respect to various parameters like

    cenosphere wall thickness (density) and size distribution.

    This experimental work investigates the effect of wall

    thickness of cenospheres on the compressive properties of

    syntactic foams. As the matrix material D.E.R. 331, a di-epoxy

    resin, manufactured by DOW Chemical Company was

    selected. This resin is called diglycidyl ether of bisphenol A

    (DGEBA). To lower the viscosity of the resin a diluent is

    added to it. It is difficult to mix large volume of cenospheres

    in the epoxy resin if the viscosity is very high. Adding 5% ofdiluent, C12-C14 aliphatic glycidyl ether, brings down the

    viscosity of the resin from about 9000 cps at 20C to about

    2000 cps at the same temperature. Average equivalent

    epoxide weight (EEW) of the diluent is 285. For a 95 wt%

    resin and 5 wt% diluent mixture the EEW is 177.5.

    Triethylene tetramine (TETA), C6H18N4, is used as curing

    agent. This chemical is commercially known as D.E.H. 24 and

    manufactured by DOW Chemical Company. Molecular

    weight of this hardener is 146.4 and weight per active

    hydrogen is 24.4. Phr (parts per hundred parts of resin) of

    amine hardener for 95-5 resin-diluent mix was calculated to

    be 13.74. Stainless steel molds having inner dimensions of

    990.5 in3 are used to cast the syntactic foams. Fourdifferent types of cenospheres were used for the fabrication

    of syntactic foam specimens. These microballoons were

    manufactured and supplied by 3M. Specimen size used for

    the test was 12.712.725.4 mm3. Compression test wasconducted at constant crosshead movement rate of 0.5

    mm/min. Minimums of five specimens of each type of

    syntactic foam were tested. Stress-strain cures for each type

    of specimens are presented here [Figs. 2-5]. Trends of peak

    stress [Fig. 6] and modulus [Fig. 7] of the specimens with

    respect to cenosphere density are also presented.

    FIGURES AND TABLESTable 1. Particle size distribution of microballoons.

    Ceno-

    sphere

    type

    Average

    Particle Size

    (m)

    Top Size

    (m)Cenosphere

    density

    (g/cc)

    Syntactic

    foam density

    (kg/m3)

    S22 35 75 205 493

    S32 40 80 320 545

    K37 40 85 380 575

    K46 40 80 460 650

    Fig.1. Compressive fracture behavior of syntactic foam.

    S22, ASTM D695

    0

    5

    10

    15

    20

    25

    30

    35

    0 0.05 0.1 0.15Strain (mm/mm)

    Stress(N

    )

    Fig. 2. Compression test results of S22 syntactic foam.

  • 7/30/2019 Book of Abstract 2002

    6/38

    6

    S 3 2 , A S T M D 6 9 5

    0

    10

    20

    30

    40

    50

    0 0.05 0.1 0.15

    Strain (mm/mm)

    S

    tress(N)

    Fig. 3. Compression test results of S32 syntactic foam.

    K 37, ASTM D695

    0

    10

    20

    30

    40

    50

    60

    0 0.02 0.04 0.06 0.08 0.1Strain (mm/mm)

    Stress(MPa)

    Fig. 4. Compression test results of K37 syntactic foam.

    K 46 , ASTM D695

    0

    20

    40

    60

    80

    0 0.02 0.04 0.06 0.08Strain (mm/mm)

    Stre

    ss(N)

    Fig. 5. Compression test results of K46 syntactic foam.

    Change in Peak Compressive Strength

    6000

    7000

    8000

    9000

    10000

    11000

    12000

    200 300 400 500

    Cenosphere Density (kg/m 3)

    Peak

    Stress

    (M

    Pa)

    Fig. 6. Dependence of Peak strength of syntactic foam on

    cenosphere density.

    Cenosphere Density Dependence of

    Modulus

    1000

    1200

    1400

    1600

    1800

    2000

    2200

    200 250 300 350 400 450 500Density of Cenospheres (Kg/mm3)

    Modulus(MPa)

    Fig. 7. Dependence of Modulus of syntactic foam on

    cenosphere density.

    REFERENCES

    1. Gupta, N., Kishore, Woldesenbet, E., Sankaran, S.; J.

    Mater. Sci., 36, 18 (2001) 4485-4491.

    2. Gupta, N., Brar, B. S., Woldesenbet, E.; Bull. Mater Sci.,24, 2 (2001) 219-223.

    3. Gupta, N., Kishore, Sankaran, S.; J. Reinf. Plast. Compo.

    18, 14 (1999) 1347-1357.

    4. Gupta, N., Karthikeyan, C. S., Sankaran, S., Kishore;

    Mater. Charact., 43, 4 (1999) 271-277.

    5. Gupta, N., Woldesenbet, E., Kishore, Sankaran, S.; J.

    Sand. Str. and Mater., accepted, in press.

    6. Gupta, N., Woldesenbet, E., Kishore; J. Mater. Sci.,

    accepted, in press.

    7. Gupta, N., Woldesenbet, E.; in proceedings of ETCE-

    2002, Feb 2002, Houston, TX.

    8. Gupta, N., Woldesenbet, E.; (accepted) in proceedings of

    10th US-Japan Conference on Composite Materials,

    September 16-18, 2002, Stanford University, CA.

    9. Gupta, N., Woldesenbet, E.; in proceedings of ASC 16th

    Annual Conference, Blacksburg, VA, Sept. 9-12, 2001.

    10. Gupta, N., Woldesenbet, E.; in proceedings of ETCE-

    2001, Feb 2001, Houston, TX.

    11. Rizzi, E., E. Papa and A. Corigliano, Intl. J. Solids and

    Struct. 37 (2000) 5773.

    12. Corigliano, A., E. Rizzi and E. Papa, Compo. Sci. Tech. 60

    (2000) 2169.

    13. Ishai, O., C. Hiel and M. Luft, Composites 26, 1 (1995) 47.

    14. Malloy, R. A., J. A. Hudson, in Intl. Encylop. of Compos.,

    Ed. S. M. Lee (VCH, 1990).

  • 7/30/2019 Book of Abstract 2002

    7/38

    7

    2002 ME Graduate Student Conference

    April 13, 2002

    EFFECT OF TIP GEOMETRY ON BLADE TIP FLOW AND HEAT TRANSFER

    David Kontrovitz

    M.S. Candidate

    Faculty Advisor: Dr. Srinath Ekkad

    ABSTRACT

    In an attempt to increase thrust to weight ratio and

    efficiency of modern gas turbines, engine designers are

    always interested in increasing turbine operating

    temperatures. The benefits are attributed to the fact that

    higher temperature gases yield a higher energy potential.

    However, the detrimental effects on the components along

    the hot gas path can offset the benefits of increasing the

    operating temperature. The HPT first stage blade is one

    component that is extremely vulnerable to the hot gas.

    The cause for tip failures are fairly well understood and

    can be explained as follows. A clearance gap between the

    rotating blade tip and stationary shroud is necessary to

    allow for the blades mechanical and thermal growth during

    operation. Unfortunately, the gap allows for leakage flow

    from the pressure side to the suction side. The gas is

    accelerated as it passes through the small gap. This leads to

    enhanced heat load to the blade tip region. Leakage flow, orclearance flow, also leads to undesirable aerodynamic losses

    not unlike the losses associated with airplane wing tips. In

    fact, one third of the losses through the turbine section can

    be attributed to leakage flow. Other relevant studies by Azad

    et al. [1-2], Bunker et al. [3], Bunker and Bailey [4-5]

    presented detailed heat transfer results on high-pressure

    turbine blade tips with different pressure ratios. The effect of

    tip geometry was also considered in some of these studies.

    The present study explores the effects of gap height

    and squealer depth on heat transfer and flow distribution.

    This investigation differs from those in the other studies

    because the tip profile is for an in-service High Pressure

    Turbine of an aircraft engine. Other experiments have usedthe E

    3test blade or a power generation blade that have

    different characteristics. The pressure ratio used was 1.2,

    which is lower than the actual pressure ratio this blade sees

    in service (PR = 1.7). A transient liquid crystal technique

    was used to obtain the tip heat transfer distributions.

    Pressure measurements were made on the blade surface and

    on the shroud for different tip geometries and tip gaps.

    FIGURES AND TABLES

    Figure 1. Leakage Flow

    Figure 1 shows the typical leakage flow behavior for a

    turbine blade [1]. The plain tip is a flat tip and flow leaksthrough a constant area across the blade. The squealer tip

    has a groove cut on top of the blade which increases the

    area and stalls the flow thus creating back pressure and

    restricts leakage flow and reduces heat transfer. In this

    study, we focus on the plain tip and two different squealer

    depths (shallow and deep).

  • 7/30/2019 Book of Abstract 2002

    8/38

    8

    Figure 2: Blade Pressure Distribution

    Figure 2 shows the pressure distribution on the bladesurface at different span of the blade. The 100% span is on

    the tip of the blade with clearance gap. The pressure

    distribution changes as the blade span moves towards the

    gap as expected. Figure 3 shows the pressure distributions

    on the shroud for a blade with squealer tip. The reduced

    static pressures are the cause of reduced leakage flows.

    Figure 3: Shroud Measurements

    Figure 4 presents a typical heat transfer distribution on

    the blade tip with a shallow squealer. The heat transfer

    distributions show the local hot spots near the leading edge

    on the floor of the cavity and the reduced heat transfer

    towards the trailing edge of the blade. The leakage flow is

    stronger at the leading edge and weaker along the trailing

    edge of the blade.

    Figure 4: Heat Transfer Distribution

    ACKNOWLEDGMENTS

    This study was sponsored by the NSF through a

    GOALI grant. The author would like to acknowledge Drs.Srinath Ekkad and Sumanta Acharya for their instruction and

    advice. Also, thanks to Dr. Ron Bunker, at G.E. Corporate

    Research and Development, for his input to this project.

    Acknowledgments are also due to my colleagues in the

    Turbine Blade Research Lab.

    REFERENCES

    1. G.S. Azad, J.C. Han, R.S. Bunker, C.P. Lee, Effect of

    Squealer Geometry Arrangement on Gas Turbine Tip

    Heat Transfer, in Proceedings of the ASME International

    Mechanical Engineering Congress and Exposition, New

    York, November 2001, HTD-243142. G.S. Azad, J.C. Han, R.J. Boyle,Heat Transfer and Flow on

    the Squealer Tip of a Gas Turbine Blade, in Proceedings

    of the 2000 ASME Turboexpo, Munich, Germany, May

    2000, 2000-GT-1955

    3. R.S. Bunker, J.C. Bailey, A.A. Ameri, Heat Transfer and

    Flow on the First Stage Blade Tip of a Power

    Generation Gas Turbine Part1: Experimental Results, in

    Proceedings of the 1999 ASME International Gas Turbine

    Conference, Indianapolis, 1999, ASME 99-GT-169.

    4. R.S. Bunker, J.C. Bailey, Effect of Squealer Cavity Depth

    and Oxidation on Turbine Blade Tip Heat Transfer, in

    Proceedings of the 2001 ASME International Gas Turbine

    Conference, New Orleans, June 2001.

    5. R.S. Bunker, J.C. Bailey, An Experimental Study of

    Heat Transfer and Flow on a Gas Turbine Blade Tip

    With Various Tip Leakage Sealing Methods, in

    Proceedings of the 4th ISHMT / ASME Heat and Mass

    Transfer Conference, Pune, India, 2000, HNT-2000-055 p.

    411-416.

  • 7/30/2019 Book of Abstract 2002

    9/38

    9

    2002 ME Graduate Student Conference

    April 13, 2002

    LARGE EDDY SIMULATIONS OF ROTATING SQUARE DUCT WITH NORMAL RIB

    TURBULATORS

    Mayank Tyagi

    Ph.D. Candidate

    Faculty Advisor: Dr. Sumanta Acharya

    ABSTRACT

    The goal of the present work is to develop a generalized

    Large Eddy Simulations (LES) methodology for complex

    geometries, and to apply this methodology to gas turbineblade cooling applications. Results from one such

    application, that of internal cooling in a turbine blade, are

    reported in this abstract.

    The internal cooling configuration selected in this study

    corresponds to the experimental study of Wagner et al.

    (1992). The computations were performed at a Reynolds

    number (Re) of 12,500, rotation number (Ro) of 0.12 and the

    inlet coolant-to-wall density ratio (/) of 0.13. The ribheight-to-hydraulic diameter ratio (e/D) is 0.1 and the rib

    pitch-to-height ratio (P/e) is 10. The ribs are square in cross-

    section and are placed transverse to the flow in the duct. Of

    specific interest in this study are the dynamics of the

    coherent structures, and how they influence the heattransfer.

    RibA

    RibB

    Trailin

    g Wall

    Leadi

    ngWa

    ll

    BackWall

    Front Wall

    Inflow

    Rotation

    Lz

    Ly

    Lx

    RibHeight: eRibX-section : SquareL

    x= L

    y= L

    z= L

    e/L= 0.1,Rmean

    = 49.5P/L= 1.0Re

    m=12500

    Ro= 0.12

    P/2

    P /4

    /= 0.13

    Figure 1: Schematic of the computational domain

    A novel direct method for computing the source term in

    the energy equation (which arises due to unsteadiness and

    uniform wall temperature in periodic geometries) is

    presented. This is in contrast to the iterative approach of

    Wang and Vanka, 1995, which has been used to date.

    The details of flow field and the temperature fieldobtained from the LES are presented and analyzed in this

    study. The LES procedure is based on a dynamic mixed

    model for subgrid stresses and scalar flux.

    RESULTSRib A

    Rib B

    Rib A

    Rib B

    Time-averaged VelocityVectors at Y/D= 0.5

    Figure 2: Details of time-averaged vectors near the ribs

    Figure 2 shows the time-averaged flow field at the spanwise

    center-plane, and reveals the recirculating eddies generated

    in the vicinity of the ribs. The coherent structures (Figure 3)are educed from the instantaneous flow field using the

    positive levels of Laplacian of pressure field. Near the

    trailing wall, the Coriolis -induced secondary flow lead to a

    breakup of the flow structures along the spanwise center

    plane. The roller vortices formed on the rib are connected

    with the streamwise or braid vortices originating either at the

    side walls or around the centerplane, thus forming a hairpin

    coherent structure. The unsteady dynamics show several

  • 7/30/2019 Book of Abstract 2002

    10/38

    10

    packets of such hairpin vortices between the ribs at trailing

    wall. The vortices near the leading wall are weaker than the

    vortices near trailing wall. Moreover, the roller vortices

    generated at the ribs are stretched and tilted into the core of

    duct by the secondary flow. Hairpin packets on these ribbed

    walls evolve in different fashions.

    X

    ZY

    Leading wall

    Trailing wall

    X

    Y

    Z

    Leading wall

    Trailing wall

    Figure 3: Coherent structures in a rotating ribbed duct

    The proper orthogonal decomposition (POD) of the flow-

    field using the method of snapshots is performed (Sirovich,

    1987). About 99% of the turbulent energy is captured in the

    first 75 POD modes (Figure 4). Clearly, the chaotic dynamics

    of these coherent structures can be modeled by a low-

    dimensional system.

    POD mode number

    EnergycontainedinthePODmod

    e

    50 100 150 200

    0

    0.01

    0.02

    0.03

    0.04

    0.05

    0.06

    0.07

    0.08

    0.09

    0.1

    Figure 4: Distribution of energy in POD modes based on

    200 snapshots.

    Heat transfer calculations show the unsteady hot streaks on

    the duct walls. The distribution of the time-averaged Nusselt

    number is in agreement with the experimental observations.

    It is illustrated that scalar mixing is related to the scalar

    dissipation of the temperature.

    ACKNOWLEDGMENTS

    Discussion with Dr. A.K. Saha on the preliminary resultsis gratefully acknowledged.

    REFERENCES1. Sirovich, L. (1987) Turbulence and the dynamics of

    coherent s tructures, Part I-III, Quarterly of Appl. Math.,

    XLV(3), pp. 561-82.

    2. Tyagi, M., Saha, A.K. and Acharya, S. (2001) Large eddy

    simulations of rotating square duct with normal rib

    turbulators, DNS/LES: Progress and Challenges, 3rd

    AFOSR Intl. Conference, Eds. C. Liu, L. Sakell and T.

    Beutner, pp. 807-814.

    3. Wagner, J.H., Johnson, B.V., Graziani, R.A. and Yeh, F.C.

    (1992) Heat transfer in rotating serpentine passages

    with trips normal to the flow, J. Turbomachinery, Vol.

    114, pp. 847-857.

    4. Wang, G. and Vanka, S.P. (1995) Convective heat transfer

    in periodic wavy passages, Int. J. Heat Mass Transfer,

    Vol. 38, pp. 3219-3230.

  • 7/30/2019 Book of Abstract 2002

    11/38

    1

    2002 ME Graduate Student Conference

    April 13, 2002

    NODAL CONTROL OF A VIBRATING BEAM

    Akshay N Singh

    Ph.D. Candidate

    Faculty Advisors: Dr. Y. M. Ram and Dr. Su-Seng Pang

    ABSTRACT

    Vibration control is an important engineering problem

    and many methods for both active and passive vibration

    absorption have been developed. This paper deals with

    developing a method to achieve nodal control at the point of

    excitation in a Bernoulli-Euler beam. Singh and Ram in [3]

    have shown that under certain conditions that have been

    characterized in [3] the steady state motion of a certain

    degree of freedom in a harmonically excited conservative

    system may be absorbed by both passive and active means.

    Ram in [1] has developed a method to eliminate the steady

    state motion of a prescribed location in a continuous system

    like rod under the influence of a harmonic excitation. He has

    presented a closed form solution for the control gain in

    terms of infinite product of eigenvalues. This thesis extends

    the approach in [1] to achieve nodal control for suppressing

    vibration at prescribed location in beams and provides a

    simpler formula for the control gain in terms ofeigenfunctions. It is established that, for a uniform

    Bernoulli-Euler beam, the steady state motion at the point of

    excitation can be absorbed by means of a control force

    determined from displacement information at the point of

    application. A closed form solution for the control gain is

    presented and a criterion for implementing the control by

    active and passive means is developed. The result for the

    control gain is generalized for the case of a non-uniform

    beam. It is also shown through some examples that the

    theory can be also applied to eliminate the steady state

    motion at any desired location other than the point of

    excitation. Analysis is also performed to determine the

    optimal control force and investigate the stability of theoverall system. Several controllability graphs are shown and

    meaningful conclusions are drawn from these graphs. An

    experiment is designed to validate the proposed theory and

    display its practicality.

    The developed theory will provide a strong foundation

    for realizing realistic and convenient methodologies in

    control applications in cases like surgical procedures,

    drilling and turning operations etc. However, one of the

    many direct applications of this method is structural

    vibration control in an aircraft wing. Several measurements

    such as vibrational response, air temperature, wind velocity

    etc are required in order to monitor flight conditions in an

    aircraft. These data also assist the pilot in flying the aircraft.

    Sensors and data collection circuitry form an entire network

    of the electrical wiring all in and around the airplane body.

    Data acquisition devices are also located on the wing of the

    airplane. Shielding of these devices from undesirable

    vibration of the wing is critical in order to avoid noise in the

    gathered data and prevent physical damage. Exclusion of

    steady state vibration at the locations of these devices

    provides the motivation for this investigation.

    Consider a uniform Bernoulli-Euler beam of length L .

    Suppose that the beam is excited by a harmonic force

    ( ) ttf cos= , as shown in Figure 1(a). The steady statemotion of a prescribed point of the beam may be vanished

    by applying a concentrated control force ),( tau at ax= asshown in Figure 1(b).

    ( ) ( )tawtau ,, = , (1)

    where is the control gain. The partial differential equation

    for the controlled Bernoulli-Euler beam shown in Figure 1(b),

    for Lx

  • 7/30/2019 Book of Abstract 2002

    12/38

    2

    ( )0

    ,2

    2

    =

    x

    tLw, no moment, (5)

    ( )t

    x

    tLwEI

    xcos

    ,2

    2

    =

    shear force. (6)

    The work here focuses on determining a closed form

    solution for the control gain that absorbs the motion of

    the beam at Lx = .

    A closed form expression for the control gain

    obtained from mathematical manipulation is expressed as

    ( )( ) ( )

    ( )

    =

    av

    avavEIa

    1

    12, , (7)

    where 1v and 2v are the deflections of the beams with spanax

  • 7/30/2019 Book of Abstract 2002

    13/38

    13

    2002 ME Graduate Student Conference

    April 13, 2002

    ON THERMALLY INDUCED SEIZURES (TIS) IN JOURNAL BEARINGS

    Rajesh Krithivasan

    M.S. Candidate

    Faculty Advisor : Dr. Michael M Khonsari

    ABSTRACT

    Thermally induced seizure (TIS) in journal bearings is a

    mode of failure that can occur quite suddenly and end up

    with a catastrophic damage to the system. A failure, as such,

    can occur quite suddenly and often the damage to the

    system is catastrophic. Although it can take place in

    lubricated bearings, thermally induced seizure is

    predominant when a hydrodynamic bearing happens to

    operate in the boundary or mixed lubrication regimes. These

    conditions occur during start-up or in an event of lubricant

    supply blockage. The objective of this work is to perform acomprehensive study of seizure in bearings during start-up

    and arrive at a seizure time evaluation formula that is a

    function of the various operating parameters. Dufrane and

    Kannel1

    analyzed the catastrophic seizure of bearings due to

    dry friction by a simple 1D equation relating the seizure time

    to the bearing operating parameters and material properties.

    Hazlett and Khonsari2

    performed a detailed finite element

    analysis to gain insight into the nature of the contact forcesand encroachment of the mating pair leading to TIS of a dry

    bearing during start up.

    The finite element modeling is done using ANSYS 5.73.

    First, the TIS analysis of Hazlett and Khonsari2

    was

    recreated. The finite element model of the present work

    employs a finer mesh than the mesh used by Hazlett and

    Khonsari to evaluate the contact forces with more accuracy.

    The analysis of a bearing undergoing TIS during start up

    was done by the following steps: 1. A 2-D static contact

    analysis was performed to determine the contact forces and

    the contact angle. 2. A transient heat transfer analysis was

    done to model thermal effects of dry frictional heating on the

    journal and the bearing. 3. A transient thermoelastic analysis

    was performed to study the interactions of the journal-

    bearing pair during bearing start -up. The variation of radial

    clearance, contact forces and ovalization of the bearing were

    studied in this analysis.

    The loading applied in the thermal analysis consists of

    the heat generated by the frictional contact at the shaft-

    bushing interface, which is a function of the load, speed and

    coefficient of friction. The heat generated is applied to the

    journal and the bushing according to the areas of contact on

    the shaft and the bushing2

    and cooled convectively at the

    areas not in contact. The external surface is also cooled by

    free convection as shown in Fig 2. The loading for the non-

    linear thermoelastic analysis consists of the thermal loads

    applied as nodal temperatures and the radial force acting on

    the journal. The time dependent thermal load is obtained

    from the results of the transient thermal analysis. The static

    load, W is applied to act in the negative y-direction on the

    shaft. As the model utilizes half-symmetry, a load of W/2 is

    applied. Symmetry boundary conditions are used to model

    the one-half symmetry as shown in Figure 3. The constraint

    of the bearing on its outer surface is modeled by fixing the

    bearing at the node under the shaft on the outer edge of the

    bearing on the symmetry plane. This constraint

    approximates the boundary condition on the bottom surface

    of a pillow block type of bearing as shown in Figures 1 and

    3.

    Due to the rise in temperature, the encroachment of theshaft on to the bushing with concomitant reduction in the

    clearance continues until TIS occurs due to the increase in

    frictional torque. This process is a complex, non-linear

    phenomenon. Analysis shows that TIS is initiated by the

    ovalization of the bearing combined with the uniform

    outward expansion of the shaft yielding contact between the

    top of the shaft and the inner bushing surface. This leads to

    an increase in the contact forces and the formation of

    multiple contact areas. Increase of contact forces raises the

    frictional heat flux and sets up a positive feedback that

    accelerates the loss of clearance. Analyses show that the

    increase in the frictional torque is abrupt once the

    ovalization of the bearing causes the shaft to encroach thebushing, as there is further loss in the operating clearance.

    Seizure Criterion - Frictional torque is the torque

    resisting the driving torque exerted by the motor. When the

    frictional torque increases beyond the extent of the driving

    torque capability, it can be concluded TIS is imminent. The

    contact forces acting on the gap elements at any instant of

    time determine the frictional torque at any time. The frictional

    torque increased to exceedingly large values within typically

  • 7/30/2019 Book of Abstract 2002

    14/38

    14

    3 seconds after the first instance of establishment of new

    areas of contact immediately after ovalization. See Figure 4.

    The seizure time can be written as a function of the

    speed, load, shaft radius, clearance, friction coefficient and

    the bearing length. i.e.

    ts = g (N, W, Rs, C, f, L).

    The variation of the seizure time during the system start-upis studied when the operating parameters (variablesN, W, Rs,

    C, f, L) are varied. Then a generalized equation is derived

    depending on the individual relationships of the operating

    parameters with the seizure time. Using the range of data

    from 72 sets of simulations and applying a statistical

    analysis4, we obtain the following expression for the seizure

    time.

    ( ) ( )74.8172.126.15.14.628607 107.51105.1 +=s

    LC

    sRWfNeet

    The empirical relationship is verified for its validity using

    some of the results published by Hazlett and Khonsari2

    and

    Wang et.al.5. See comparitive results shown in Table 1.

    FIGURES AND TABLES

    REFERENCES

    1. Dufrane K. and Kannel J. Thermally induced seizures of

    journal bearings.ASME Journal of Tribology, 1989, 111,

    288-92

    2. Hazlett T.L. and Khonsari M.M. Finite element model of

    journal bearing undergoing rapid thermally induced

    seizure. Tribology International, 1992a, 25, No.3, 177-82

    3. ANSYS 5.7 Online Users Manual, 2001,ANSYS Inc .

    4. Hamrock B.J. Elastohydrodynamic lubrication of point

    contacts. Ph.D Thesis, Institute of Tribology,

    Department of Mechanical Engineering, The

    University of Leeds, 1976, 44-66, pp. 93-102

    5. Wang H., Conry C. and T.F., Cusano, Effects of

    Cone/Axle Rubbing Due to Roller Bearing Seizure on

    the Thermomechanical Behavior of a Railroad Axle.

    ASME Journal of Tribology , 1996, Vol.118, pp.311-319

  • 7/30/2019 Book of Abstract 2002

    15/38

    15

    2002 ME Graduate Student Conference

    April 13, 2002

    AN EIGENVALUE CONFORMING MODEL FOR A VIBRATIING ROD

    Jaeho ShimPh.D. Candidate

    Faculty Advisor: Dr. Y. M. Ram

    ABSTRACT

    The natural frequencies determined by using finite

    element or finite difference models of order n are fairly

    accurate only about 3n of lower eigenvalues of the

    underlying continuous system. The natural frequencies of a

    uniform rod with 60=n and exact solution are demonstratedin Figure 1. The new model to improve this existing problemhas been developed. The model named as a spectral

    conforming discrete model can estimate the n lowest

    eigenvalues of the continuous system with uniform

    accuracy. The essential ingredient in building of such a

    model is the inverse eigenvalue problem of reconstructing a

    chain of mass-spring system with prescribed spectral data

    [1].

    Consider a non-uniform axially vibrating rod of length

    L , axial rigidity ( )xp , and mass per unit length ( )x ,

    which is fixed at 0=x and free to oscillate at Lx = , asshown in Figure 2. The axial motion

    ( )txu ,of the rod at the

    time t is governed by the differential equation (1) and two

    boundary conditions (2).

    ( ) ( )2

    2

    t

    ux

    x

    uxp

    x =

    (1)

    ( ) 0,0 =tu , ( ) 0, =

    x

    tLu , (2)

    This non-uniform rod shown in Figure 3 may be

    approximated as a piecewise continuous rod with runiform

    parameters ip and i within the i th element. In order todetermine a higher order spectral conforming element model,

    a uniform rod element of length L, axial rigidityp, and mass

    per unit length in Figure 4 is considered. A matrix A

    which is reconstructed from spectral data is defined as

    2

    1

    2

    1

    = KMA . (3)

    The matrix A is symmetric tridiagonal with positive diagonal

    elementl

    and negative off diagonalj

    .

    =

    rr

    rrr

    1

    112

    211

    11

    OOOA (4)

    From the matrixA , the stiffness matrix K and the mass

    matrix M can be determined using the Lanczos method [2].

    The essential novelty in the spectral conforming model

    introduced here is that the dynamic response of the

    continuous system is fitted to the spectrum of the discrete

    estimating model.

    As an example, an exponential rod of length L ,

    constant Youngs modulus of elasticityE

    , constant density

    , and variable cross sectional areaxeA = , is presented.

    The rod is fixed at 0=x and free to oscillate at Lx = , asshown in the figure 5. The eigenvalues of this system have

    been approximated by using finite differences and spectral

    conforming model. The finite difference model implemented

    60=n elements of equal length. The spectral conformingmodel used 4=n elements of equal length, each of order

    15=r . Hence, the global matrices in the three approximatingmethods used are of the same dimension 6060 . Thevarious results obtained are shown in Figure 6. As expected

    the spectral conforming model yields superior overall

    estimation with uniform accuracy for all eigenvalues

    predicted.

    Future research in this topic involves extending the

    method to include tapered elements that can better capture

    the geometry of a non-uniform rod. Broadening the method

    over two and three-dimensional elements appears to be a

    challenging problem.

  • 7/30/2019 Book of Abstract 2002

    16/38

    16

    FIGURES AND TABLES

    Figure 1. Predicted natural frequencies using Finite

    Difference Model, Finite Element Model and Exact Solution

    for 60-digree-of-freedom model.

    Figure 2. Non-uniform axially vibrating rod.

    Figure 3. An r-degree-of-freedom element

    Figure 4. An rth order spectral conforming element model

    Figure 5. Exponential rod

    Figure 6. Predicted natural frequencies using Finite

    Difference Model, Spectral Conforming Model and Exact

    Solution.

    ACKNOWLEDGMENTS

    The research work presented here is supported by a

    National Science Foundation research grant CMS-9978786.

    REFERENCES

    1. D. Boley and G.H. Golub, A survey of matrix inverse

    eigenvalue problem, Inverse Problems, Vol. 3, pp. 595-

    622, 1987.

    2. C. de Boor and G.H. Golub, The numerically stable

    reconstruction of a Jacobi matrix from spectral data,

    Linear Algebra and Its Application, Vol. 21, pp. 245-

    260, 1978.

    3. F.P. Gantmakher and M.G. Krein, Oscillation Matrices

    and Kernels and Small Vibration of Mechanical Systems,

    State Publishing House for Technical-TheoreticalLiterature, Moscow-Leningrad, 1961 (Translation: US

    Atomic Energy Commission, Washington DC).

    4. J. Paine, A numerical method for the inverse Sturm-

    Liouville problem, SIAM J. Sci., Stat. Comput., Vol. 5, pp.

    149-156, 1984.

    5. J.W. Paine, F. de Hoog and R.S. Anderssen, On the

    correction of finite difference eigenvalue approximations

    for Sturm-Liouville problems, Computing, Vol. 26, pp.

    123-139, 1981

    0 10 20 30 40 50 600

    50

    100

    150

    200

    250

    k

    k

    Finite Difference Model

    Finite Elements Model

    Exact Solution

    0 10 20 30 40 50 600

    50

    100

    150

    200

    250

    k

    k

    Finite Difference Model

    Finite Elements Model

    Exact Solution

    Finite Difference Model

    Finite Elements Model

    Exact Solution

    )(),( xpx

    dx

    ),( txu

    L

    x

    )(),( xpx

    dx

    ),( txu

    L

    x 0 10 20 30 40 50 600

    20

    40

    60

    80

    100

    120

    140

    160

    180

    200

    Exact Solution

    Finite Difference Model

    Spectral Conforming Model

    i

    0 10 20 30 40 50 600

    20

    40

    60

    80

    100

    120

    140

    160

    180

    200

    Exact Solution

    Finite Difference Model

    Spectral Conforming Model

    Exact Solution

    Finite Difference Model

    Spectral Conforming Model

    i

    )(),(),( xxAxE

    L

    )(),(),( xxAxE

    L

    1k

    2k

    1m

    2m3k

    rk

    rm

    ( )

    ( )

    ( )e

    e

    e

    A

    E

    ( )e

    LD

    ( )eL

    1k

    2k

    1m

    2m3k

    rk

    rm

    ( )

    ( )

    ( )e

    e

    e

    A

    E

    ( )e

    LDD

    ( )eL

    1k

    2k

    1m

    2m3k

    rkrm

    p, L

    1k

    2k

    1m

    2m3k

    rkrm

    p, L

  • 7/30/2019 Book of Abstract 2002

    17/38

    1

    2002 ME Graduate Student Conference

    April 13, 2002

    BUCKLING ANALYSIS OF GRID STIFFENED COMPOSITE CYLINDERS

    Samuel Kidane

    M.S. Candidate

    Faculty Advisor: Dr. Eyassu Woldesenbet

    ABSTRACT

    Due to their high stiffness to mass ratio, stiffened cylindrical

    composite shells are major components of Aerospace and

    Aircraft industries. These structures are employed in

    fuselage and fuel tank applications, and are usually

    subjected to combinations of compressive, shear or

    transverse loads. Usually the failure mode associated with

    these structures is buckling. This failure mode is further

    subdivided into local skin and/or stiffener buckling, and

    universal buckling.

    In this paper buckling investigation of a grid stiffened

    composite cylinder is presented using analytical model,

    Finite elements model and experimentation. The cylinder

    under discussion has orthotropic stiffeners integrally made

    with an orthotropic shell. All the buckling analysis is based

    on a uniaxial compressive load condition.

    An analytical model is first developed that reduces the

    grid/shell cylinder panel to an equivalent orthotropic

    laminate (Fig. 1). This model makes use of the force and themoment interactions and derives the A, B and D matrix of the

    equivalent laminate model. Consequently buckling loads are

    calculated making use of the energy method. Using the

    analytical model developed, parametric analysis is preformed

    to determine optimum configuration of stiffeners and shell.

    A Finite elements model is also built using ANSYS for

    the same cylinder. Buckling analyses are performed on

    different models built with different configurations of

    stiffener and shell parameters. The effect of shell thickness

    variation on buckling load and buckling mode is studied in

    detail (Fig 2). Based on this the optimum skin thickness is

    determined for a given stiffener configuration. In this section

    correlation is made between failure mode and optimum skinthickness. In addition to skin thickness the effect of

    stiffeners angle variation is also analyzed using ANSYS. The

    result is plotted and conclusions are drawn on optimum

    stiffener orientation.

    Buckling experiment was also performed on a stiffened

    composite cylinder specimen (Fig 3). The test setup and the

    results obtained are discussed briefly.

    Finally this paper tries to compare the different results

    obtained using the three analysis methods. An attempt is

    made to account for certain differences observed between

    the three analysis methods. Conclusions are drawn on the

    reliability of the analytical model developed and remarks

    made on limitation of model.

    FIGURES AND TABLES

    l

    x

    t

    Fig. 1 Unit cell.

    Fig. 2 FEM analysis (local skin buckling)

  • 7/30/2019 Book of Abstract 2002

    18/38

    18

    -35

    -30

    -25

    -20

    -15

    -10

    -5

    0T ime (s )

    Load

    Strain Gauge1

    Strain Gauge2

    h/2

    1

    2

    Fig. 3 Experimental results.

    ACKNOWLEDGMENTS

    Support for this research was provided by a grant from

    the NASA/Louisiana Space Consortium and the Louisiana

    Board of Regents under LaSPACE (BOR12662) and LEQSF(2001-04)-RD-B-03.

    REFERENCES

    1. Helms JE, Li G, Smith BH. Analysis of Grid Stiffened

    Cylinders. ASME/ETCE 2001.

    2. Brush DO, Almroth BO. Buckling of Bars, Plates, and

    Shells. McGraw-Hill Book Company, New York, NY

    1975.

    3. Bruhn EF. Analysis and Design of Flight Vehicle

    Structures. Jacobs Publishing, Inc., Carmel, IN June

    1973

    4. Navin J, Norman FK, Damodar R. Formulation of AnImproved Smeared Stiffener Theory of Buckling

    Analysis of Grid-Stiffened Composite Panels. NASA

    technical Memorandum 110162, June 1995.

    5. Ramm E. Buckling of Shells. Springer-Verlag, Berlin

    1982.

    6. Gerdon G, Gurdal Z. Optimal Desing of Geodesically

    Stiffened Composite Cylindrical Shells. AIAA Journal,

    November 1985; 23(11):1753-1761.

    7. Troisky MS. Stiffened Plates, Bending, Stability and

    Vibrations. Elsevier, 1976.

    8. Phillips JL, Gurdal Z. Structural Analysis and Optimum

    Design of Geodesically Stiffened Composite Panels.

    Report NASA CCMS-90-50, (VPI-E-90-08), Grant NAG-1-643, July 1990.

    9. Whitney JM. Structural Analysis of Laminated

    Anisotropic Plates. Technomic, 1987.

    10. Agarwal BD, Broutman LJ. Analysis and Performance of

    Fiber Composites. John Wiley and Sons, 1990.

    11. Dow NF, Libove C, Hubka RE. Formulas for Elastic

    Constants of Plates with Integral Waffle-like Stiffening.

    NACA RM L53L1 3a, August 1953.

  • 7/30/2019 Book of Abstract 2002

    19/38

    19

    2002 ME Graduate Student Conference

    April 13, 2002

    SYNTHESIS, PROPERTIES AND CHARACTERIZATION OF CR-DLC

    NANOCOMPOSITE FILMS

    Varshni Singh

    Ph.D. Candidate

    Faculty Advior: Dr E.I. Meletis

    ABSTRACT

    Diamondlike carbon (DLC) films have been extensively

    studied over the past decade, due to their unique

    combination of properties. One of the drawbacks with DLC

    films is that they are thermally unstable beyond 350o

    C [1].Above 400

    oC the changes are more profound and

    graphitization of the film occurs by conversion of C bonds

    from sp3

    to sp2, a phenomenon that is also observed during

    wear at hot spots [2]. Thus for more than a decade

    researchers have focused on metal-containing DLC (Me-

    DLC) films in an effort to improve wear resistance, adhesion,

    thermal stability and toughness. A number of studies on

    synthesis and characterization of Me-DLC films have been

    conducted on Si-, Ti-, Ta-, W- and Nb-DLC [3-10]. Even

    though Cr is a carbide former and possesses an attractive

    combination of other properties (corrosion resistance, wear

    resistance, etc.) little work has been reported in this area

    [6,11]. The purpose of the present work was to initiate asystematic study of the processing-structure-property

    relationship in Cr-DLC films as a function of Cr content. The

    objective is to develop a better understanding of this system

    and identify possible compositional ranges where

    tribological performance and thermal stability are

    significantly improved.

    Cr-DLC nanocomposite films were deposited on Si

    (100) substrate, by reactive magnetron sputtering utilizing an

    intensified plasma-assisted processing system. The

    processing parameters (chamber pressure, bias voltage,

    magnetron current, etc.) were varied to synthesize Cr-DLC

    films, with Cr content ranging from ~0.1 at. % to 28 at. %.

    Carbon and chromium content was determined by

    wavelength dispersive spectroscopy (WDS) utilizing a JEOL

    JXA 733 super electron probe microscope. X-ray diffraction

    (XRD) experiments were performed, using a Rigaku Miniflex

    2 diffractometer with a Cu - K source and transmissionelectron microscopy (TEM) was conducted in a JEOL JEM

    2010 electron microscope. Pin-on-disc experiments were

    conducted by utilizing an ISC-200 tribometer and the wear

    rate was calculated by a Veeco 3D optical profilometer.

    Mechanical properties, of the films were studied by

    nanoindentation measurements, using a Hysitron

    Triboscope instrumented nanoindentation/ nanoscratchdevice incorporated on a Digital Instrument Dimension 3100

    atomic force microscope. The short-range order structure ofthe films is being studied by the x-ray absorption fine

    structure (XAFS) spectra collected by using bending

    magnet radiation at the double crystal monochromator 1

    beamline. The thermal stability experiments were conducted

    by utilizing a DSC-7 differential scanning calorimeter.

    XRD patterns of DLC and Cr-DLC films, show that all

    the films exhibited nearly the same XRD pattern, indicating

    an amorphous structure. Electron diffraction and high-

    resolution TEM studies show that the films, with ~ 9 at. %

    Cr, deposited using low (-200 V) and high (-1000 V) specimen

    bias during processing are composed of nanocrystalline

    metallic Cr and nanocrystalline cubic chromium carbide,

    respectively surrounded by an amorphous matrix. Fig. 1show the dark contrast clusters, diameter 1 5 nm,

    surrounded by an amorphous matrix corresponding to

    nanocrystalline Cr carbide. The XANES spectra of the Cr-

    DLC films show that the Cr content (5 to 28 at. %) in the Cr-

    DLC films, deposited at 1000 V bias, has little effect on its

    structure and Cr atoms are incorporated in the carbon

    network. This initial result is in agreement with that of the

    TEM results. Furthermore, such preference for metal atoms

    to be incorporated into the local carbon structure has also

    been shown by our recent XAFS experiments on Si-DLC

    films with ~10 at. % Si [12].

    Fig. 2 presents the variation of the coefficient of

    friction () and wear rate of Cr-DLC films (deposited at 1000V) with Cr content. The results in Figs. 2 show that in

    general all Cr-DLC films exhibit a low (less than 0.2) forboth alumina and 440 stainless steel pins. It is interesting to

    note that remains at low levels (less than 0.15) for up to aCr/C ratio of 0.24. At a higher Cr level, the results indicate

    that the coefficient of friction increases. Very similar

    behavior has been observed previously for W-DLC films [5].

    The wear rate was also found to be relatively independent of

  • 7/30/2019 Book of Abstract 2002

    20/38

    20

    pin material. The wear rate was low and remained at almost

    the same levels in films with a Cr/C ratio less than 0.24. At

    higher Cr content (Cr/C equal to 0.35), the wear rate

    increased significantly (by at least an order of magnitude),

    which is consistent with the relatively higher observed forthat film. The present results are in general agreement with

    the previous reports however, doesnt show high wear ratesat very low Cr content.

    The DSC result qualitatively suggests that the thermal

    stability of the Cr-DLC films increases with increasing Cr

    content, due to stabilizing effect of Cr on the DLC matrix

    network, up to the point where the DLC network is

    completely stabilized. Nanoindentation results suggest that

    the hardness of the films reduces with increasing Cr content

    to ~3 atomic % and then it stabilizes around 13 GPa. With the

    exception of an initial deep, reduced modulus (E/(1- ?2))

    increases with increasing Cr content and stabilizes around

    118 GPa at ~11 atomic % Cr. The H/E/(1- ?2) exhibits a peak

    value of ~0.17 at 0.05 atomic % Cr and then gradually

    decreases and stabilizes to values around 0.11. Compared toother Me-DLC films, the present profile of H/E/(1- ?

    2) for Cr-

    DLC exhibits this interesting region yet to be explored

    between 0.05 at. % Cr and ~2.75 at. % Cr. Presently, the

    reason for this peculiar behavior is unknown.

    At present, the in-depth analysis of the spectra

    obtained from Cr-DLC films is underway. Study of Cr-DLC

    films deposited at lower substrate bias is planned for the

    next period. In addition, a couple more compositions in the

    aforementioned range between 0.05 at. % Cr and 2.75 at. %

    Cr are planned to explore the lower range of the Cr content.

    So as to completely understand the effect of Cr content and

    the substrate bias on the short-range order around Cr in the

    Cr-DLC films further analysis and experiments are underway.

    ACKNOWLEDGMENTS

    This work was supported by the Army Research Office

    grant DAAG55-98-1-0279 and Louisiana Board of Regents.

    TEM was performed at MCC facility of LSU with the help of

    Dr J. Jiang. Nanoindentations were performed with the help

    of Ms Tracy Morris and XAFS spectroscopy was done with

    the help of Dr V. Palshin and Dr R. Tittsworth in CAMD,

    LSU. WDS was performed using electron microscopy

    facility of the Geology Department at LSU with the help of

    Dr. Xie. Assistance of Mr. Pankaj Gupta in the deposition

    experiments is also acknowledged.

    REFERENCES

    1. Z.L. Akkerman, H. Efstathiadis, and F.W. Smith,J. Appl.Phys., 80(5), 3068-3075 (1996).

    2. Y.Liu and E.I. Meletis,J. Mater. Sci., 32, 3491(1997).

    3. A. Varma, V. Palshin, K. Fountzoulas and E.I. Meletis,

    Surface Engineering15(4), 301-306 (1999).

    4. K. Oguri and T. Arai, J. Mater. Res., 7(6), 1313 (1992).

    5. C.P. Klages and R. Memming,Materials Science Forum,

    52-53, 609-644 (1989).

    6. Y.L. Su and W.H. Kao, J. Mater. Eng. Perf., 9(1) (2000)

    38-50.

    7. M. Fryda, K. Taube and C-P Klages, Vacuum, 41(4-6)

    (1990) 1291-1293.

    8. H. Dimigen and C-P Klages, Surf. Coat. Technol., 49

    (1991) 543-547.9. W.J. Meng and B.A. Gillispe,J. Appl. Phys. , 84(8) (1998)

    4314-4321.

    10. K. Bewilogua, C.V. Cooper, Surf. Coat. Technol., 132

    (2000) 275-283.

    11. X. Fan, E.C. Dickey, S.J. Pennycook and M.K. Sunkara,

    Appl. Phys. Let., 75(18) (1999) 2740-2742.

    12. V.A. Palshin, R.C. Tittsworth, K. Fountzoulas and E.I.

    Meletis,Journal of Materials Science 37 , (2002).

    0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40

    1E-9

    1E-8

    1E-7

    1E-6

    wear rate

    WearRa

    te(mm

    3/N-m)

    Pin Material

    440 Steel

    Alumina

    Cr/C (atomic ratio)

    0.1

    0.2

    0.3

    0.4

    0.5Load 2.5 N

    Pin dia 9.5 mmSliding speed 0.1m/s

    Coeffice

    intoffriction

    Figure 1 HRTEM image of Cr-DLC films with Cr 9

    at. % deposited at a bias of 1000V.

    Figure 2 Coefficient of friction and wear rate of Cr-DLC

    films of Cr/C ratio.

  • 7/30/2019 Book of Abstract 2002

    21/38

    21

    2002 ME Graduate Student Conference

    April 13, 2002

    NUMERICAL SIMULATION OF FLOW AND HEAT TRANSFER IN MICRO HEAT

    EXCHANGERS

    Readul Islam

    M.S. Candidate

    Faculty Advisor: Dr. Sumanta Acharya

    ABSTRACT

    Pin fin arrays have been used for turbine blade cooling

    applications in the trailing edge where they can fulfill a

    structural as well as a heat transfer function. A recently

    proposed concept involves covering the outer surface of

    turbine blades with an array of very short pin fins andadding a coating on top that is exposed to external gases [1].

    The coating completely enshrouds the turbine blade, leaving

    a micrometer-sized gap bridged by the pin fin array, and

    preventing contamination of the coolant by the high

    temperature gases outside. Cooling air bled from the

    compressor stage flows through the gap, protecting the

    blade surface.

    A preliminary computational study using a commercial

    CFD program (Fluent) was undertaken to provide support

    and future guidance to the experimental evaluation of the

    concept under way at LSU. The problem was modeled as

    periodic flow with conjugate heat transfer through an array

    of cylindrical pin fins bounded by parallel flat plates. Theenergy input from the external gases was modeled by a

    uniform heat flux perpendicular to the fin axis applied to the

    top endwall, while the bottom endwall was assumed to be

    adiabatic.

    To validate the computational model, simulations were

    run to compare previous experimental work with various

    types of pin fin arrays performed by Chyu [2] and Metzger

    [3]. Good agreement with published friction factor and

    Nusselt number results therein inspires a level of confidence

    in the current computational model.

    The computational study investigated the effects of

    varying Reynolds number and Prandtl number on the friction

    factor and heat transfer characteristics of the basic flow

    configuration. Table 1 displays that, for the range of

    Reynolds numbers in the present study, the heat transfer

    enhancement increases with increasing Reynolds number.

    However, this increased enhancement comes with rises in

    the friction factor as flow becomes more turbulent. Friction

    factors and Nusselt numbers can be incorporated into a

    single quantity that contains information about the pressure

    penalty paid for increased heat transfer, known as the

    thermal performance factor (TPF):

    TPF = Nu ?

    Table 1 indicates a maximum TPF that falls within the range

    of Reynolds numbers used.

    Simulations were also performed to evaluate the effectsof modification of the fin array geometric parameters

    changing the fin height (H/D), and the streamwise (L/D) and

    spanwise fin (W/D) array density. Results presented in Table

    Table 1: Results of increasing Reynolds number on friction

    factor and Nusselt number (normalized by corresponding flat

    channel values), and associated TPF

    Re /flat Nu/Nuflat TPF

    675 0.3974 1.79 2.43

    1350 0.2950 13.49 20.26

    2025 4.0011 17.66 11.12

    3038 7.5495 22.72 11.58

    Table 2: Results of changing geometry parameters (base

    case: L/D = W/D = 5; H/D = 2.5) on friction factor and

    Nusselt number (normalized by corresponding flat channel

    /flat Nu/Nuflat TPF

    1.25 15.7 7.9 3.16

    2.5 4.6 10.3 6.20H/D

    5 3.0 16.6 11.472 5.3 12.3 7.06

    5 4.6 10.3 6.20L/D

    8 4.8 8.8 5.19

    2 29.8 23.0 7.42

    5 4.6 10.3 6.20W/D

    8 1.9 6.2 4.95

  • 7/30/2019 Book of Abstract 2002

    22/38

    22

    2 indicate that from a heat transfer viewpoint, larger H/D

    values are desiredthis seems to reflect the rising

    effectiveness of the fluid to remove energy as the fin height,

    and thus, the channel height is increased. Heat transfer canalso be increased by decreasing L/D and W/D, which means

    increasing the fin array density. However, as Table 2

    demonstrates, increasing fin density comes with severe

    pressure penalties. Nusselt numbers are more responsive to

    W/D changes than L/D, possibly because the wake of the

    flow (L/D) isn't as important as the shear layers that form

    around the fin region. Taken overall, the best performance

    will be obtained from closely spaced arrays with large height

    to diameter ratiosessentially, the current results are

    predicating a move toward transverse flow across closely

    spaced tube bundles. This observed trend matches well with

    [4], where it was noted that the heat transfer enhancement

    using pin fin arrays of intermediate H/D is lower than that for

    classic tube bundles operating at the same Reynolds number

    (until very high Reynolds numbers are reached).

    While the pin fin arrays mentioned so far consist of

    cylindrical pin fins, it is by no means certain that a circular

    cross section produces the most effective heat transfer

    enhancement. The computational study was extended to

    investigate the effects of a variety of fin shapes at a

    Reynolds number of 3000. The table associated with Figure 1

    illustrates performance factors for square, diamond and

    elliptical fins oriented parallel and perpendicular to the flow.

    In terms of TPF, the last case offers a viable alternative to

    cylindrical pin fin arrays.

    The results presented allow optimal choices ofpromising geometric parameters and fin shapes to be made

    for further experimental study.

    ACKNOWLEDGMENTS

    This study is supported by DARPA. The author wishes

    to thank Dr. Acharya and Dr. Kelly for valuable insight and

    guidance, and Christophe Marques for fruitful discussions.

    Criticism from Dr. A. K. Saha, constructive much more often

    than not, is gratefully acknowledged.

    REFERENCES

    1. J. C. COYNEL, MS thesis, Louisiana State University,

    Baton Rouge, Louisiana, 1999.

    2. M. K. CHYU, Y. C. HSING and V. NATARAJAN, J.

    Turbomachinery. 120 (1998) 362-367.

    3. D. E. METZGER, C. S. FAN and S. W. HALEY, J. Eng.

    For Gas Turbines and Power. 106 (1984) 252-257.

    4. D. E. METZGER, R. A. BERRY and J. P. BRONSON, J.

    Heat Transfer. 104 (1982) 700-706.

    A B

    C D

    Figure 1. Nusselt number contours on top surface of channel for different pin shapes for L/D = W/D = 5, H/D = 2.5

    arra s and Re nolds number = 3x104

    and associated erformance factors

  • 7/30/2019 Book of Abstract 2002

    23/38

    23

    2002 ME Graduate Student Conference

    April 13, 2002

    ADVANCED TURBULENCE MODELING FOR INDUSTRIAL APPLICATIONS

    Raymond M. Jones

    Ph.D. Candidate

    Faculty Advisor: Dr. Sumanta Acharya

    ABSTRACT

    Computational fluid dynamics ( CFD ) in industry is

    typically performed using the Reynolds-averaged Navier-

    Stokes equations ( RANS ). With RANS complex turbulent

    flows at high Reynolds numbers can be solved with

    reasonable accuracy and within an acceptable amount of

    time. Other methods such as large eddy simulation ( LES )

    and direct numerical simulations ( DNS ) can be used to

    obtain more accurate results but require extensive

    computational resources, even for complex turbulent flows

    at moderately low Reynolds numbers.

    With RANS, a turbulence model is needed to close the

    momentum equations. Two-equation turbulence models

    such as the k- model have been primarily used in industrybecause of their robustness. There are several different

    types of two-equations turbulence models but they are

    similar in that they all use damping functions to accurately

    represent near wall turbulence. These damping functions

    are usually derived for simple flows, such as flow in achannel, and are ill suited for most complex flows.

    In the k- model, the eddy viscosity is computed as

    2kCt = where C is typically 0.09. Figure 1 shows

    computed values of t for 09.0=C and 075.0=C for a

    turbulent channel flow. It can be seen that t is

    overpredicted for both values of C . This shows that t

    computed by the k- model can not accurately predict thenear wall eddy viscosity as long as C is a constant. The

    damping functions mentioned above are used to replace C

    with a function.Based on this observation Durbin (1991) introduced an

    alternative eddy viscosity formulation defined as

    kvCt2= where 2.0=C and

    2v is the velocity

    fluctuation normal to the wall. This formulation can also be

    seen in Fig. 1. Durbin (1991) developed the kfv 2 model, which solves a scalar transport equation for k, , and

    2v which are used to computed the eddy viscosity as

    kvCt2= . The kfv 2 model has shown to

    produce better results compared to conventional two-

    equation models (Durbin (1992), Parneix et al. (1998)) .

    Despite the improved accuracy, the kfv 2 model has

    shown to be numerically stiff even for simple flows. In thepresent work a new model has been developed which uses

    the general framework of the original kfv 2 model but

    has shown to be more robust. In the new model, the

    equation in the kfv 2 model has been replaced by the

    equation of Wilcox and is called the kfv 2 model. A newrelationship between and is introduced based ondimensional arguments, and several of the closure constants

    calibrated with respect to DNS data.

    The kfv 2 model has been tested for predicting the

    channel flow of Moser (1999) for Re .=395. The kfv 2

    model was compared with the k- model and the kfv 2 model and the results for the streamwise velocity predictions

    can be seen in Fig. 2. All of the models accurately predict

    the correct velocity profile. Figure 3 shows kinetic energy

    predictions. It can be seen that the kfv 2 model showsimproved predictions compared to both the k- model and

    the kfv 2 model. The kfv 2 model was tested forpredicting the backward facing step of Kasagi (1993). Figure

    5 shows that the kfv 2

    model and the kfv 2

    modelproduce better near wall velocity predictions compared to

    the k- model.

  • 7/30/2019 Book of Abstract 2002

    24/38

    24

    FIGURES AND TABLES

    +

    y+

    0 0.02 0.04 0.06 0.08 0.10

    50

    100

    150

    200DNS

    0.09k2/

    0.075k2/

    0.2kv2/

    Fig. 1 Exact eddy viscosity compared with the k- model

    (blue and orange) and the kfv 2 model (red line)

    y+

    u+

    100

    101

    1020

    4

    8

    12

    16

    20

    24 Re = 39 5

    v2f-k

    k-

    v2f-k

    Fig. 2 Mean Velocity

    k+

    y+

    0 1 2 3 4 5 60

    80

    160

    240

    320

    400 Re = 395

    v2f-k

    v2f-k

    k-

    Fig. 3 Kinetic Energy

    y+

    diss

    prod

    0 25 50 75 100-0.3

    -0.2

    -0.1

    0

    0.1

    0.2

    0.3Re = 395

    v2f-k

    k-v

    2f-k

    Fig. 4 Production and Dissipation

    x/H

    y/H

    0 1 2 3 4 5 6 7 8 9 10 110

    0.5

    1

    1.5

    2

    2.5

    3

    Fig. 5 Streamwise velocity for the k- model (solid line),

    kfv 2 model (dashed), kfv 2 model (dotted)

    x/H

    y/H

    0 1 2 3 4 5 6 7 8 9 10 110

    0.5

    1

    1.5

    2

    2.5

    3

    Fig. 6 Kinetic Energy for the k- model (solid line),

    kfv 2 model (dashed), kfv 2 model (dotted)

    ACKNOWLEDGMENTS

    I would like to acknowledge The Dow Chemical for their

    support on this project.

    REFERENCES

    1. P. A. DURBIN,AIAA Journal. 33 (1991) 659-664.

    2. P.A. DURBIN,Annual Research Briefs, (1992) 3-16.

    3. N.KASAGI, A. MATSUNAGA, and S. KAMARA, J.

    Wind Eng. Ind. Aero. 46 (1993) 821-829.

    4. R.D.MOSER, J.KIM, N.MANSOUR, Phys. Fluids. 11

    (1999) 943-945.

    5. S.PARNEIX, M.BEHNIA, P.DURBIN, Annual Research

    Briefs, (1998) 149-164.

  • 7/30/2019 Book of Abstract 2002

    25/38

    25

    2002 ME Graduate Student Conference

    April 13, 2002

    TRIBOLOGICAL BEHAVIOR OF NANOSTRUCTURED NICKEL

    Dean J. Guidry

    M.S. Candidate

    Faculty Advisor: Dr. Efstathios I. Meletis

    ABSTRACT

    The present study reports the effects of electroplating

    parameters on the microstructure, and thus the mechanical

    and tribological properties, of nanostructured nickel.

    Electroplating was conducted in a Watts type bath at

    current densities of 30 mA/cm2 and 15 mA/cm2 in

    electroplating bath temperatures of 30C and 50C. The PHof the bath was maintained at 3.0 using sulfuric acid. The

    electroplating was carried out using a direct current in

    galvanostatic mode with a nickel anode contained in a

    titanium wire basket. Average grain sizes and uniformity of

    grains were determined from TEM and SEM micrographs.

    Tribological tests were carried out on a pin-on-disc type

    tribometer. The same tests were conducted on Ni-200 for the

    purpose of comparison. Wear rates were calculated for the

    nickel surfaces using optical profilometry and for the

    alumina pins using optical microscopy. Nano-indention

    techniques provided the nanohardness, stiffness, and

    reduced modulus values for all samples. Microhardnessreadings were also recorded to further study the surface

    properties. Result s show how grain size, mechanical

    properties, and wear properties change with the variations in

    plating parameters. Grain size reduction shows surface

    hardness increases and improved tribological properties.

    Plating bath temperature increases showed a decrease in

    grain uniformity.

    ACKNOWLEDGMENTS

    The Author acknowledges Dr. Efstathios I. Meletis, Dr.

    Kun Lian, Dr. Jie Chao Jiang and Varshni Singh for their help

    and advice throughout this research project.

    REFERENCES

    1. G. Robinson, Electronic Engineering Times, 958 (1997)

    33.

    2. T. E. Buchheit, T. R. Christenson, D. T. Schmale, D. A.

    Lavan,Mater. Res. Soc. Sym., 546 (1998) 126.

    3. A. M. El-Sherik, U. Erb,J. Mater. Sci., 30 (1995) 5743.

    4. V. Provenzano, R. Valiev, D. G. Rickerby, G. Valdre,

    NanoStructured Mater., 12 (1999) 1103.

    5. F. H. Froes and C. Suryanarayana, J. Mater. Sci., June

    (1989) 12.

    6. H. Gleiter,Acta Materialia, 48 (2000) 1.

    7. H. Gleiter,NanoStructured Materials, 6 (1995) 3.

    8. C. Meneau et. al., Surface and Coatings Technology,

    100 (1998) 12.

    9. F. Ebrahimi, G. R. Bourne, M. S. Kelly, T. E. Matthews,

    NanoStructured Mater., 11 (1999) 343.

    10. Z. N. Farhat, Y. Ding, D. O. Northwood, A. T. Alpas,

    Mater. Sci. Eng. A, 206 (1996) 302.

    11. S. W. Banovic, K. Barmak, A. R. Marder, J. Mater. Sci.,

    33 (1998) 639.

    12. E. O. Hall,Proc. Phys. Soc., B64 (1951) 747.

    13. N. J. Petch,J. Iron Steel Inst., 174 (1953) 25.

    14. L. S. Stephens, K. W. Kelly, E. I. Meletis, S. Simhadri,

    Mat. Res. Symp. Proc., 518 (1998) 1.

    15. A. H. Chokshi, A. Rosen, J. Karch and H. Gleiter, Scripta

    Metall. Mater., 23 (1989) 1679.

    16. K. Lu, W. D. Wei and J. T. Wang, Scripta Metall.Mater., 24 (1990) 2319.

    17. G. E. Fougere, J. R. Weertman and R. W. Siegel, Scripta

    Metall. Mater., 26 (1992) 1879.

    18. G. Palumbo, U. Erb and K. T. Aust, Scripta Metall.

    Mater., 24 (1990) 2347.

    19. N. Wang, Z. Wang, K. T. Aust, U. Erb, Acta Metall.

    Mater., 43 (1995) 519.

    20. R. Z. Valiev, N. A. Krasilnikov, N. K. Tsenev, Mater. Sce.

    Eng. A, 137 (1991) 35.

    21. S. M. Myers, J. A. Knapp, D. M. Follstaedt, M. T.

    Dugger,J. Appl. Phys., 83 (1998) 1256.

    22. Y. Ichida, K. Kishi, Trans. of the ASME, 119 (1997) 110.

    23. D. A. Rigney,Mat. Res. Innovat., 1 (1998) 231.24. V. Singh, X. Nie, P. Gupta, E.I. Meletis, 6

    thNat. Cong.

    Mech. Proc., 2 (2001) 1.

    25. K. Laul, M. Dorfman, Adv. Mater. and Proc., 158 (2000)

    46.

    26. M. Legros et. al.,Phil. Mag. A, 80 (1999) 1017.

    27. A. B. Witney, P. G. Sanders, J. R. Weertman, Scripta

    Metall. Mater., 33 (1995) 2025.

  • 7/30/2019 Book of Abstract 2002

    26/38

    26

    28. X. J. Wu et. al., NanoStructured Materials, 12 (1999)

    221.

    29. T. R. Christenson, T. E. Buchheit, D. T. Schmale, R. J.

    Bourchier,Mat. Res. Soc. Symp. Proc., 518 (1998) 185.

    30. E. Bonetti et. al.,NanoStructured Mater., 11 (1999) 709.

    31. S. Greek, F Ericson,Mat. Res. Symp. Proc., 518 (1998) 51.

    32. A. Cziraki et. al., Thin Solid Films, 318 (1998) 239.33. G. Auner, et. al., Thin Solid Films, 107 (1983) 191.

    34. R. V. Nandedkar et. al.,Phys. Status Solidi, 72 (1982) 89.

    35. J. C. Pivin et. al.,J. Mater. Sci., 22 (1987) 1087.

    36. P. S. Barlow, R. A. Collins, G. Dearnaley,J. Phys. D: Appl

    Phys., 22 (1989) 1510.

    37. D. M. Mattox,J. Electrochem. Soc, 115 (1968) 1255.

    38. K. Bouslykhane, J. P. Villain, P. Moine, Tribology

    International, 29 (1996) 169.

    39. L. Jun, W. Yiyong, W. Dianlong, H. Xinguo, J. Mater.

    Sci., 35 (2000) 1751.

    40. F. Ebrahimi, A. J. Liscano, Mater. Sci. Eng. A, 301 (2001)

    23.

    41. R. I. Pratt, G. C. Johnson, Mat. Res. Soc. Symp. Proc.,518 (1998) 15.

    42. T. Bieger, U. Wallrabe,Microsystem Tech., 2 (1996) 63.

    43. I. M. Hutchings,Mater. Sci. Eng. A, 184 (1994) 185.

    44. J. Ferrante,Phys. World, July (1991) 46.

    45. S. Jahanmir, in N. P. Suh and N. Saka (eds),

    Fundamentals of Tribology, MIT Press, Cambridge,

    (1980) 455.

    46. J. F. Archard,J. Appl. Phys., 24 (1953) 981.

    47. D. J. Tillack, E.B. Fernsler, ASM Handbook Ninth

    Edit ion, 10 (1996) 754.

    48. LECO Corporation, Metallography Principles and

    Procedures, (1994) 38.

  • 7/30/2019 Book of Abstract 2002

    27/38

    27

    2002 ME Graduate Student Conference

    April 13, 2002

    INTRINSIC STRESS DEVELOPMENT IN TI-C:H CERAMIC NANOCOMPOSITE

    COATINGS

    B. Shi

    Ph. D. Candidate

    Faculty Advisor: Dr. W. J. Meng

    ABSTRACT

    The development of intrinsic stresses within titanium-

    containing hydrocarbon (Ti-C:H) coatings was monitored by

    in-situ substrate curvature measurements using a multi-beam

    optical sensing (MBOS) technique. Stress as a function of

    the Ti-C:H layer thickness was monitored in a wide range ofspecimens, from nearly pure amorphous hydrocarbon (a-

    C:H) to nearly pure titanium carbide (TiC). The intrinsic

    stress within Ti-C:H was found to vary significantly in

    magnitude and depend systematically on the Ti

    composition.

    Ti-containing hydrocarbon (Ti-C:H) coatings,

    consisting of a nm-scale mixture of crystalline titanium

    carbide (TiC) and amorphous hydrocarbon (a-C:H)1, form a

    prototype of pseudo-binary ceramic nanocomposites. Ti-C:H

    coatings possess mechanical properties and tribological

    characteristics which depend systematically on coating

    composition2, demonstrating the potential of engineering

    ceramic nanocomposite coatings for specific applications.The dependence of tribological characteristics of Ti-C:H

    coatings on the Ti composition has been related to a

    percolation type transition3. In addition to the influence of

    plasma characteristics, the coating composition may

    therefore exert a significant influence on intrinsic stress

    development within ceramic nanocomposite coatings.

    This paper addresses the dependence of intrinsic

    stresses within Ti-C:H coatings on the Ti composition. Ti-

    C:H deposition was accomplished using a high-density

    plasma assisted hybrid chemical vapor deposition

    (CVD)/physical vapor deposition (PVD) process. Under

    nominally identical plasma conditions, a series of Ti-C:H

    coatings, ranging from nearly pure a-C:H to nearly pure TiC,

    was deposited onto Si(100) substrates. The development of

    intrinsic stresses was monitored by in-situ measurements of

    substrate curvature change. Our results show that the

    intrinsic stress within Ti-C:H coatings depends

    systematically on the Ti composition. A significant increase

    in stress was observed as the Ti composition increases

    beyond 30 at. % and suggested to be related to the

    percolation type transition in the coating mi crostructure.

    Details of experimental setup and procedures will be

    described in the presentation.

    Figure 1 shows a typical substrate temperature time

    history during a complete Ti-C:H deposition run. The Ti

    cathode current was 1.0A during Ti-C:H deposition. During

    the etch and cool stages, the substrate temperature rosefrom ~ 25 oC to ~ 225 oC and fell to ~ 150 oC. It stayed ~ 150oC during Ti interlayer deposition, and rose to ~ 225

    oC

    during Ti-C:H deposition. During the entire deposition run,

    the temp erature difference between front and back beam

    surfaces was 5 K. Such a temperature difference across a300 m thick Si wafer would induce a substrate curvature

    change K of ~ 1/21 m-1. Figure 1 shows that, during Tiinterlayer and Ti-C:H deposition, change in relative reflected

    laser spot spacing D/D0, which is measured experimentallyand linearly related to the curvature change, induced by

    temperature gradient across the Si substrate is substantially

    smaller than 10 %.

    A multitude of Ti-C:H/Ti/Si(100) specimens weredeposited. During each deposition, the curvature change of

    the Si(100) beam substrate was monitored by MBOS. Figure

    2 shows the average composition of the Ti-C:H layers as a

    function of the Ti cathode current obtained by combining

    RBS and ERD measurements. The Ti and hydrogen

    compositions respectively increase and decrease in a

    monotonic fashion with increasing Ti cathode current. The

    observed trend is consistent with our previous results and

    supports the fact that Ti-C:H coatings are pseudo-binary

    TiC/a-C:H nanocomposites, in which hydrogen inclusion

    occurs only through incorporation into the a-C:H phase4.

    Figure 3 shows measured D/D0 during Ti-C:H deposition asa function of time. The time origin coincides with the

    beginning of Ti-C:H deposition. Only the curvature change

    due to Ti-C:H deposition is taken into account, as D/D0was set to zero at time zero. In the early stage of growth, 0

    400 sec, D/D0 increases approximately linearly to ~ 30%,independent of the Ti composition. In the late stage, 400

    2500 sec, D/D0 continues to increase linearly with time, butin most cases with a distinctly different slope as compared

    to the early stage.

  • 7/30/2019 Book of Abstract 2002

    28/38

    28

    Temperature measurements, such as the one shown in

    Figure 1, showed that during the early stage of Ti-C:H

    growth, the substrate temperature rose ~ 70 K. In the late

    stage, the substrate temperature change was 25 K at all Ticathode currents. This temperature change T would inducea substrate curvature change KT due to the difference in

    thermal expansion between Si and the Ti-C:H coating s-c,

    where Ys, ts, Yc, and tc are respectively the biaxial modulus

    and thickness of the substrate and the coating. s-c wastaken to be ~ 410-6 K-1, according to measurements on W-C:H coatings

    5. For the present measurements, a

    conservative estimate yielded D/D0 +5% forT = +100 K6. It is thus concluded that thermal contribution to the

    present measurements can be neglected, and that in all cases

    the measured D/D0 reflects intrinsic stress development.The linear dependence of D/D0 on time during late stagegrowth indicates a constant level of incremental intrinsic

    stress as the Ti-C:H layer thickens.

    In summary, a detailed experimental study of the

    dependence of intrinsic stress within Ti-C:H coatings on the

    Ti composition was performed by measuring in-situ

    substrate curvature change. The intrinsic stress within Ti-

    C:H layers was found to vary significantly in magnitude and

    depend systematically on the Ti composition. The observed

    stress dependence on coating composition is suggested to

    correlate with a percolation type transition in the coating

    microstructure, and may be one generic characteristic of

    ceramic nanocomposite coating systems.

    ACKNOWLEDGMENTSWe gratefully acknowledge partial project support from

    NIST through ATP program 70NANBH0H3048, NSF through

    grant DMI-0124441, and Louisiana Board of Regents

    through contracts LEQSF(2000-03)-RD-B-03 and

    LEQSF(2001-04)-RD-A-07. The ion beam analysis work at the

    Argonne National Laboratory was performed by L. E. Rehn

    and P. M. Baldo and supported by the DOE Office of

    Science, Basic Energy Sciences, under contract #W-31-109-

    ENG-38.

    FIGURES AND TABLES

    REFERENCES

    1. W. J. Meng, R. C. Tittsworth, J. C. Jiang, B. Feng, D. M.Cao, K. Winkler, V. Palshin, J. Appl. Phys., 88, 2415

    (2000).

    2. W. J. Meng, R. C. Tittsworth, L. E. Rehn, Thin Solid

    Films 377/378, 222 (2000).

    3. B. FENG, D. M. CAO, W. J. MENG, L. E. REHN, P. M. BA

    4. LDO, G. L. DOLL, THIN SOLID FILMS 398/399, 210

    (2001).

    5. D. M. Cao, B. Feng, W. J. Meng, L. E. Rehn, P. M.

    Baldo, M. M. Khonsari, Appl. Phys. Lett. 79, 329 (2001).

    6. J. S. Wang, Y. Sugimura, A. G. Evans, W. K. Tredway,

    Thin Solid Films 325, 163 (1998).

    7. For the present Si(100) beam substrates, Ys = 180 GPa

    and ts = 300 m. tc is taken to be 800 nm, the entire

    thickness of the Ti-C:H layer. The maximum biaxial

    modulus for Ti-C:H coatings is ~ 180 GPa (ref. 8), thus

    Yc is taken to be 180 GPa.

    Time (sec)

    0 500 1000 1500 2000 2500

    Temperature(C)

    0

    50

    100

    150

    200

    250

    Ti cathode 1.0A, front surface

    Ti cathode 1.0A, b