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    17

    r chapters; th

    Figure 3.1).

    Figure 3.2

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    18 Industrial Process Sensors

    section 3.4.6).

    Compression

    Waves

    Figure 3.1 Te ringing o a mechanical bell creates sound waves.

    0 ms

    0.73 ms

    1.47 ms

    2.21 ms

    2.94 ms

    P(x)

    P(x)

    P(x)

    P(x)

    P(x)

    0 1 2 Meters

    Figure 3.2 Te propagation o pressure waves through air, shown at ve dierent instants in

    time. Te dots represent molecules o air, which move orward and backward along the direction

    o propagation. Te local compression o air molecules causes variations in the pressure P(x),

    which is shown as a unction o position x.

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    Sound and Wave Phenomena 19

    see chapter 4)

    section 3.4.3)

    Figure 3.4.

    fT

    = 1

    (a)

    ( b)

    Figure 3.3 wo types o wave: (a) longitudi-

    nal; (b) transverse.

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    20 Industrial Process Sensors

    T

    (a)

    (b)

    Time Axis

    Position Axis

    A

    Peak-to-Peak Amplitude

    Figure 3.4 A continuous wave at a single requency: (a) the time dependence o a wave mea-

    sured at a xed point; the amplitude A and the peak-to-peak amplitudes are shown; the period

    T is the time interval between zero crossings at the axis (or equivalently, the interval between

    any two successive points o the wave that have the same phase); (b) Te position dependence o

    a wave at a single instant in time; the wavelength is the distance between zero crossings at the

    axis (or equivalently, the distance between any two successive points o the wave that have the

    same phase).

    Continuous Wave (CW)

    Pulse

    Tone Burst

    Asymmetric Pulse

    Figure 3.5 Four varieties o wave shape, as discussed in the text.

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    Sound and Wave Phenomena 21

    in chapter 8.

    section 3.6)

    2

    2 2

    2

    2

    1

    x c t=

    ( , ) sin( )x t A kx t = - +

    ( , ) sin( )x t A kx t = + +

    ck

    =

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    22 Industrial Process Sensors

    = =2 2fT

    k =2

    c f=

    ( , ) ( )x t ei kx t = - +

    e ii = +cos sin

    ( ) ( ) ( )t A e e d i i t=-

    12

    A e t e di i t( ) ( )( )

    = --

    12

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    Sound and Wave Phenomena 23

    It should be evident that the wave shapes shown in Figure 3.5 can be transormed into

    Fourier components using equation 3.11; since each o the components is a solution o

    the wave equation, it ollows that these other wave shapes are also solutions o the wave

    equation.

    ck

    g =

    sed inchapter 8).

    z c=

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    24 Industrial Process Sensors

    cn

    nc2

    1

    21=

    22

    11=

    n

    n

    sin sin 21

    21=

    n

    n

    11

    2

    n1

    n2

    Nodes

    Antinodes

    3Beat

    (a) (b)

    (c) (d)

    (e) (f )

    Figure 3.6 Generic wave phenomena: (a) reection and reraction; (b) the superposition o two

    colliding waves; (c) the intererence o two waves (the dotted and dashed lines) causes cancellation

    (solid line) at this moment in time; (d) a standing wave; (e) the beat signal caused by combining

    two signals o dierent requencies (as in heterodyning); () the resonance o a cavity.

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    Sound and Wave Phenomena 25

    cn

    n=

    arcsin 2

    1

    = +1 2

    sin( ) sin( ) sin( ) [ sin(kx t kx t kx t kx - + - + = - + - -- =t)] 0

    sin( ) sin( ) cos sinkx t kx t kx - + - + =

    +

    22

    tt+

    2

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    26 Industrial Process Sensors

    sin( ) sin( ) sin si

    1 21 22

    2t t t+ =

    -

    nn

    1 22

    +

    t

    A B

    Dead Zones

    Figure 3.7 wo speakers that emit the same tone create an intererence pattern that includes

    dead zones in which the sound is reduced.

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    Sound and Wave Phenomena 27

    fc c

    cT v T

    c

    c v T

    c

    c vd

    d s s s

    = =-

    =-

    =-

    ( )

    1

    fs

    AB C

    Wavefronts

    Figure 3.8 A Doppler shif caused by motion o the sourceA moving away rom observer B and

    toward observer C.

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    28 Industrial Process Sensors

    fc v

    c vfd

    d

    ss=

    +-

    fc v

    c vfd

    d

    ss

    =-+

    f fd s= -+

    11

    f fc v

    cfd s s= - =

    -

    ( )1

    f fd s= -12

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    Sound and Wave Phenomena 29

    Nodal Line

    Beam

    DiffractedBeam

    Aperture

    IncidentWave

    HuygensWaves

    Figure 3.9 Diraction o a wave by an aperture. Wave ronts are represented by solid lines,

    and troughs are represented by dashed lines. Many o the Huygens waves have been omitted or

    clarity.

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    30 Industrial Process Sensors

    Wavefronts

    Huygens Waves

    Direction ofPropagation

    Figure 3.10 Reconstruction o waveronts by Huygens waves.

    Angle

    Intensity

    Figure 3.11 A representative polar plot. Te

    solid line represents the intensity o the wave as

    a unction o angle.

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    Sound and Wave Phenomena 31

    PD D= ( )

    =

    dP

    d0

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    32 Industrial Process Sensors

    D D D = +x x xx

    0 0( ) ( )

    (

    D D DDx x xx

    = + +

    = DD DD D D D + + +x x xx

    xx

    ) ( ) ( )

    0 0

    = + + +

    0 0 0D D( )

    x x

    D D= - + -( )0 0

    x x

    x

    (x, t)

    (x + x, t)

    x

    Figure 3.12 Te volume element o air used

    in the derivation o the wave equation or sound.

    Te dimension along the x axis is greatly exag-

    gerated or clarity.

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    Sound and Wave Phenomena 33

    D D DDPP

    xx

    P

    xx= - = -

    ( ) ( )

    0

    2

    2( ) ( )D D

    D

    x t

    P

    x x= -

    0

    2

    2 0t

    P

    x x x x = - = - = - -

    =D D

    0

    2

    2x

    2

    2 2

    2

    2

    1

    x c t=

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