Speed up your CFD simulations with FLOW-3D/MPFLOW-3D/MP is the high peformance computing (HPC) version of FLOW-3D. It enables users to tackle problems with very large domains or long runtimes in an HPC cluster environment.

FLOW-3D/MP offers significant performance advantages including faster runtimes which results in shorter design cycles. It also provides an opportunity to perform comprehensive design of experiments (DOE) and parametirc studies to perfect designs. All this can be achieved while retaining the accuracy offered by FLOW-3D.

Advantages• Developed and optimized for the latest multi-core architecture• Parallelization based on the Hybrid MPI-OpenMP methodology• True Domain Decomposition• Automatic Decomposition Tool allows directional decomposition• Optimized MPI communication and memory management in the pre-processor• Full compatibility with the FLOW-3D v11 GUI and FlowSightTM for post-processing results• The physical models and numerical methods of FLOW-3D/MP v6 are

based on FLOW-3D v11• Remote solving capability

F E A T U R E SM E S H I N G & G E O M E T R Y

F L O W T Y P E O P T I O N S

F L O W D E F I N I T I O N O P T I O N S

T H E R M A L M O D E L I N G O P T I O N S• Structured finite difference/control

volume meshes• Finite element meshes for structural analysis• Multi-Block gridding with nested & linked blocks• Fractional areas/volumes (FAVORTM)

for efficient & accurate geometry definition• Basic solids modeler • Import CAD data• Grid & geometry independence• Cartesian or cylindrical coordinates• Unstructured Memory Allocation

• Internal, external & free-surface flows• Hybrid shallow water/3D flow model• 3D, 2D & 1D problems• Transient flows• Inviscid, viscous laminar & turbulent flows• Non-inertial reference frames• Multiple scalar species• Two-phase flows• Heat transfer with phase change• Saturated & unsaturated porous media

• Natural convection• Forced convection• Conduction in fluid & solid • Fluid-solid heat transfer• Conduction• Specified heat flux• Specified solid temperature• Distributed energy sources/sinks in fluids and solids• Radiation• Viscous heating• Thermal stress evolution• Orthographic thermal conductivity• Thermally-induced stresses

• General initial and boundary conditions• Symmetry• Rigid and flexible walls• Continuative• Periodic• Specified pressure• Specified velocity• Outflow• Grid overlay• Hydrostatic pressure• Volume flow rate• Non-linear periodic and solitary surface waves• Restart from previous simulation• Continuation of a simulation• Overlay boundary conditions • Change mesh• Change model parameters

P H Y S I C A L M O D E L I N G O P T I O N S• Fluid structure interaction• Thermal stress evolution• Plastic deformation of solids• Sediment scour deposition & bedload transport• Cavitation• Phase change (liquid-vapor, liquid-solid)• Surface tension• Thermo-capillary effects• Wall adhesion• Wall roughness• Vapor & gas bubbles• Solidification & melting• Mass/momentum/energy sources• Shear-, density- & temperature-dependent viscosity• Thixotropic viscosity• Visco-elastic, -plastic fluids• Elastic membranes & walls• Evaporation residue• Electric field• Dielectric phenomena• Electro-osmosis• Electrostatic particles• Electro-mechanical effects• Joule heating• Air entrainment• Molecular & turbulent diffusion• Temperature-dependent material properties

N U M E R I C A L M O D E L I N G O P T I O N S

F L U I D M O D E L I N G O P T I O N S

S H A L L O W F L O W M O D E L S

A D V A N C E D P H Y S I C A L M O D E L S

• Granular flow• Moisture drying• Solid solute dissolution• Spray cooling

P H Y S I C A L M O D E L I N G O P T I O N S C O N T I N U E D

• TruVOF ®Volume-of-Fluid (VOF) method for fluid interfaces

• First and second order advection• Sharp and diffuse interface tracking• Implicit & explicit numerical methods• GMRES, point and line relaxation pressure solvers• User-defined variables, subroutines &

output• Utilities for runtime interaction during execution

• One incompressible fluid – confined or with free surfaces

• Two incompressible fluids – miscible or with sharp interfaces

• Compressible fluid – subsonic, transonic, supersonic• Stratified fluid• Acoustic phenomena• Mass particles with variable density or diameter

• Dielectric phenomena• Shallow water model• General topography• Wetting & drying• Wind shear• Ground roughness effects• Laminar & turbulent flow

• General moving objects model with 6 DOF–prescribed and fully-coupled motion

• Rotating/spinning objects• Collision model• Tethered moving objects • Flexing membranes and walls• Porosity• Finite element based elastic-plastic deformation• Finite element based thermal stress evolution due to

thermal changes in a solidifying fluid

P O R O U S M E D I A M O D E L S• Saturated and unsaturated flow• Variable & directional porosity• General flow losses (linear & quadratic)• Capillary pressure• Heat transfer in porous media• Linear & quadratic flow losses• Van Genunchten model for unsaturated flow

M E T A L C A S T I N G M O D E L S• Solidification & melting • Solidification shrinkage with interdendritic feeding• Micro & macro porosity• Binary alloy segregation • Thermal die cycling• Thermal stress & deformations• Surface oxide defects• Cavitation potential• Lost-foam casting• Semi-solid material• Iron solidification• Sand core blowing & drying• Permeable molds• Core gas generation• Back pressure & vents• Shot sleeves• Air entrainment• Temperature-dependent material properties• Cooling channel definitions

U S E R C O N V E N I E N C E S

D A T A P R O C E S S I N G O P T I O N S

• Mesh & initial condition generators • Automatic time-step control for accuracy & stability• Automatic convergence control • Mentor help to optimize efficiency• Change simulation parameters while solver runs• Manage & launch multiple simulations• Automatic simulation termination based on user-

defined criteria

• Automatic or custom results analysis• High-quality OpenGL-based graphics• Color or B/W vector, contour, 3D surface & particle

plots• Moving history & probe data• Probe data for fluid structure interaction/thermal stress

evolution• Force & moment computations• Animation output• PostScript, JPEG & Bitmap output• Streamlines• Flow tracers

C O U P L I N G W I T H O T H E R P R O G R A M S• Geometry input from Stereolithography (STL) files –

binary or ASCII• Direct interfaces with EnSight®, FieldView® & Tecplot®

visualization software• PLOT3D output• Neutral file output• Extensive customization possibilities• Topographic data input• Solid Properties Materials Database

F E A T U R E S

C H E M I S T R Y M O D E L S

D I S C R E T E P A R T I C L E M O D E L S

T U R B U L E N C E M O D E L S

• Stiff equation solver for chemical rate equations• Stationary or advected species

• Massless marker particles• Mass particles of variable size/mass• Linear & quadratic fluid-dynamic drag• Monte-Carlo diffusion• Particle-Fluid momentum coupling• Coefficient of restitution or sticky

particles• Point or volumetric particle sources • Charged particles• Probe particles

• Two-equation κ-ε model• Two-equation κ-ω• RNG model• Large eddy simulation

T W O - P H A S E & T W O - C O M P O N E N T M O D E L S• Liquid/liquid & gas/liquid interfaces• Variable density mixtures• One compressible fluid with a dispersed incompressible

component• Drift flux• Two-component, vapor/non-condensable gases• Phase transformations for gas-liquid &

liquid-solid• Adiabatic bubbles• Bubbles with phase change• Continuum fluid with discrete particles• Scalar transport• Homogeneous bubbles

P A R A L L E L I Z A T I O N C O N T R O L S• Hybrid MPI-OpenMP parallelization• Automatic Decomposition Tool (ADT) for static load

balancing• Directional Decomposition for ADT• Dynamic thread adjustment for dynamic load

balancing

S U P P O R T E D P L A T F O R M SFLOW-3D/MP runs on both Workstations and clusters running 64-bit Redhat Enterprise Linux (5 & 6) or SUSE 11, a network interconnect such as Gigabit Ethernet, or Infiniband and a large shared NFS disk accessible from all nodes in cluster. FLOW-3D/MP supports Intel® MPI, which is provided as a part of the installation.

H A R D W A R E R E Q U I R E M E N T SThe hardware requirements to run FLOW-3D/MP depend on the size of the computational grid and complexity of physical models. We recommend compute nodes with dual CPU sockets of Intel Xeon E5 or E7 family, 4 GB of memory per core, and Infiniband hardware for fast interconnect communications. Contact Flow Science at sales@flow3d.com for hardware recommendations.

“Our 5-6 day simulations became 15-18 hour simulations using FLOW-3D/MP running on our cluster with Infiniband interconnect. Decreased simulation time allows us to investigate more design options and additional physics/phenomenological complexity.”

-Dr. Justin Crapps and Dr. Jack Galloway,Los Alamos National Labs

H P C B E N C H M A R K S

W a t e r & E n v i r o n m e n t a lHydraulic JumpIn this simulation, the hydraulic jump and the overall flow over a spillway were studied.Mesh: 14.6 million cellsPhysical Models: Free-surface tracking, gravity, air entrainment, and RNG turbulence model with dynamically computed maximum turbulent mixing lengthNumerical Models: GMRES

M e t a l C a s t i n gEngine Block CastingIn this simulation, the gravity casting of an engine block was studied.Mesh: 3.6 million cellsPhysical models: Free-surface tracking, gravity, heat transfer, solidification, and viscous laminar flowNumerical Models: GMRES

A e r o s p a c e

M i c r o f l u i d i c sInk Drop in a Printer NozzleIn this simulation, the formation and discharge of an ink drop in a printer nozzle was studied.Mesh: 2.0 million cellsPhysical models: Free-surface tracking, laminar viscosity, and surface tensionNumerical Models: GMRES

Sloshing in an Aircraft Fuel TankIn this simulation, the fuel sloshing in an F-16 aircraft fuel tank at various flight conditions was studied.Mesh: 0.7 million cellsPhysical models: Free-surface tracking, non-inertial reference frame, gravity, electric potential, and RNG turbulence model with dynamically computed maximum turbulent mixing lengthNumerical Models: Implicit advection, GMRES, split Lagrangian VOF

B e s t C a s e S c e n a r i oLid Driven CavityThe standard lid driven cavity problem was simulated to demonstrate the scaling potential of FLOW-3D/MP. This is a fully filled, perfectly load balanced simulation which is used to validate standard CFD codes.Mesh: 10.0 million cellsPhysical models: Viscosity and RNG turbulence.Numerical Models: GMRES

Performance analysis of FLOW-3D/MP up to 256 cores for some of the typical applications of the software, namely water & environmental, metal casting, microfluidics, and aerospace is shown. The Performance Metric used for the analysis is defined as the total number of times a given simulation can be run in a single day (24 hours). The benchmarks were run on nodes with dual Intel Xeon E5-2670 processors (total of 16 cores per node) connected by Infiniband interconnects of up to 40 Gbps.

FLOW-3D/MP on POD is a cloud computing solution offered by Flow Science. This pay-per-use service allows you to expand your available software and hardware resources to thousands of computational cores.

FLOW-3D/MP is conveniently installed on Penguin Computing on Demand (POD) for peak times in your design and analysis cycle. Run that very large simulation that has been simply impossible for the desktop, or this time, simultaneously run all the simulations for your parametric study or design of experiments (DOE). In all cases, you only pay for what you use. For more information contact hpc@flow3d.com.

P O S T - P R O C E S S I N G W I T H F L O W S I G H T T M

FlowSight is a state-of-the-art post-processing tool based on the industry leading Ensight®, which has been customized for FLOW-3D/MP. Its capabilites include:

• Multiple iso-surfaces• 2D clips with FAVORTM geometry• Animated streamlines• Multiple viewpoints of simulation results • Simultaneous view of FSI and fluid flow

results• Extensive annotation capabilites• Read/plot data from external sources• Interactive queries• Texture mapping• 3D stereo and head tracking• Moving viewpoints• Volume rendering• Flipbook• Portable results

Transformer room thermal analysis using FLOW-3D/MP and post-processing with FlowSightTM.

S U P P O R T

T R A I N I N G

A variety of technical support packages are available to streamline your modeling process. Flow Science’s support staff is comprised of engineers with industry experience who understand the needs and problems facing users in competitive professional environments. Flow Science prides itself on offering timely and courteous support from our expert CFD engineers.

Flow Science offers comprehensive FLOW-3D training classes in Santa Fe, New Mexico. Classes provide attendees with a solid understanding of the software and hands-on experience solving relevant problems. Classes may be combined with specific project consultations when deadlines demand fast results. Existing and new users, as well as those interested in evaluating the software, are invited to attend.

“I wanted to thank you for all your support during the FLOW-3D training, particularly during the individual consultation session. Your willingness to assist in developing my application is really appreciated. Please extend my thanks to all at Flow Science for an extremely well-delivered training course.”

Juan A. Gonzalez-Castro, Chief Consulting Engineer, SFWMD, Operations and Hydro Data Management Division

T H E C O M P A N Y

Flow Science was founded in 1980 by Dr. C. W. (Tony) Hirt, one of the principals in pioneering the “Volume-of-Fluid” or VOF method while working at the Los Alamos National Lab. FLOW-3D is a complete multi-physics package with significant modeling capabilities including fluid-structure interaction, 6-DoF moving objects, and multiphase flows.

Flow Science supports a stellar customer base of commercial, academic, and government users around the globe who use FLOW-3D to improve the world on a daily basis. We take care of these users directly, and through a high-quality channel of affiliated companies (in Japan, China, and Germany) and independent partners.

FLOW-3D and TruVOF are registered trademarks in the US and other countries.

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Improving the world through accurate flow modeling

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