In the Fluid Flow group you can read about your colleagues’ projects and contact them through the forums. Below are our featured fluid flow projects; perhaps you will find some that are in your area of interest. If not, you can see a list of all of our projects or create your own using the buttons at the bottom of this page.

Team 5: Two-phase Flow Simulation of a Separation Column

two-phase-flow-simulation

This use case investigates the dynamics of a vapor-liquid compound in a distillation column with trays. Chemical reactions and phase transitions are not considered, instead the fluid dynamics is resolved with a high level of detail in order to predict properties of the column like the pressure drop, or the residence time of the liquid on a tray.

Challenges
The main challenge addressed in this use case is the need for computational power, as a consequence of the large mesh resolution. The need for a large mesh (close to 109 mesh nodes – an ambitious value in this field) stems from the complex physics of turbulent two-phase flow, and from the complex structure of fine droplet dispersions in the vapor. These difficulties are addressed, in the present case, with help of a highly efficient and scalable computational approach, mixing a so-called lattice Boltzmann method with a volume-of-fluid representation of the two-phase physics.
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Team Members

Felix MuggliFelix Muggli
Jonas LattJonas Latt
Marc LevrierMarc Levrier

Team 8: Flash Dryer Simulation with Hot Gas Used to Evaporate Water from a Solid

flash-dryer-simulation-in-the-cloud

CFD multiphase flow models are used to simulate a flash dryer. Increasing plant sizes in the cement and mineral industries mean that current designs need to be expanded to fulfill customers’ requests. The process is described by the Process Department and the structural geometry by the Mechanical Department – both departments come together using CFD tools that are part of end-user’s extensive CAE portfolio.
Currently, the multiphase flow model takes about five days for a realistic particle loading scenario on our local infrastructure (Intel Xeon X5667, 12M Cache, 3.06 GHz, 6.40 GT/s, 24 GB RAM). The differential equation solver of the Lagrangian particle tracking model requires several GBs of memory. ANSYS CFX 14 is used as the solver.
Simulations for this problem are made using 1.4 million cells, five species and a time step of one millisecond for a total time of two seconds. A cloud solution should allow the end-user to run the models faster to increase the turnover of sensitivity analyses and reducing time to customer implementation. It also would allow the end-user to focus on engineering aspects instead of using valuable time on IT and infrastructure problems.
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Team Members

Sam ZakrzewskiSam Zakrzewski
Wim SlagterWim Slagter
Marc LevrierMarc Levrier

other members

Team 9: Simulation of Flow in Irrigation Systems to Improve Product Reliability

simulation-of-flow-in-irrigation-systems

In the industry of residential and commercial irrigation products, product reliability is paramount – customers want their equipment to work every time with low maintenance over a long product lifetime. For engineers, this means designing affordable products that are rigorously tested before the device begins production. Irrigation equipment companies employ a large force of designers, researchers and engineers who use CAD packages to develop and manufacture the products, and CAE analysis programs to determine the products’ reliability, specifications and features.
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Team Members

Ron HawkinsRon Hawkins
Wim SlagterWim Slagter
Rick JamesRick James

other members

Team 19: Parallel Solver of Incompressible, 2D and 3D Navier-Stokes Equations, Using the Finite Volume Method

parallel-solver-navier-stokes

This team’s application used MPI to parallelize a solver of incompressible Navier-Stokes equations (both 2D and 3D) in rectangular domains, using Finite Volume Method.
In this application, pressure and velocity were linked by the Semi-Implicit Pressure Linked Equation – the “SIMPLE” algorithm. The resulting discretized equations were solved by a line-by-line Gauss-Seidel solver. End-user Pratanu Roy has developed this application on the IBM iDataplex HPC cluster, as a graduate student at Texas A&M University.
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Team Members

Pratanu RoyPratanu Roy
Geoffrey FoxGeoffrey Fox
Lyn GernerLyn Gerner

other members

Team 46: CAE Simulation of Water Flow Around a Ship Hulla

Team46

The goal of this project was to run CAE simulations of water flow around the hull of a ship much more quickly than was possible using available resources. Current simulations took a long time to compute, limiting the usefulness and usability of CAE for this problem.
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Team Members

Andrew Pechenyuk, DMTAndrew Pechenyuk,
DMT
Andrey Aksenov, TESISAndrey Aksenov,
TESIS
Jesus Lorenzana, FCSCLJesus Lorenzana,
FCSCL

other members

Team 53: Understanding Fluid Flow in Microchannels

team53

In this use case the end-user sought to construct a phase diagram of possible fluid flow behaviors to understand how input parameters affect the flow. Additionally, the end-user wanted to create a library of fluid flow patterns to enable analysis of their combinations.
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Team Members

Javier Diaz-MontesJavier Diaz-Montes
Baskar GanapathysubramanianBaskar
Ganapathysubramanian
Manish ParasharManish Parashar

other members

Team 54: Analysis of a Pool in a Desalinization Plant

team54

In recent years a completely new industry has been created to treat seawater and transform it into tap water. This water transformation requires that the water must be pumped into special equipment, which is very sensitive to cavitation. Therefore, a correct and precise water flow intake must be forecasted before building the installation. The CFD analysis of air-water applications using free surfaces modeling is a highly complex modelization. The computational mesh must correctly capture the fluid interface and the number of iterations required to obtain physically and numerically converged solution is very high. If both previous requirements are not matched, the forecasted solution will not even be close to the real world solution.
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Team Members

Juan EnriquezJuan Enriquez
ANSYS CFX & CEI Ensight GoldANSYS CFX &
CEI Ensight Gold
GomputeGompute

other members

Team 62: Cardiovascular Medical Device Simulations

team62

Our project investigates flow through a patient-specific blood vessel and represents a typical use case of CFD for cardiovascular flow.

Resources used by the team
Ciespace Software
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Team Members

Mike SingerMike Singer
Sanjay Choudhry/Ciespace CorporationSanjay Choudhry
Ciespace
Corporation
Oleh KhomaOleh Khoma

other members

Team 81: Simulation of Water Flow Around Self-Propelled Ship

team81

The goal of the project was to run CAE simulation of self-propelled ship with true geometrical model of the propeller.

Resources used by the team
• FlowVision FlowVision

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Team Members

Andrew Pechenyuk, DMTAndrew Pechenyuk,
DMT
Andrey Aksenov, TESISAndrey Aksenov,
TESIS
Jesus Lorenzana, FCSCLJesus Lorenzana,
FCSCL

other members

Coming Soon More Fluid Flow Team Projects:

Team 81: Simulation of Water Flow Around Self-propelled Ship
Team 88: Fluid flow in medical devices
Team 94: Chiyoda application with ANSYS in the Fujitsu Technical Cloud
Team 105: Dam break disaster simulation in the Cloud
Team 108: Simulation of Water Flow Around Self-propelled Ship
Team 111: Simulating cardiovascular flow past a medical device
Team 114: Simulating Water flow in a centrifugal pump.
Team 115: Simulate water flow and sedimentation around spillways of a dam
Team 117: Simulating complex interactions in Endovascular stent structure

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