In the Multi Physics group you can read about your colleagues’ projects and contact them through the forums. Below are our featured computational chemistry projects on HPC as a service; 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 2: Simulation of a Multi Resonant Antenna System Using CST Microwave Studio

simulation-multi-resonant-antenna-CST-microwave-studio

Advances in hardware and software have enabled the end-user to simulate the complete RF-portion of the involved antenna system. Simulation of the full system is still computationally intensive although there are parallelization and scaleout techniques that can be applied depending on the particular “solver” method being used in the simulation.

Resources used by the team

• CST Distributed Computing System
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Team Members

Dr.Nicolas FreytagDr.Nicolas Freytag
Dr.Felix WolfheimerDr.Felix Wolfheimer
Chris DagdigianChris Dagdigian

other members

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 30: Coupled Fluid Dynamics and Heat Transfer Simulations

team-30b

In many engineering problems fluid dynamics is coupled with heat transfer and many other multiphysics scenarios. The simulation of such problems in real cases produces large numerical models to be solved, so that big computational power is required in order for simulation cycles to be affordable. For SME industrial companies in particular it is hard to implement this kind of technology in-house, because of its investment cost and the IT specialization needed.

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Team Members

Lluis-BiscarriL Biscarri
Pierre-LafortunePierre Lafortune
Wibke-SudholtWiblce Sudholt

and 3 other members

Team 36: Advanced Combustion Modeling for Diesel Engines

diesel-engines

Modeling combustion in Diesel engines with CFD is challenging. The physical phenomena occurring in the short combustion cycle are not fully understood. This especially applies to the liquid spray injection, the auto-ignition and flame development and formation of undesired emissions like NOx, CO and soot.

A model designed to address these types of challenging cases where combustion initiating chemistry plays a large role has been implemented in ANSYS Fluent and was validated.

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Team Members

Ferry-TapFerry Tap
Wim-SlagterWim Slagter
mystery-manMatt Jacobs

other members

Team 44: CFD Simulation of Drifting Snow

Team44

Simulation of drifting snow for the purposes of predicting the redistribution of accumulated snow by the wind around arbitrary structures. Such computations can be used to determine the snow load design parameters of rooftops, which are not properly addressed by building codes at the present.

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Team Members

Ziad BoutaniosZiad Boutanios
San Diego Supercomputer CenterSan Diego
Supercomputer
Center
Koos HuijssenKoos Huijssen

other members

Team 52: High-Resolution Computer Simulations of Blow-off in Combustion Systems

combustion

The undesired blow-off of turbulent flames in combustion devices can be a very serious safety hazard. Hence, it is of interest to study how flames blow off. Simulations offer an attractive way to do this, however, due to the multi-scale nature of turbulent flames, and the fact that the simulations are unsteady, these simulations require significant computer resources.

In this project, a canonical test problem of a turbulent premixed flame is simulated with OpenFOAM.

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Team Members

Ferry-TapFerry Tap
mystery-manEsteban Gonzales
Marc-LevrierMarc Levrier

other members

Team 54: Analysis of a Pool in a Desalinization Plant

team54

Many areas in the world have no available fresh water even though they are located in coastal areas. As a result, 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 63: CFD Simulation of Drifting Snow

team63

This project was to conduct realistic simulation of snow drift requires a 3D two-phase fully-coupled CFD model in order to assess the feasibility and cost of running a typical (but low-end) case on an external HPC-on-demand resource, allowing extrapolation of the cost of high-end cases.
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Team Members

Ziad Boutanios, Principal Engineer, Binkz Inc.,Ziad Boutanios,
Binkz Inc.
ESIESI
Gompute Inc.Gompute Inc.

other members

 

 

Coming Soon More Multi Physics Team Projects:

Team 65: Large-scale and high-resolution weather and climate prediction
Team 85: Combustion simulations of power plant equipment
Team 87: Fluid Structure Interaction in the Cloud
Team 94: Chiyoda application with ANSYS in the Fujitsu Technical Cloud

— Create or Join a TeamSee More Teams