Publication type: Course material
Title: Tutorial on OpenFOAM & kaleidosim : computational parameter study of 300 cases in 25 min with kaleidoscope feature
Authors: Boiger, Gernot Kurt
Sharman, Darren
Michel Rivero, Jhimy
Siyahhan, Bercan
Lienhard, Viktor
Boldrini, Marlon
et. al: No
Issue Date: Sep-2021
Publisher / Ed. Institution: ZHAW School of Engineering, ICP Institute of Computational Physics
Language: English
Subjects: OpenFOAM; Kaleidosim; Kaleidoscope; Parameter study; CFD; Simulation; Multipysics; Cloud computing; RAS; Turbulence modeling; MSCC
Subject (DDC): 005: Computer programming, programs and data
530: Physics
Abstract: This is the second video (see first one here: https://youtu.be/6T08Li7gVqE ) about introducing the Kaleidoscope Feature within the Kaleidosim cloud platform: Prof. G. Boiger of ZHAW/ICP uses OpenFOAM's Motorbike tutorial case in simpleFoam mode to demonstrate. This time a very large computational parameter study involving the RAS turbulence model parameters 'turbulent kinetic energy' and 'omega', is conducted based on just one single base case. The base case is uploaded to the cloud and multiplied within seconds to yield not less than 300 individual OpenFOAM simulation cases. All cases are then computed simultaneously in the cloud (MSCC Massive Simultaneous Cloud Computing) and the entire study is completed in only about 25min. Regarding post processing: Paraview screenshots are being automatically created per simulation run in the cloud using Paraview-Batch-Mode via a prepared #Python script that was uploaded along with the OpenFOAM case (for 'how to' see also: https://youtu.be/EzmkmrDnu0Y ). Finally (visualised) results can be selectively downloaded from the cloud using the Katana File Downloader function.
Further description: YouTube
URI: https://youtu.be/ALlzZhuXLTE
https://digitalcollection.zhaw.ch/handle/11475/23832
License (according to publishing contract): Not specified
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Published as part of the ZHAW project: GeoCloud – Simulation Software for Cloud-based Digital Microstructure Design of New Fuel Cell Materials
Appears in collections:Publikationen School of Engineering

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