Publication type: Course material
Title: Tutorial on OpenFOAM & kaleidosim : EVAL function to rotate a wind channel
Authors: Boiger, Gernot Kurt
Sharman, Darren
Michel Rivero, Jhimy
Lienhard, Viktor
et. al: No
Issue Date: Sep-2021
Publisher / Ed. Institution: ZHAW School of Engineering, ICP Institute of Computational Physics
Language: English
Subjects: OpenFOAM; Kaleidosim; EVAL; v1912; Parameter study; Simulation; CFD; Turbulence
Subject (DDC): 005: Computer programming, programs and data
530: Physics
Abstract: This is a tutorial video in Prof. Gernot Boiger's series on OpenFOAM and the cloud computing platform Kaleidosim. Here the focus lies on the 'EVAL' functionality within OpenFOAM v1912 (and later). Using the 'EVAL' function the user can prescribe (dynamic) boundary conditions from inside any OpenFOAM dict, based on a multitude of mathematical expressions. In this movie the 'EVAL' function is demonstrated based on an example surrounding the classical simpleFoam Motorbike tutorial case with a 'twist'. The 'twist' is about conducting a full #aerodynamic #CFD study of the #Motorbike frame, involving 360 individual simpleFoam #simulation runs simultaneously conducted within Kaleidosim #cloud platform. Thereby each run differs in that onset-airflow velocity vector as well as the entire bounding box of the simulation vicinity (wind channel) are rotated degree after degree (step size 1°) around the Motorbike, yielding 360 simulation cases. The 'EVAL' function performs the math to rotate the bounding box based on a 2D rotation matrix with respect to the angle-of-attack, while Kaleidosim's Kaleidoscope Feature conducts a parameter-study varying the angle-of-attack step-by-step. Furthermore the video contains a demonstration of how, thanks to Kaleidosim's MSCC Massive Simultaneous Cloud Computing capacity, the entire study can be completed in no more than 25min. Find links to related tutorial videos here: 1.) OpenFoam & Kaleidosim: Creating Python Macro for Paraview based Post-Processing in the Cloud 2.) OpenFOAM & Kaleidosim: Introducing the Kaleidoscope Feature 3.) Live Demo of Speeding up OpenFoam Parameter Study by Factor 50 4.) Compile and Run Custom OpenFoam Solvers in the Cloud using Kaleidosim
Further description: YouTube
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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