INTRODUCTION TO COMPUTATIONAL FLUID DYNAMICS USING OPENFOAM
November 12, 2019
The High-Performance Computing Laboratory of the Earth Observation Research and Innovation Center (EORIC)-UENR invites all and sundry especially professionals to a training program on Introduction to Computational Fluid Dynamics (CFD). CFD involves the systematic application of computing systems and computational solution techniques to mathematical models formulated to describe and simulate fluid dynamic and heat phenomena. CFD is currently being used to address challenges in climate change, weather forecasting, large dataset manipulation and analysis, wastewater treatment, flooding and urban diffuse pollution from stormwater runoff and other wet-weather-induced flow sources, manufacturing, health, sports, aeronautics, hydropower generation etc. The training will employ open-source tools such as OpenFOAM, cfMesh, Paraview etc.
Tools: OpenFOAM, ParaView and cfMesh
What you will learn
> Brief introduction to CFD
> Introduction to basic Linux commands and environment
> Installation and running of OpenFOAM
> Introduction to OpenFOAM
> Mesh generation and manipulation
> Hands-on simulations using test cases
> Post-processing of CFD results
It is expected that participants will finish the training with the requisite skill and knowledge to meet the challenges in the CFD world.
All training materials will be provided.
No prior knowledge of programming and statistical data analysis is required. Personal Laptop is required.
Who this course is for:
Beginners, Academics, Students (Undergraduate and Postgraduate), engineers and other professionals who are keen to explore the use of open-source tools to solve fluid dynamics problems.
Date, Venue, Fee
Date: Thursday, 6th February 2020 to Friday, 7th February 2020
Time: Thursday: 10 am – 5 pm Friday: 10am – 3 pm
Venue: University of Energy & Natural Resources
Course Fee: The total cost of training is GHS 250 for Staff & Students and GHS 300 for Professionals to cover registration fees, lunch and a certificate.
Deadline for Registration: Friday, 31st January 2020