The Roles of CFD in Enhancing Teaching and Learning Process and its Potentials in Solving Real Engineering Issues

Norzelawati Asmuin; A. Ismail

doi:10.4028/www.scientific.net/DDF.348.273

Paper Titles

Energy Transfer and Fluid Flow around a Massive Astrophysical Object
p.189

Experiments on Inverse Method to Illumination by Optimization Technique IMIbyOPTIM with Fixed Light Source Power
p.216

Intermolecular Study of Adansonia Digitata (AnD) Binary Liquid Mixture
p.226

Numerical Study of the Effect of the Relative Depth on the Overtopping Wave Energy Converters According to Constructal Design
p.232

Constructal Design of Y-Shaped Conductive Pathways for Cooling a Heat-Generating Body
p.245

Evaluation of the Structural Integrity of the Jet Pumps of a Boiling Water Reactor under Hydrodynamic Loading
p.261

The Roles of CFD in Enhancing Teaching and Learning Process and its Potentials in Solving Real Engineering Issues
p.273

Numerical Investigation of the Viscous Dissipation Term on 2D Heat Transfer
p.279

An Efficient Technique of Linearization towards Fourth Order Finite Differences for Numerical Solution of the 1D Burgers Equation
p.285

HomeDefect and Diffusion ForumDefect and Diffusion Forum Vol. 348The Roles of CFD in Enhancing Teaching and...

The Roles of CFD in Enhancing Teaching and Learning Process and its Potentials in Solving Real Engineering Issues

Abstract:

Computational fluid dynamics (CFD) is able to enhance unseen problems using numerical methods and algorithms in solving fluid dynamics which is related to real engineering life. Implementations through experiments are very costly. However, due to constraint in space problem, time and money, CFD is economic for engineers, especially young employer in current trends of teaching and industries globally. This research is focusing on CFD education that contributes to solve real engineering issues. A few strategies are projected in CFD for teaching and learning by validation and comparison analysis. The performance of experimental validation are different from traditional experiments and testing. Some variables such as Reynolds number, turbulence kinetic energy, coefficient of variation and cavitations number are parameters which can be detected in a CFD approach. The results from CFD are validated by experiments or real world and by comparison with other software.

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Periodical:

Defect and Diffusion Forum (Volume 348)

Pages:

273-278

DOI:

https://doi.org/10.4028/www.scientific.net/DDF.348.273

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Online since:

January 2014

Authors:

Norzelawati Asmuin, A. Ismail

Keywords:

Computational Fluid Dynamics (CFD), Industry, Learning Process, Teaching

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References

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