National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : ME6372 : Computational Heat Transfer Laboratory { 0-0-3 / 2}

Subject Nature : Practical

Coordinator : Kishore Singh Patel

Syllabus

Module 1 :

The CFD simulations using the ANSYS-Fluent commercial software are performed in this lab class. Majorly, the syllabus covers grid independence test procedure and solving two and three-dimensional problems on conduction, convection, conjugate heat transfer such as fin, flow through the heated tube and duct, heat exchanger, conduction shape factor, laminar and turbulent flow, flow around obstacle, unsteady heat conduction. The elaborate list of experiments is as follows.

1. Basics of CFD and link those basics with the ANSYS terminology.
2. Convective heat transfer to the fluid flowing inside the pipe.
3. Conjugate heat transfer analyses in a pipe.
4. Validation of Fin temperature distributions and heat transfer rate with the analytical results.
5. Assessment of realistic fin performance by performing a realistic simulation of the fin and surrounding air medium.
6. Convective heat transfer analysis in a turbulent flow.
7. Heat exchanger performance analyses.
8. Viscous and thermal boundary layer analyses over the flat plate.
9. Transient heat transfer analysis.

Course Objective

1 .

To learn grid independence test procedure

2 .

To understand applying different boundary conditions

3 .

To learn numerical solution procedure for a variety of thermal problems

4 .

To learn post processing of case and data file

Course Outcome

1 .

At the end of the course, students should be able to,
1. Learn and be able to link the basics CFD with the simulation options given in the Ansys-Fluent software package.
2. Pre-analysis of a given problem and make scientific decisions regarding the geometry, grids, and solver model selections.
3. Create a complex geometry and a suitable mesh-based to capture the grid independence result accurately.
4. Solve different heat transfer problems independently by selecting suitable model(s) and parameters
5. Process the simulation outcome, extract data, and reproduce as per the desired format (line plot, contour plot, and write UDF for specific calculations.)

Essential Reading

1 .

Jiyuan Tu, Guan-Heng Yeoh, Chaoqun Liu, Computational Fluid Dynamics: A Practical Approach, Butterworth-Heinemann , 2020

2 .

Edx.org, A Hands-on Introduction to Engineering Simulations, Cornell University

Supplementary Reading

1 .

Ansys, ANSYS Fluent manuals, ansys.com