COMPUTATIONAL FLUID DYNAMICS (CFD) LAB

Lab Incharge: Dr. Ved Nath Mathur

Lab Technician: Mr. Piyush Motwani

Lab Overview:

The Computational Fluid Dynamics (CFD) Laboratory equips students with practical knowledge and hands-on experience in simulating fluid flow and heat transfer phenomena using numerical methods and CFD software tools. The lab is an extension of the theory course and helps bridge the gap between analytical understanding and real-world engineering applications.

Key soft tools and Equipment in the Lab:

  1. Computers – The lab consists of 25 i5 systems and 5 Workstation computers each equipped with the Ansys Student 2025 R1. Ansys Workbench is used to model and simulate problems. Students are taught CFD simulations using Ansys-Fluent.
  2. Printer – Enables students to print simulation drawings and graphs for evaluation and documentation.
  3. Projector – Facilitates instructional demonstrations and collaborative learning.
  4. Software:- Each system is equipped with: Ansys Student 2024 R2  Or Ansys Student 2025 R1, Jupyter for Python with scientific libraries (NumPy, Matplotlib)

Learning Objectives:

By the end of this course, students will be able to:

  1. Explain the fundamental principles of Computational Fluid Dynamics (CFD), including governing equations for fluid flow and heat transfer.

  2. Apply numerical methods such as finite difference and finite volume techniques to solve fluid flow problems, and analyze their stability and accuracy.

  3. Set up and simulate fluid flow problems using commercial CFD software (e.g., ANSYS, Jupyter) by defining geometry, meshing, boundary conditions, and solver settings.

  4. Validate CFD results by comparing them with analytical, empirical, or experimental data, and evaluate potential sources of numerical error.