Spring 2022
Prof. Sandip Kumar Saha
Author: Sanskar Maddi
Pre-requisite courses: AE 225, Heat Transfer (not a hard prereq)
Pre-requisite skills: Basic fluids stuff and coding in any language (MATLAB/Python)
Course Content: Review of conservation equations, lumped parameter approach leading to non-linear equations, numerical solutions of non-linear equation. Concept of round off error, overflow, propagation of error. Problems leading to system of linear equations. Techniques for solving system of linear equations (direct and iterative). Scaling and nondimensionalisation. Linear and non linear regression techniques to correlate experimental data. Numerical Integration, calculation of shape factors. Thermal and fluid problems leading to ODE. Initial, Boundary and Eigen value problems. Solutions of ODE using marching and finite difference methods. Characterization of partial differential equations, Numerical solutions of elliptic, parabolic and hyperbolic equations encountered in heat transfer and fluid flow.
Motivation to take up the course: For people intrested in Computational fluids research , a basic CFD course is a must. And a CFD course covers most stuff required to progress forward.
Course Evaluation Structure:
- Assignments x4 = 45%
- one quiz - 5%
- Midsem and endsem rest.
Quizzes/Midsem/Endsem papers Difficulty: 3/5
Assignments/Project Difficulty: 4/5
Info about Projects/Assignments: Assignemnts are based on examples related to the concepts covered like FEM, FDM, FVM. Coding in any language is a part of the assignment.
Professor’s Teaching Style: Very chill, the prof taught slowly but didnt miss out content.
References OR online resources: None
Should you do this course?: Whoever has interest in fluids or just wants to explore aero/mech. Suitable for 5th sem onwards.