Syllabus

Module-I
Introduction to MATLAB, methods of generating random number, Graph plotting, Function definition.

Module II
Design of Experiments (DOE), Analysis of Variance (ANOVA), Full factorial, Response surface methodology (RSM), Taguchi method, Multi response optimization, Project

Module III
Problem formulation, data collection, factor screening, considering the experimental design, output analysis and interpretation validation.

Module IV
Comparison and selection of simulation softwares, study of any one simulation software (Ansys/COMSOL./ABAQUS/DEFORM 3D/MD..), Structural/thermal/process modelling using software

To know about fundamentals of MATLAB tool and solving problems.

Learn and apply concept of design of experiments (DOE) to mechanical system problems.

Learn modeling techniques to model and to simulate various systems.

To perform engineering simulation using softwares

1. Able to program curve fitting, numerical differentiation and integration, solution of linear equations in MATLAB

2. Understand various Design of experiment (DOE) techniques, ANOVA, Regression analysis related to process parameter optimization

3. Apply design of experiments (DOE) to check the effects of process parameters using DOE softwares.

4. Simulate and interepret simulation results and develop optimized solution for engineering applications

Amos Gilat, MATLAB: An Introduction with Applications, John Wiley , 4E, reprinted 2020

DC MONTGOMERY, Design and Analysis of Experiments, John Wiley , 10E, reprinted 2020

A.M. Law, Simulation Modeling and Analysis, McGraw Hill India.

Rudra Pratap, Getting Started with MATLAB, Oxford