302049: Artificial Intelligence & Machine Learning

Unit 1 Introduction to AI & ML 06 Hrs.
History of AI, Comparison of AI with Data Science, Need of AI in Mechanical Engineering,
Introduction to Machine Learning. Basics: Reasoning, problem solving, Knowledge representation,
Planning, Learning, Perception, Motion and manipulation.

Unit 2 Feature Extraction and Selection 08 Hrs.
Feature extraction: Statistical features, Principal Component Analysis.
Feature selection: Ranking, Decision tree - Entropy reduction and information gain, Exhaustive,
best first, Greedy forward & backward, Applications of feature extraction and selection algorithms
in Mechanical Engineering.

Unit 3 Classification & Regression 08 Hrs.
Classification: Decision tree, Random forest, Naive Bayes, Support vector machine.
Regression: Logistic Regression, Support Vector Regression. Regression trees: Decision tree,
random forest, K-Means, K-Nearest Neighbor (KNN). Applications of classification and regression
algorithms in Mechanical Engineering.

Unit 4 Development of ML Model 07 Hrs.
Problem identification: classification, clustering, regression, ranking. Steps in ML modeling, Data
Collection, Data pre-processing, Model Selection, Model training (Training, Testing, K-fold Cross
Validation), Model evaluation (understanding and interpretation of confusion matrix, Accuracy,
Precision, Recall, True positive, false positive etc.), Hyper parameter Tuning, Predictions.
Unit 5 Reinforced and Deep Learning 08 Hrs.
Characteristics of reinforced learning; Algorithms: Value Based, Policy Based, Model Based;
Positive vs Negative Reinforced Learning; Models: Markov Decision Process, Q Learning.
Characteristics of Deep Learning, Artificial Neural Network, Convolution Neural Network.
Application of Reinforced and Deep Learning in Mechanical Engineering.
Unit 6 Applications 08 Hrs.
Human Machine Interaction, Predictive Maintenance and Health Management, Fault Detection,
Dynamic System Order Reduction, Image based part classification, Process Optimization, Material
Inspection, Tuning of control algorithms.

Books and other resources

Text Books:
1. Deisenroth, Faisal, Ong, Mathematics for Machine Learning, Cambridge University Press,
2020.
2. B Joshi, Machine Learning and Artificial Intelligence, Springer, 2020.
3. Parag Kulkarni and Prachi Joshi, “Artificial Intelligence – Building Intelligent Systems”,
PHI learning Pvt. Ltd., ISBN – 978-81-203-5046-5, 2015
4. Stuart Russell and Peter Norvig (1995), “Artificial Intelligence: A Modern Approach,” Third
edition, Pearson, 2003.
References Books:
1. Solanki, Kumar, Nayyar, Emerging Trends and Applications of Machine Learning, IGI
Global, 2018.
2. Mohri, Rostamizdeh, Talwalkar, Foundations of Machine Learning, MIT Press, 2018.
3. Kumar, Zindani, Davim, Artificial Intelligence in Mechanical and Industrial Engineering,
CRC Press, 2021.
4. Zsolt Nagy - Artificial Intelligence and Machine Learning Fundamentals-Apress (2018)
5. Artificial Intelligence by Elaine Rich, Kevin Knight and Nair, TMH

302050: Computer Aided Engineering

Unit 1 Elemental Properties 07 Hrs.
Introduction to Computer Aided Engineering (CAE), Use of CAE in Product development,
Discretization methods – Finite Element Method (FEM), Finite Difference Method (FDM) and
Finite Volume Method (FVM), CAE Tools- Pre-processor, Solver and Post-Processor.
Element Shapes – 1D, 2D and 3D elements, Nodal Unknowns and field variables, Coordinate
Systems, Shape Functions- linear, quadratic and cubic, Convergence Requirements of Shape
Functions, Derivation of Polynomial Shape Functions using coordinate systems for Bar, Beam,
Triangular, and rectangular elements.

Unit 2 Meshing Techniques 06 Hrs.
Discretization of a Structure, 1D, 2D and 3D element Meshing, Element selection criteria, Refining
Mesh, Effect of mesh density in critical region, Use of Symmetry.
Element Quality Criterion:-Jacobian, Aspect ratio, Warpage, Minimum and Maximum angles,
Average element size, Minimum Length, skewness, Tetra Collapse etc., Higher Order Element vs
Mesh Refinement, Geometry Associate Mesh, Mesh quality, Bolted and welded joints
representation, Mesh independent test.
Unit 3 1D Finite Element Analysis 08 Hrs.
Consistent Unit System, Introduction to approaches used in Finite Element Analysis ( FEA) such as
direct approach and energy approach
Bar and Truss Element - Element stiffness matrix, Assembling stiffness Equation, Load vector,
stress and reaction forces calculations.
Temperature effect on Bar Element- Calculation due to uniform temperature change, Stress and
reaction forces calculations.
Unit 4 2D Finite Element Analysis 08 Hrs.
Plane Stress-Strain, axi-symmetric problems in 2D elasticity.
Constant Strain Triangle (CST) - Element Stiffness matrix, Assembling stiffness equation, Load vector,
Stress and reaction forces calculations.
Post Processing Techniques – Check and validate accuracy of results, Average and Un-average
stresses, and special tricks for Post Processing. Interpretation of results and design modifications, CAE
reports.
Unit 5 Non-Linear and Dynamic Analysis 08 Hrs.
Non-Linear Analysis: Introduction to Nonlinear Problems, Comparison of Linear and Nonlinear
analysis, Types of Nonlinearities, Stress-strain measures for Nonlinear analysis, Analysis of
Geometric, Material Nonlinearity, Solution Techniques for Nonlinear analysis, Newton Raphson
Method, Essential steps in Nonlinear analysis.
Dynamic Analysis: Introduction to Dynamic Analysis, Comparison of Static and Dynamic analysis,
Time domain and frequency domain, Types of loading, Simple Harmonic motion, Free vibration,
Boundary conditions of free vibration, Solution.
Unit 6 Applications of Computer Aided Engineering 08 Hrs.
Computational Fluid Dynamics (CFD): Introduction, Three dimensions of Fluid Dynamics,
Equilibrium Equation for a fluid, Conservation form of Fluid flow equation, Integral form of the
Conservation Laws.
Injection moulding of Plastics: Simplification of Mould Geometry for FEA, Material Model for
Mould FEA, Boundary Conditions for Mould FEA, Loading of Mould in FEA, Results Analysis.
Simulation for Manufacturing Processes like Casting and Sheet Metal Applications:
Introduction and workflow of Casting Simulation Software and Sheet Metal Applications.
Durability Analysis: Durability, Reliability and Fatigue, FEA bases fatigue analysis viz: Stress-Life
approach (S-N method) and Strain-Life approach (E-N method).
Crash Analysis: Introduction, Explicit time integration schemes, implicit integration schemes.
Noise Vibration and Harshness (NVH) Analysis: NVH Concepts, Terminology, FEA for
structural Dynamics, FEA for Acoustics.

Books and other resources

Text Books:
1. Gokhale N. S., Deshpande S. S., Bedekar S. V. and Thite A. N., Practical Finite Element
Analysis, Finite to Infinite, Pune, 1st Edition, 2008.
2. S. S. Bhavikatti, Finite Element Analysis, New Age International Publishers, Third Edition,
2015.
3. Chandrupatla T. R. and Belegunda A. D., Introduction to Finite Elements in Engineering,
Prentice Hall India, 2002.
4. G Lakshmi Narasaiah, Finite Element Analysis, BS Publications / BSP Books, 2nd
edition, 2020.
5. J. N. Reddy, An Introduction to the Finite Element Method, Mcgraw Hill Series in
Mechanical, 2005.
6. P. Seshu, Text book of Finite Element Analysis, PHI Learning Private Limited, New Delhi,
10th Printing, 2012.
References Books:
1. K. J. Bathe, Finite Element Procedure, Prentice-Hall of India (P) Ltd., New Delhi, 1996.
2. Cook R. D., Finite Element Modeling for Stress Analysis, John Wiley and Sons Inc, 1995.
3. G.R. Liu S. S. Quek, The Finite Element Method- A Practical Course, Butterworth
Heinemann, 2013.
4. Fagan M. J., Finite Element Analysis Theory and Practice, Harlow Pearson/Prentice Hall,
2012.
5. S. Moaveni, Finite element analysis, theory and application with Ansys, Pearson, Third
Edition, 2011.
6. David V. Hutton, Fundamental of Finite Element Analysis, Tata McGraw-Hill, 2017.
7. Mukhopadhyay M and Sheikh A. H., Matrix and Finite Element Analyses of Structures, Ane
Books Pvt. Ltd., 2009
8. Daryl L. Logan, A First Course in the Finite Element Method, Fourth Edition, Thomson
Canada Limited, 2007.
9. O.C. Zienkiewicz, The Finite Element Method: Its Basis and Fundamentals, Sixth Edition,
Elsevier Butterworth-Heinemann, 2005.