Workshops
Workshops
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Fundamentals of Sensors, Actuators, Interfacing Circuits & IoT Integration for Industrial Automation
(Lectures by Prof. Banibrata Mukherjee, Centre for Interdisciplinary and Convergent Technologies, IIT Kharagpur )
Sensors and interfacing aspects
Actuators and interfacing aspects
Real world application and hands on demonstration
Principles of Machine Design: Materials, Elements and Failure
Principles of Machine Design: Materials, Elements and Failure
(Lectures by Prof. Vikranth Racherla, Dept. of Mechanical Engineering, IIT Kharagpur )
Material selection
Design of machine elements
Failure analysis
Manufacturing and Mechanics of Composites
Manufacturing and Mechanics of Composites
(Lectures by Prof. Nilanjan Das Chakladar, Prof. Atul Jain and Prof. Aghna Mukherjee, Dept. of Mechanical Engineering, IIT Kharagpur )
Manufacturing of composites
Micromechanics
Mesomechanics
Audio and Image Analysis Using Python
Audio and Image Analysis Using Python
(Lectures by Prof. Aditya Bandopadhyay, Dept. of Mechanical Engineering, IIT Kharagpur )
Basics of algorithms for analyzing data
Audio analysis
Image analysis
Solving Real-World Problems with Linear and Integer Programming
Solving Real-World Problems with Linear and Integer Programming
(Lectures by Prof. Akhilesh Kumar, Dept. of Industrial & Systems Engineering, IIT Kharagpur )
Introduction to Operations Research (OR)
Linear and Integer programming formulations and solutions algorithms
Case study on Railways scheduling using MS Excel solver and Python
Integration of Finite Element and Multibody Dynamics Analyses for Accurate Failure Analyses of Railway Machine Elements at High Speeds
Integration of Finite Element and Multibody Dynamics Analyses for Accurate Failure Analyses of Railway Machine Elements at High Speeds
(Lectures by Prof. Vikranth Racherla, Dept. of Mechanical Engineering, IIT Kharagpur)
Effect of track irregularities & speed on dynamics
Parametric analysis in ABAQUS
Introduction to SIMPACK
Optimization Using Genetic Algorithm and Machine Learning Using Neural Networks
Optimization Using Genetic Algorithm and Machine Learning Using Neural Networks
(Lectures by Prof. Vikranth Racherla, Dept. of Mechanical Engineering, IIT Kharagpur)
Basics of genetic algorithms, case studies, Python-based implementation
Basics of neural networks, activation functions, backpropagation, supervised machine learning
Case study on prediction of rail-wheel contact forces using deep neural network implemented using Python
You can access workshop materials by clicking on the respective workshop links.
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