Machine Learning for Advanced Manufacturing

Nishant Ranjan is working as Assistant Professor at University Centre for Research and Development of Chandigarh University. He has won CII MILCA AWARD in the field of Additive Manufacturing in 2022. He has completed his PhD in Mechanical engineering from Punjabi University, Patiala, India. Fused deposition-modelling, extrusion, thermoplastic polymers, composition of thermoplastic polymers, natural and synthetic biopolymers, scaffolds printing, 3D printing technology, thermal, mechanical, morphological, and chemical properties of thermoplastic polymers, biocompatible and biodegradable fillers, reinforcement of materials are the main focus area of Nishant Ranjan. Rashi Tyagi is currently working as an Assistant Professor in University centre for Research and Development at Chandigarh University. Dr. Tyagi has won CII MILCA AWARD in the field of electrical discharge coating in 2022. Dr. Tyagi has completed his PhD in Mechanical engineering from Indian Institute of Technology (Indian school of mines), Dhanbad, India. Her PhD work was focused on the surface modification by electrical discharge process for solid lubrication and enhanced tribological performance.Ranvijay Kumar is an assistant professor in University Centre for Research and Development, Chandigarh University. He has received PhD in Mechanical Engineering from Punjabi University, Patiala. Additive manufacturing, shape memory polymers, smart materials, friction-based welding techniques, advance materials processing, polymer matrix composite preparations, reinforced polymer composites for 3D printing, plastic solid waste management, thermosetting recycling and destructive testing of materials are the skills of Kumar.Ashutosh Tripathi is currently working as an Assistant Professor in University centre for Research and Development at Chandigarh University. He has worked in the field of composite preparation and simulation in 2022. He has completed his PhD in Mechanical engineering from Indian Institute of Technology (Indian school of mines), Dhanbad, India. His research work was focused on the acoustics properties of composite and its analytical prediction. He has completed his M.tech from IIT(ISM), Dhanbad, India. Amit Verma is an accomplished Associate Professor at the School of Computer Science & Engineering (CSE) and the University Research Department at Bahra University. With over 12 years of academic experience, He has made significant contributions to the field of Artificial Intelligence (AI), particularly focusing on its applications in agriculture. His current research revolves around the detection of plant leaf diseases using advanced image processing and deep learning techniques.

• ContentsPreface......................................................................................................................viiEditors.................................................................................................................... viiiContributors..............................................................................................................xiAcknowledgments...................................................................................................xivChapter 1 Introduction to Machine Learning in Advanced Manufacturing.........1Nishant Ranjan, Vinay Kumar, and ShivaniChapter 2 Overview of Different Machine Learning Techniques andAlgorithms for Data Acquisition and Pre-processing inAdvanced Manufacturing................................................................... 17Amit Vajpayee, Abhineet Anand, Ankit Sharma, PalakpreetKaur, Jaspreet Singh, and Amit VermaChapter 3 Recent Advancement of Machine Learning in Machining/Joining/Forming Processes................................................................38Tanmay Tiwari, Aswani Kumar Singh, Chandra SekharRakurty, Rashi Tyagi, and Gopal NadkarniChapter 4 Machine Learning for Product Design and Customization inAdvanced Manufacturing Practices...................................................63Vinay Kumar and Nishant RanjanChapter 5 Machine Learning in Additive Manufacturing..................................77Rajnish Prakash Modanwal, Aswani Kumar Singh, R. DurgaPrasad Reddy, Bhavesh Chaudhary, Varun Sharma, RashiTyagi, Dan Sathiaraj, and Jayaprakash MurugesanChapter 6 Application of Machine Learning Beyond Manufacturing................94Abhishek Bhattacharjee, Ajay Kumar Badhan, Raman Kumar,Harpreet Kaur Channi, Rajender Kumar, andKulwinder Singh MannChapter 7 Real-Time Monitoring and Control Using Machine Learning inIndustry ............................................................................................ 114Harpreet Kaur Channi, Raman Kumar, Swapandeep Kaur,Sehijpal Singh, Abhishek Bhattacharjee, and Rajender KumarChapter 8 Emerging Applications of Machine Learning in theManufacturing Sector....................................................................... 139Suraj Ghising, Ashish Pal Singh, Rashi Tyagi,and Sujoy Kumar DeyChapter 9 Prediction of Drilling Process Parameters While MachiningArhar Composite Using Random Forest Machine LearningAlgorithm......................................................................................... 153Binduprathyusha Kodali and Aruna KotlapatiChapter 10 Beyond Manufacturing: The Expansion of Machine LearningApplications...................................................................................... 175Jaspreet Singh, Anshu Mehta, and Amit VermaIndex ...................................................................................................................... 187