Machine Learning for Advanced Manufacturing

This book presents the use of machine learning (ML) and artificial intelligence in advanced and new manufacturing processes, including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological properties of polymer-, metal-, and ceramic-based additive manufactured components. It details the various technologies available to fortify the machine learning aspects in the advanced manufacturing processes, focusing on multidisciplinary domains of science and technology.

Features:

• Establishes a relationship between ML and advanced manufacturing (AM) technology.
• Helps understand the challenges and opportunities of using ML in materials processing, selection, and manufacturing for different areas.
• Reviews the hybridization of techniques under ML for prediction and optimization for quality, productivity, and sustainability in manufacturing.
• Provides a comprehensive overview of the state-of-the-art, future directions, latest developments, and recent developments in ML for AM.
• Covers the basics of ML with implementation procedure and effectiveness
  details to provide a roadmap.

This book is aimed at researchers and graduate students in mechanical, manufacturing, and industrial engineering.

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. He has co-authored more than 30 research papers in science citation index journal, 1 book, 35 book chapters and presented 20 research paper in various International/National level conference.

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. She has completed her M. Tech from IIT(ISM), Dhanbad, India. She has published over 15 SCI articles in peer-reviewed international journals, conference proceedings and book chapters as a first author in the field of tribology of coatings. She is currently working on Tribology of fiber reinforce composite prepared by fused filament fabrication, Fused deposition-modelling, thermoplastic polymers, natural and synthetic composite.

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. He has won prestigious CII MILCA award 2020. He has co-authored more than 58 research papers in science citation indexed journals, 55 book chapters and has presented 20 research papers in various national/international level conferences.

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. He has published over 8 articles in peer-reviewed international journals, conference proceedings and book chapters as a first author in the field of coating, simulation, and acoustics

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. He is actively working as the Project Investigator for two DST-funded projects related to AI, where he is driving innovative solutions to address critical agricultural challenges, with a total funding of ₹59 Lakhs.He earned his Doctorate in 2024 with a thesis titled, ＂An Enhanced Feature-Based Classification Model for Plant Diseases Detection Using Deep Learning Techniques＂. A prolific researcher, He has published over 70 research articles in reputed journals and holds 3 patents, reflecting his dedication to advancing scientific knowledge and technological innovations in AI and agriculture