This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.

Discusses conventional and non-conventional machining processes Presents emerging applications of additive manufacturing techniques Includes latest findings and applications of smart and advanced materials

Autorentext

Dr. Ranganath M. Singari is a Professor in the Department of Mechanical, Production & Industrial Engineering and heads the Department of Design, Delhi Technological University, India. He is a graduate in Industrial Production Engineering from Karnataka University. He completed his M.Tech in Computer Technology & Applications and Ph.D. from the Department of Production Engineering from University of Delhi, India. He has more than 60 international publications in conference and reputed journals. He is also a reviewer for reputed journals. Dr. Singari has organised several international conferences, seminars/workshops, industry-institute interactions and 6 FDP/SDP/STTP. He also serves as Chairman, Production Engineering, Skill India Programme, DTTE, Delhi. He is an expert member of several selection committees for technical, teaching and administrative positions. His research interest is materials, manufacturing, industrial management, production management, CAD/CAM, supply chain management, multi-criteria decision making and sustainable lean manufacturing. He has 25 years of research and teaching experience. Dr. Kaliyan Mathiyazhagan is currently working as an Associate Professor in the Department of Mechanical Engineering, Amity University, India. He pursued his Ph.D. from the Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu. He was also a visiting research fellow at the University of Southern Denmark. He has more than 60 international publications in reputed journals and one of his papers received the best paper award in NCAME 2019, NIT Delhi. Dr. K. Mathiyazhagan is an associate editor of Environment, Development and Sustainability. He is also an editorial member of more than 5 international journals. He has served as a guest editor for several special issues in international journals and is an active reviewer of more than thirty reputed international journals. His research interest is green supply chain management, sustainable supply chain management, multi-criteria decision making, third party logistic provider, sustainable lean manufacturing, public distribution system, and Lean Six Sigma. He has more than 10 years of research and teaching experience. Dr. Harish Kumar is currently working as an Assistant Professor at the National Institute of Technology, Delhi. He has more than 15 years of research and academic experience and has served as a scientist at different grade in CSIR - National Physical Laboratory, India (NPLI). He has been an active researcher in the area of mechanical measurement and metrology. He has worked as a guest researcher at the National Institute of Standards and Technology, USA in 2016. He has been instrumental in the ongoing redefinition of the kilogram in India. He has authored more than 70 publications in peer reviewed journals and conferences. He is an active reviewer of many reputed journals related to measurement, metrology and related areas. He has served as a guest editor of different peer reviewed journals.

Inhalt
A Review on the Fabrication of Surface Composites via Friction Stir Processing and its Modeling using ANN.- A Statistical Study of Consumer Perspective Towards The Supply Chain Management of Food Delivery Platforms.- Design of an Auxiliary 3D Printed Soft Prosthetic Thumb.- Prediction of Material Removal Rate and Surface Roughness in CNC Turning of Delrin using various Regression techniques and Neural Networks and Optimization of Parameters using Genetic Algorithm.- Finding Accuracies of Various Machine Learning Algorithms by Classification of Pulsar Stars.- Fibre-Reinforced Composites and their Applications in Student Competitions: A Case Study