Artificial Intelligence (AI) is revolutionizing the manufacturing industry by automating tasks at a speed, scale, and scope that far surpasses human capabilities. As AI continues to advance, it is clear that the future of manufacturing will be driven by intelligent systems. These systems have the potential to transform the way products are made, improving efficiency and quality across the board. AI is paving the way for a new era of manufacturing, where innovation and automation go hand in hand.
Artificial Intelligence and Robotics in Manufacturing: A Sustainable Future offers a comprehensive exploration of the scientific and technological advancements in robotics-based manufacturing. This book delves into a variety of topics, including applications in aerospace, nuclear, and medical industries. Emphasizing the use of advanced AI-based robotics, the book highlights recent breakthroughs in manufacturing techniques, specifically focusing on AI applications in fabrication and machining. Additionally, it examines the rapid evolution of AI technology and addresses cost-effective solutions within the manufacturing sector.
Overall, this book provides valuable insights into the intersection of artificial intelligence and robotics in manufacturing, offering a glimpse into the exciting possibilities for the future of this industry and allowing this book to serve as a valuable source for academics, researchers in manufacturing, computational sciences, mechanical engineers, systems engineers, manufacturing engineers, and professionals in industries related to artificial intelligence and manufacturing.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional Reference
Illustrationen
3 s/w Photographien bzw. Rasterbilder, 59 s/w Zeichnungen, 35 s/w Tabellen, 62 s/w Abbildungen
35 Tables, black and white; 59 Line drawings, black and white; 3 Halftones, black and white; 62 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-032-82784-1 (9781032827841)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Ankit D. Oza currently serves as a Research Professor at Parul University in Vadodara, Gujarat, India. He earned his Ph.D. in Industrial Engineering from Pandit Deendayal Petroleum University (PDPU) in Gandhinagar, India. His primary research focuses on Non-traditional and hybrid Micro-machining processes and their applications, while he also conducts work on AI and IoT-based manufacturing processes. Throughout his career, Dr. Oza has published more than 70 articles and over 30 conference papers. He holds more than 45 National and International Patents to his credit. Dr. Oza regularly delivers expert talks at prestigious universities and colleges across India. He also serves as a reviewer for numerous prestigious international journals.
Dr. Ankit Sharma currently serves as the Associate Director (Research) at the Centre for Research Impact & Outcome (CRIO) Department of Chitkara University, Punjab, India, where he also heads the university's international peer-reviewed journals and publications. After earning his doctorate in Mechanical Engineering from the Thapar Institute of Engineering and Technology in Punjab, India, he has established himself as a passionate researcher with diverse interests spanning manufacturing, medical devices, modern machining processes, additive manufacturing, and tissue engineering. With more than 55 scientific articles published in reputed journals, conferences, and books, Dr. Sharma founded the annual ICEMSMCI conference and organizes several other international conferences, including ICAMSF 2025. His international recognition includes chairing conferences, delivering keynote talks across India, the USA, and China, and receiving best research paper awards. Currently providing consultancy to the health industry for biomedical device manufacturing machines, he has filed over 30 patents with 4 international and 18+ additional patents already granted. His interdisciplinary research contributions, particularly at the intersection of engineering, health, and manufacturing sectors, have led him to edit/author 5 books and serve on editorial boards of numerous reputed international peer-reviewed journals.
Dr. Hreetabh Kishore earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Ropar, Punjab, India. Currently, he works in the Department of Manufacturing and Engineering Technology at Tennessee Tech University in Cookeville, Tennessee, USA. As an enthusiastic educator, Dr. Kishore employs student-focused teaching approaches that provide real-time learning experiences. He has participated in two international conferences with funding from DST, India Travel Grant. His research focuses on AI and IoT-based manufacturing processes and related fields. Dr. Kishore has authored several publications in peer-reviewed journals, with additional papers currently under review, and has presented and published more than 21 papers at international conferences worldwide. He has also contributed to intellectual property development by filing patents in the advanced engineering domain.
Dr. Atul Babbar serves as Deputy Dean (Research and Development) and Assistant Professor at SGT University, Haryana, India. He earned his Doctor of Philosophy (Ph.D.) from Thapar Institute of Engineering and Technology, Patiala, India, where he specialized in Neurosurgical Bone Grinding-a procedure removing bone sections to create passages for accessing tumors in the brain and spine. His research addressed critical concerns of neurosurgeons regarding real-time temperature monitoring, thermal tissue injury, and depth of thermogenesis and osteonecrosis. Dr. Babbar's research interests span interdisciplinary fields where engineering and medical research intersect, including Medical Devices, Manufacturing, Hybrid Machining Processes, and Biomedical and Additive Manufacturing. He has authored more than 60 research articles in various International and National Web of Science and Scopus-indexed journals. His intellectual property portfolio includes 20 published Indian patents and 4 granted international patents. Dr. Babbar serves as a Guest Editor for various reputed journals and as a Book Series Editor. He has reviewed numerous research articles for peer-reviewed journals and published multiple international books and book chapters. Additionally, he is an Associate Member of the Institution of Engineers (AMIE), India, and a Professional Member of the Association for Computing Machinery.
Herausgeber*in
Chitkara University, Punjab
Shree Guru Gobind Singh Tricentenary University
Acknowledgements
Preface
List of Contributors
Chapter 1 Advanced manufacturing Techniques of Additive Manufacturing Processes: A State-of-the-art Review and Future applications
Abhishek Bhattacharjee, Ajay Kumar Badhan, Pushpendra Ratnam Verma, Raman Kumar, Rupinder Kaur, Sehijpal Singh, Wulfran Fendzi Mbasso
Chapter 2 Predicting Productivity and Surface Quality in EN19 Alloy Electrical Discharge Machining using Machine Learning Regression Models- A Case Study
Neeta Deshpande, Vijaykumar S Jatti, A. Saiyathibrahim, a), Abhinav Kumar, Shyan, Pallavi Sharma, Patel Amishkumar Bhagvandas, S.E. Shcheklein
Chapter 3 Implementation of AI and Industry 4.0 on Additive Manufacturing Processes
Swarn Singh, Harvinder Singh, Ankit Sharma, Vijay Kumar, Ujval Mutyala, Muralimohan Cheepu
Chapter 4 Investigation on Damper material while designing and simulation of low-cost magnetorheological fluid: A manufacturing systems-based case study
Md Umar Ibrahim, Aseeb Sabu, Dr. Lijesh, S. M. Muzakkir
Chapter 5 Case Study, Future Trends, and Innovations in AIoT-based Manufacturing Technologies
Kunwar Partap Singh, Balwinder Singh, Sukhpal Singh, Raman Kumar, Wulfran FENDZI MBASSO, Vijay Kant
Chapter 6 Green composite- AI based fabrication, characterization, evaluation and application
Shaman Gupta, Harvinder Singh, Omar Mbrouk, Ankit Sharma, Raghvendra Kumar Mishra, Saurav Goel
Chapter 7 IoT-based Algorithms for Robots: A Case Study on Remanufacturing
Anupam Bonkra, Jai sonker,Rahul Grover, Harvinder singh, Ankit Sharma,
Sriharsha Chollangi, Padmini Yenumula
Chapter 8 AI-Based Scientometric Analysis of Post-Processing in Additively Manufactured Structure: Insights from 2013-2023
Hreetabh Kishore, Priyanka Sinha, Muralimohan Cheepu, Suresh Pratap
