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Full Description
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.
Contents
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
