Green Manufacturing with Artificial Intelligence Applications (Advanced Mechanical Engineering)

Green Manufacturing with Artificial Intelligence Applications serves as a comprehensive textbook designed for students, researchers, and educators in mechanical, production, and industrial engineering. The book integrates principles of sustainable manufacturing with cutting-edge artificial intelligence tools to promote eco-efficient and smart production systems. It explains concepts such as energy optimization, waste minimization, intelligent process control, and digital manufacturing with real-world examples and case studies. Emphasizing both theoretical foundations and practical implementation, this text prepares learners to understand and apply AI-driven approaches for achieving greener, cleaner, and more efficient manufacturing aligned with Industry 4.0 and 5.0 goals.

__Dr. Yashvir Singh is presently working as an Associate Professor at Mechanical Engineering Department, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, India. He has published more than 150 research papers in SCI/Scopus/Web of Science Journals with high impact factors. He has written 8 books with International Publishers – CRC Press, De-Gruyter, River Publishers.

__Dr. Nishant Kumar Singh is presently working as Associate Professor at Mechanical Engineering Department, Harcourt Butler Technical University, Kanpur, Uttar Pradesh, India. He has edited book, contributed book chapters, published patents and successfully guided various students. His area of research includes Manufacturing, Materials, and Optimization techniques. He has managed to publish more than 100 research papers in international journals of repute.

__Prof. J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges/institutes in China, He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering.