Emerging Trends in Manufacturing Technologies

Ajay Kumar · Parveen Kumar · J. Paulo Davim

2026年1月 · Woodhead Publishing

電子書

500

頁數

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這本書將於 2026年1月1日推出。發行前，我們不會向你收取費用。

關於這本電子書

Advancements in manufacturing significantly shape industrial services and products, influencing societal improvement. The dynamic manufacturing process, involving resources, capital, people, machines, and information, rapidly evolves with technological progress, impacting industries. To meet market demands and enhance global competitiveness, industries focus on integrating resources efficiently. This involves adopting emerging trends and advanced strategies that optimise industrial systems, providing diverse options and improving global green production. 'Emerging Trends in Manufacturing Technologies' is organised into two sections covering various aspects of manufacturing technologies. The first section reviews methods and strategies such as the Digital Era of Manufacturing Science, eco-mechatronics, and Human-Machine Interaction. The second section explores advanced tracks like machining, joining, casting, and inspection techniques. Aimed at researchers, academics, students and professionals, the book compiles original research and applications, offering logical and analytical solutions to manufacturing challenges. It serves as a comprehensive update on the state-of-the-art in manufacturing, fostering further research and innovation.• Integrates numerical, experimental, and computational methods across various manufacturing processes.• Explores concepts from mechanical, production, and industrial engineering, providing a holistic view of the manufacturing field.• Offers a detailed guide on modeling and optimising diverse manufacturing methods, including emerging trends such as Industry 4.0, additive manufacturing, robotics, and more.• Addresses key topics like Micro- and Nano-Manufacturing, Cellular Manufacturing, and advancements in machining, joining, forming, powder metallurgy, casting, and moulding science, backed by original theoretical, experimental, and modeling results.

關於作者

Ajay Kumar is a Professor in the Department of Mechanical Engineering, at JECRC University, Jaipur, Rajasthan, India. His areas of research include artificial intelligence, materials, incremental sheet forming, additive manufacturing, advanced manufacturing, Industry 4.0, waste management, and optimization techniques.

Dr. Parveen is the Head of the Department of Mechanical Engineering at Rawal Institute of Engineering and Technology in Faridabad, India, where he also serves as an Assistant Professor. He holds a Ph.D. from the National Institute of Technology, Kurukshetra, and has completed his B.Tech. (Hons.) from Kurukshetra University and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak. With over 12 years of teaching and research experience, his expertise lies in intelligent manufacturing systems, materials, die-less forming, design of automotive systems, additive manufacturing, CAD/CAM, and artificial intelligence. Dr. Parveen has published several articles in reputable international journals, presented at conferences, and holds 8 national and international patents.

Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.