Smart Integration of AI in Additive Manufacturing
Innovation, Application, and Future Directions
Will be published approx. on 4. September 2026
Book
Hardback
IX, 488 pages
978-3-032-28926-1 (ISBN)
Description
Smart Integration of AI in Additive Manufacturing: Innovations, Applications, and Future Directions This book delves into the transformative impact of Artificial Intelligence (AI) on Additive Manufacturing (AM), widely known as 3D printing. It examines how AI is reshaping the design, production, and post-processing phases of AM, driving smarter, faster, and more efficient workflows. Covering a broad spectrum of applications-from healthcare and aerospace to consumer goods and sustainable manufacturing-the book presents a comprehensive view of current innovations and emerging trends in the field. Key topics include AI-powered design optimization, machine learning for fine-tuning process parameters, and real-time quality control through computer vision. It also explores cutting-edge techniques such as generative design, predictive maintenance, and intelligent material selection, all aimed at boosting precision, efficiency, and environmental sustainability in AM. Rich with case studies and practical examples, the book offers valuable insights for researchers, engineers, and industry practitioners. Visual aids including illustrations, tables, and diagrams help clarify complex ideas. With a unique educational approach that blends foundational theory with practical guidance, this book is ideal for both newcomers and seasoned professionals in the field. Readers will gain a thorough understanding of how Artificial Intelligence can be seamlessly integrated into additive manufacturing to address real-world challenges. This book provides practical insights and state-of-the-art tools to support innovation in various projects. Whether you're a researcher developing new approaches, an engineer enhancing production workflows, or a student exploring the future of manufacturing, this book is an essential guide to navigating the evolving landscape of smart manufacturing. Offering a balanced mix of theoretical foundations and practical strategies, it is a must-read for anyone interested in the powerful synergy between AI and additive manufacturing.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
25 s/w Abbildungen
IX, 488 p. 137 illus., 115 illus. in color.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-3-032-28926-1 (9783032289261)
Schweitzer Classification
Persons
Dr. M. Adam Khan is working as a Professor and Head - Department of Mechanical Engineering, and heading the Centre for Surface Engineering at Kalasalingam Academy of Research and Education, Virudhunagar, India. He completed his Post Doctoral Research from the University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa. He received his Doctoral Degree from the National Institute of Technology, Tiruchirappalli, India, and his Undergraduate and Postgraduate Degrees from Anna University, Chennai, India. His research focus is on material development for different engineering applications. He has developed nickel-based superalloys through a direct laser sintering process for high temperatures. Current his research interest has focused on metal for bio medical engineering and surface sciences. He is working in the invitro analysis on 3D printed and commercial titanium implants; before and after material processing. The research has been placed in track to report the surface quality and cell viability. In addition, the biocompatibility of the same processed materials is studied using simulated body fluids. Recently the research has been more focused to develop the titanium implant material through direct laser sintering process (DMLS) additive-built material and its post processing. Further, the material has been investigated for different property studies, including mechanical strength, surface qualities, corrosion, and oxidation behavior. Beyond his research, he is serving as a reviewer for more than 30 journals. He also had a chance to serve as Guest Lead Editor for the Journals and Books hosted by SpringerNature, Elsevier, Hindawi and Taylor & Francis publishers. He has published more than one hundred and thirty research articles in the journal of international repute. He has good knowledge of teaching-learning process (outcome-based education) evaluation. Under his supervision, two research scholars have been awarded doctoral degree.
Content
Introduction to Artificial Intelligence in Industry 4.0.- Role of Artificial Intelligence in Industry 4.0 Manufacturing Systems and Sustainability Applications.- Industry 5.0 in Additive Manufacturing.- Intelligent Additive Manufacturing: AI-Based Prediction and Adaptive Correction of Warping Defects in Fused Deposition Modeling.- Artificial Intelligence in Additive Manufacturing: Applications, Process Optimization and Future Directions.- Challenges and Future Perspectives for AI Applications in Additive Manufacturing.- From Vision to Reality: Virtual Reality in Additive Manufacturing.- Predictive Maintenance in Additive Manufacturing Using Artificial Intelligence: Concepts, Challenges, and Future Directions.- AI for Predictive Maintenance in Additive Manufacturing.- AI-Driven Predictive Maintenance for Sustainable Additive Manufacturing: Enhancing Reliability, Process Efficiency, and System Lifecycle Performance.- Intelligent Customization Techniques in Industrial Applications of Industry 4.0 in the Context of Additive Manufacturing.