The book is focused on various applications of artificial intelligence (AI) in additive manufacturing such as aerospace and defense, automotive, consumer products, industrial products, medical devices and more. The book not only highlights the latest research status in the domain but also identi?es future scope of work for the field of manufacturing. It provides a provides a deep and state-of-the-art technological-scientific approach and offers a comprehensive guide on AI in additive manufacturing. It presents a necessary discussion on the successes and challenges within the excitement of building a future with AI technology and serves as a guide for how the technology impacts industries, how the technology has matured and been implemented, and the long-term competitive advantages. This book will present case studies, literature reviews, recent examples and technical developments to illustrate existing technologies and prospects for the future. There is no doubt that AI in additive manufacturing has gained interest and the research in the area will continue to develop, with this book itself adding to the commentary.

Advances in Metal Additive Manufacturing explains fundamental information and the latest research on new technologies, including powder bed fusion, direct energy deposition using high energy beams, and hybrid additive and subtractive methods. This book introduces readers to the technology, provides everything needed to understand how the different stages work together, and inspires to think beyond traditional metal processing to capture new ideas in metal. Chapters offer an introduction on metal additive manufacturing, processes, and properties and standards and then present surveys on the most significant international advances in metal additive manufacturing. Throughout, the book presents a focus on the effect of important process parameters on the microstructure, mechanical properties and wear behavior of additively manufactured parts.

After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.