This book presents select proceedings of 2nd International Conference on Recent Advances in Manufacturing (RAM 2021). The book provides insights into the current research trends and development in manufacturing processes. The topics covered include conventional and nonconventional manufacturing processes, micro and nano manufacturing processes, chemical and biochemical manufacturing, additive manufacturing, smart manufacturing, and sustainable and energy-efficient manufacturing. The contributions presented here are intended to stimulate new research directions in the manufacturing domain. This book will be useful for the beginners, researchers and professionals working in the area of industrial and production engineering and allied fields.

Handbook of Post-Processing in Additive Manufacturing is a key resource on postprocessing treatments available for additive manufactured products. It provides broad coverage of the theory behind emerging technology, material development, functional characterization, and technical details required to investigate novel applications and methods and put them to use. The handbook presents experimental breakthroughs of novel methodologies that treat additively manufactured parts, which are suitable for demanding engineering applications. This handbook emphasizes the various types of post-processing technologies that can effectively eliminate the inferiorities of additively manufactured components. It also provides a collection of key principles, literature, methodologies, experimental results, case studies, and theoretical aspects of the different types of postprocessing techniques, along with different classes of materials and end-applications. This book is an ideal reference for libraries and post-graduate courses as well as the professional market, including, but not limited to manufacturing, mechanical and industrial engineering, and materials science.

This book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.

The 12th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning was hosted by the University of L'Aquila and was held in L'Aquila (Italy) from July 13 to 15, 2022. The conference has established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences Technologies in TEL are capable of delivering smart, personalized, tailored, and motivating learning solutions. Methods are coming from different fields, such as education, psychology, medicine, computer science, and from diverse communities, where collaboration and co-working are used.

Presenting modern advances in the machining of ceramics and composites, this work offers broadly based, fundamental information for selecting the appropriate machining processes and parameters, developing successful manufacturing strategies, and designing novel machining systems. It focuses on scientific and engineering developments affecting the present and future of machining processes.

Metal injection molding combines the most useful characteristics of powder metallurgy and plastic injection molding to facilitate the production of small, complex-shaped metal components with outstanding mechanical properties. Handbook of Metal Injection Molding, Second Edition provides an authoritative guide to this important technology and its applications. Building upon the success of the first edition, this new edition includes the latest developments in the field and expands upon specific processing technologies. Part one discusses the fundamentals of the metal injection molding process with chapters on topics such as component design, important powder characteristics, compound manufacture, tooling design, molding optimization, debinding, and sintering. Part two provides a detailed review of quality issues, including feedstock characterisation, modeling and simulation, methods to qualify a MIM process, common defects and carbon content control. Special metal injection molding processes are the focus of part three, which provides comprehensive coverage of micro components, two material/two color structures, and porous metal techniques, as well as automation of the MIM process and metal injection molding of large components. Finally, part four explores metal injection molding of particular materials, and has been expanded to include super alloys, carbon steels, precious metals, and aluminum. With its distinguished editor and expert team of international contributors, the Handbook of Metal Injection Molding is an essential guide for all those involved in the high-volume manufacture of small precision parts, across a wide range of high-tech industries such as microelectronics, biomedical and aerospace engineering. Provides an authoritative guide to metal injection molding and its applications Discusses the fundamentals of the metal injection molding processes and covers topics such as component design, important powder characteristics, compound manufacture, tooling design, molding optimization, debinding, and sintering Comprehensively examines quality issues such as feedstock characterization, modeling and simulation, common defects and carbon content control