The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

This edited book is a compilation of scholarly articles on the latest developments in the field of additive manufacturing, discussing nature-inspired and artificial intelligence–aided additive manufactured processes for different materials including biomanufacturing, and their applications, as well as various methods to enhance the characteristics of the materials produced, the efficiency of the manufacturing process itself, as well as optimal ways to develop a product in minimum time. The book explores the advancements in additive manufacturing from prefabrication stage to final product, with real-time defect detection, control, and process efficiency improvement covered. This book will be a great resource for engineers, researchers, and academics involved in this revolutionary and unique field of manufacturing. - Discusses modeling of additive manufacturing processes by artificial intelligence - Looks at the optimization of designs, technologies, and material fabrication and the use of simulation in additive manufacturing - Includes case studies and real-world industrial problems and solutions

With the exponential growth of science and technology, the delivery of dental care has shifted from conventional methods to intelligent techniques. In addition to adapting intelligent techniques, sustainable dental practice is of the utmost importance. Eco-friendly dentistry, sustainable dentistry, or green dentistry are approaches that reduce the environmental impact of dental practice and help safeguard planetary and community well-being. This handbook provides the latest and most comprehensive evidence-based guidance on intelligent and sustainable approaches in dentistry. Handbook of Intelligent and Sustainable Smart Dentistry: Nature and Bio-Inspired Approaches, Processes, Materials, and Manufacturing highlights how Dentistry 4.0 has come to the rescue after COVID-19 and how it has helped in providing needed e-healthcare. This handbook bridges the gap between research and development in the field of smart dentistry for professionals and clinicians. Intelligent materials, equipment, instrumentation, and the latest behavior management techniques and how these techniques provide superior care and treatment to society are explored in detail. The scope of nature-inspired techniques and procession, along with green solutions, are also discussed in this one-of-a-kind handbook. This valuable handbook is a single-stop solution for practitioners, researchers, scholars, students, academicians, and clinicians interested in updating their knowledge on intelligent and sustainable dentistry. The handbook will bestow the readers with not only theoretical knowledge but will equip them with clinical skills as well.

HANDBOOK OF FLEXIBLE AND SMART SHEET FORMING TECHNIQUES Single-source guide to innovative sheet forming techniques and applications, featuring contributions from a range of engineering perspectives Handbook of Flexible and Smart Sheet Forming Techniques presents a collection of research on state-of-art techniques developed specifically for flexible and smart sheet forming, with a focus on using analytical strategies and computational, simulation, and AI approaches to develop innovative sheet forming techniques. Bringing together various engineering perspectives, the book emphasizes how these manufacturing techniques intersect with Industry 4.0 technologies for applications in the mechanical, automobile, industrial, aerospace, and medical industries. Research outcomes, illustrations, case studies, and examples are included throughout the text, and are useful for readers who wish to better understand and utilize these new manufacturing technologies. Topics covered in the book include: Concepts, classifications, variants, process cycles, and materials for flexible and smart sheet forming techniques Comparisons between the aforementioned techniques and other conventional sheet forming processes, plus hardware and software requirements for these techniques Parameters, responses, and optimization strategies, mechanics of flexible and smart sheet forming, simulation approaches, and future innovations and directions Recent advancements in the field, including various optimizations like artificial intelligence, Internet of Things, and machine learning techniques Handbook of Flexible and Smart Sheet Forming Techniques is an ideal reference guide for academic researchers and industrial engineers in the fields of incremental sheet forming. It also serves as an excellent comprehensive reference source for university students and practitioners in the mechanical, production, industrial, computer science engineering, medical, and pharmaceutical industries.

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.