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Handbook of Sustainable Materials presents recent developments in sustainable materials and how these materials interact with the environment. It highlights the recent advancements involved in proper utilization of sustainable materials, including chemical and biological approaches. With chapters written by global experts, the book offers a guide and insights into sustainable materials from a variety of engineering disciplines. Each chapter provides in-depth technical information on the sustainable materials theory and explores synthesis strategies, green materials, and artificial intelligence. The book considers applications in sectors such as aerospace, automobile, and biomedical for rapid prototyping and customized production without negative environmental impacts. It features research outcomes and case studies of optimization and modeling techniques in practice.

Features:

This book is designed for researchers and professionals working with sustainable materials, clean manufacturing, and environmental impacts.

Handbook of Sustainable Materials presents recent developments in sustainable materials and how these materials interact with the environment. It highlights the recent advancements involved in proper utilization of sustainable materials, including chemical and biological approaches. With chapters written by global experts, the book offers a guide and insights into sustainable materials from a variety of engineering disciplines. Each chapter provides in-depth technical information on the sustainable materials theory and explores synthesis strategies, green materials, and artificial intelligence. The book considers applications in sectors such as aerospace, automobile, and biomedical for rapid prototyping and customized production without negative environmental impacts. It features research outcomes and case studies of optimization and modeling techniques in practice.

Features:

This book is designed for researchers and professionals working with sustainable materials, clean manufacturing, and environmental impacts.

Sustainable development approaches cannot be met unless waste management is addressed as a priority. Waste Recovery and Management: An Approach Toward Sustainable Development Goals presents a comprehensive examination of environmental pollution and health hazards caused by differing types of waste, its recycling and other e-waste management strategies, and potential political and legal interventions. It also presents the available carbon-recycling methods and investigates how these might be applied to reinforce waste management in industrialized countries as well as developing and emerging economies. Each chapter includes valuable data and case studies that serve as practical guidance for academicians, researchers, and stakeholders for quantifying the impacts of waste, and for planning integrated solid waste collection and treatment systems, thereby working toward sustainability at a global level.

Features:

Sustainable development approaches cannot be met unless waste management is addressed as a priority. Waste Recovery and Management: An Approach Toward Sustainable Development Goals presents a comprehensive examination of environmental pollution and health hazards caused by differing types of waste, its recycling and other e-waste management strategies, and potential political and legal interventions. It also presents the available carbon-recycling methods and investigates how these might be applied to reinforce waste management in industrialized countries as well as developing and emerging economies. Each chapter includes valuable data and case studies that serve as practical guidance for academicians, researchers, and stakeholders for quantifying the impacts of waste, and for planning integrated solid waste collection and treatment systems, thereby working toward sustainability at a global level.

Features:

This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.

Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements, identify errors, and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook.

This handbook is an invaluable resource for stakeholders, industries, professionals, technocrats, academics, research scholars, senior graduate students, and human healthcare professionals.

This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.

Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements, identify errors, and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook.

This handbook is an invaluable resource for stakeholders, industries, professionals, technocrats, academics, research scholars, senior graduate students, and human healthcare professionals.

Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies.

Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing–related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available.

This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.