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This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with a focus on mechanical and materials engineering. Divided into three subsections covering design and fluids, thermal engineering and materials engineering, each chapter includes exhaustive literature review along with thorough analysis and future research scope. Major topics covered pertains to computational fluid dynamics, mechanical performance, design, and fabrication including wide range of applications in industries as automotive, aviation, electronics, nuclear and so forth. Covers computational methods in design and fluid dyn...
This text highlights the role of artificial intelligence-powered robots and automation systems in revolutionizing digital manufacturing, covers prod-uct design and customization, and discusses various artificial intelligence algorithms for manufacturing processes and supply chain optimization. It further covers the applications of 3D printing and rapid prototyping for low-carbon development. Features: • Discusses microwave hybrid heating based on innovative joining tech-niques, applications of 3D printing, and rapid prototyping for low carbon development • Explains the role of artificial intelligence in digital manufacturing, data security, privacy issues, and defense mechanism • Provi...
This book, which is part of a two-volume handbook set, gives a comprehensive description of recent developments in materials science and manufacturing technology, aiming primarily at its applications in biomedical science, advanced engineering materials, conventional/non-conventional manufacturing techniques, sustainable engineering design, and related domains. Manufacturing Engineering and Materials Science: Tools and Applications provides state-of-the-art research conducted in the fields of technological advancements in surface engineering, tribology, additive manufacturing, precision manufacturing, electromechanical systems, and computer-assisted design and manufacturing. The book captures emerging areas of materials science and advanced manufacturing engineering and presents the most recent trends in research for emerging researchers, field engineers, and academic professionals.
In today's society researchers are more focused on cleaner materials production for environmental sustainability. This approach aims at reducing waste and the development of materials with enhanced properties and functionality. This book focuses on optimizing manufacturing processes for sustainable composite materials. It discusses optimum utilization of resources by using minimum effort to save cost and energy.
This book provides in-depth knowledge about cross rolling of biomedical alloys, cellulose, magnetic iron oxide nanoparticles, magnesium-based nanocomposites, titanium, titanium alloys, stainless steel, and improved biodegradable implants materials for biomechanical applications like joint replacements, bone plates, bone cement, artificial ligaments and tendons, dental implants for tooth fixation, and hip implants. It comprehensively covers advancements in materials including graphene-reinforced magnesium metal matrix, magnesium and its alloys, and 2D nanomaterials. The text discusses important topics including advanced materials for biomechanical applications, design, and analysis of stainless steel 316L for femur bone fracture healing, design and manufacturing of prosthetic dental implants, a biomechanical study of a low-cost prosthetic leg, and an energy harvesting mechanism for walking applications. The text will serve as a useful text for graduate students, academic researchers, and general practitioners in areas including materials science, manufacturing engineering, mechanical engineering, and biomechanical engineering.
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
The field of manufacturing science has evolved over the years with the introduction of non-traditional machining processes. This reference book introduces the latest trends in modeling and optimization of manufacturing processes. It comprehensively covers important topics including additive manufacturing at multi-scales, sustainable manufacturing, rapid manufacturing of metallic components using 3D printing, ultrasonic-assisted bone drilling for biomedical applications, micromachining, and laser-assisted machining. This book is useful to senior undergraduate and graduate students in the fields of mechanical engineering, industrial and production engineering, and aerospace engineering.
This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering. The book: • Discusses topics related to clean and green energy production and storage • Bridges the gap between core theory and costly industrial experiments • Covers advanced biomechanics and nanodrug delivery topics • Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes ma...
The application of a novel correlation coefficient of linguistic intuitionistic fuzzy sets to medical diagnosis problems provides the topic for Strategic Fuzzy Extensions and Decision-making Techniques. It further explains neutrosophic cubic set-based aggregation operators for library ranking systems, and techniques for order performance by similarity to ideal solution. The text also introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. This book: Introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. Covers recent studies in the field of fuzzy optimi...