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This book provides a comprehensive overview of metal matrix composite manufacturing, including fabrication methods, characterization techniques, and manufacturing applications. 10 chapters cover fundamental and applied topics on matrix metal composites. The book is a resource for all readers seeking to gain an in-depth understanding of metal matrix composites with its relevance to the modern industry. Key Features - Includes fully referenced contributions by experts in materials science - Provides an introduction to the subject, and a future prospective for a broad range of readers - Reviews current knowledge on fabrication techniques and structure property relationships of metal matrix composites - Includes dedicated chapters for reinforced composites (carbon fiber, carbon nanotubes, aluminium) - Includes guidance on material wear and tear and - Provides an investigation for process optimization for EDM for newly developed composites It is designed to be an essential resource for students and professionals in the field of materials science and engineering, as well as researchers and engineers working on metal matrix composite in manufacturing industries.
This volume comprises select proceedings of the 7th International and 28th All India Manufacturing Technology, Design and Research conference 2018 (AIMTDR 2018). The papers in this volume discuss simulations based on techniques such as finite element method (FEM) as well as soft computing based techniques such as artificial neural network (ANN), their optimization and the development and design of mechanical products. This volume will be of interest to researchers, policy makers, and practicing engineers alike.
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others. Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
This book presents the select proceedings of 21st ISME conference on Advances in Mechanical Engineering. It covers the latest research and technological advancements in the area of manufacturing and materials engineering. Various topics covered in this book are additive manufacturing, rapid prototyping, micro and nano manufacturing, welding, casting, forming process, conventional and non-conventional machining, CIM, CAM, modeling and simulation, composite materials, powder metallurgy, supply chain management, reliability engineering/quality engineering product life cycle management, industry 4.0, micro machining, surface science and engineering, materials characterization and functionally graded materials. The book is useful for researchers and professionals working in the areas of manufacturing and materials engineering.
This eBook presents a comprehensive review on the chemical composition of natural products derived from honeybee farming. These products include honey, pollen and propolis. Each chapter details specific products and the contents are complemented with an explanation of distinct analytical techniques for studying these products. Readers will also find a summary of current information about biological properties and applications of honey, pollen and propolis, which contribute to added value to these bee and plant-derived products. The eBook is a handy reference for students, researchers and laymen studying the biochemical aspects of apiculture.
Historical background and activities of Muslim educational and socio-religious institutions.
This book is compiled with emotions, thoughts, dreams and achievement .authors had poured their heart out to give a masterpiece for this book
Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture. Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as ne...