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This book presents the select proceedings of the International Conference on Recent Advances in Manufacturing (RAM 2020). The volume focuses on latest research trends in manufacturing systems such as CAE, CAD/CAM, robotics and automation, reverse engineering, resource planning and simulation, computer-integrated manufacturing (CIM) systems, product life-cycle management, collaborative engineering, process monitoring control and traceability technologies, supply chain management, environment risk analysis, and manufacturing systems of renewable energy devices. The topics covered also include emerging fields of the fourth industrial revolution such cyber physical systems and cyber security, and wireless sensors and sensor networks for manufacturing. This book will be of interest to researchers and practitioners interested in latest developments in the field of manufacturing systems.

Manufactures. --- Industrial engineering. --- Automation. --- Computer-aided engineering. --- Machines, Tools, Processes. --- Industrial Automation. --- Computer-Aided Engineering (CAD, CAE) and Design. --- CAE --- Engineering --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Data processing --- Automation

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Structural engineering

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This book presents select proceedings of the Electric Power and Renewable Energy Conference 2022 (EPREC-2022). It provides rigorous discussions, case studies, and recent developments in the emerging areas of power electronics, especially power inverters and converter, electrical drives, regulated power supplies, operation of FACTS and HVDC, etc. The readers would be benefited from enhancing their knowledge and skills in these domain areas. The book is a valuable reference for beginners, researchers, and professionals interested in advancements in power electronics and drives.

Electric power production. --- Electric power distribution. --- Power electronics. --- Energy policy. --- Energy and state. --- Electrical Power Engineering. --- Energy Grids and Networks. --- Power Electronics. --- Energy Policy, Economics and Management. --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Electronics, Power --- Electric power --- Electronics --- Electricity --- Power distribution, Electric --- Electric power systems --- Power transmission --- Electric power transmission --- Electrification --- Electric power generation --- Electricity generation --- Power production, Electric --- Government policy --- Distribution --- Electrical engineering

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This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.

Metals and their compounds --- Applied physical engineering --- Plant and equipment --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- fabrieken --- productie --- KI (kunstmatige intelligentie) --- machines --- metalen

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This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.

Metals. --- Manufactures. --- Artificial intelligence. --- Metallic Materials. --- Manufacturing, Machines, Tools, Processes. --- Artificial Intelligence.