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Author: Shailendra Kumar
Publisher: Springer
ISBN: 9811022518
Category : Technology & Engineering
Languages : en
Pages : 298
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Book Description
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.
Author: Shailendra Kumar
Publisher: Springer
ISBN: 9811022518
Category : Technology & Engineering
Languages : en
Pages : 298
Get Book Here
Book Description
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.
Author: Z. Marciniak
Publisher: Butterworth-Heinemann
ISBN: 9780750653008
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
Material properties -- Sheet deformation processes -- Deformation of sheet in plane stress -- Simplified stamping analysis -- Load instability and tearing -- Bending of sheet -- Simplified analysis of circular shells -- Cylindrical deep drawing -- Stretching circular shells -- Combined bending and tension of sheet -- Hydroforming.
Author: Salunkhe, Sachin
Publisher: IGI Global
ISBN: 1799885186
Category : Technology & Engineering
Languages : en
Pages : 240
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Book Description
After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.
Author: Matthias Thürer
Publisher: Springer Nature
ISBN: 3031716450
Category :
Languages : en
Pages : 557
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Book Description
Author: Sachin Salunkhe
Publisher: Engineering Science Reference
ISBN: 9781799885160
Category : Additive manufacturing
Languages : en
Pages : 272
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Book Description
"This book provides introductory instruction on how to learn how to use artificial intelligence to produce additively manufactured parts, including a description of the starting points, what you can know, how it blends and how artificial intelligence in additive manufacturing apply"--
Author: Rajesh Singh
Publisher: Springer
ISBN: 9811059039
Category : Technology & Engineering
Languages : en
Pages : 1729
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Book Description
The book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences. It contains high-quality research papers presented at the 2nd international conference, ICICCD 2017, organized by the Department of Electronics, Instrumentation and Control Engineering of University of Petroleum and Energy Studies, Dehradun on 15 and 16 April, 2017. The volume broadly covers recent advances of intelligent communication, intelligent control and intelligent devices. The work presented in this book is original research work, findings and practical development experiences of researchers, academicians, scientists and industrial practitioners.
Author: Ken-ichiro Mori
Publisher: CRC Press
ISBN: 9789026518225
Category : Technology & Engineering
Languages : en
Pages : 1170
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Book Description
This volume contains about 180 papers including seven keynotes presented at the 7th NUMIFORM Conference. It reflects the state-of-the-art of simulation of industrial forming processes such as rolling, forging, sheet metal forming, injection moulding and casting.
Author: Diego Carou
Publisher: Springer Nature
ISBN: 3030910067
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.
Author: Syed Saad
Publisher: CRC Press
ISBN: 1040096565
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
This book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.
Author: Shailendra Kumar
Publisher: Springer Nature
ISBN: 9813344660
Category : Technology & Engineering
Languages : en
Pages : 340
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Book Description
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.
