AI applications in sheet metal forming

• Other Authors: Kumar, Shailendra (Editor), Hussein, Hussein M. A. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer, 2017.
• Series: Topics in mining, metallurgy and materials engineering.
• Subjects: Sheet-metal work > Automation.; Computer integrated manufacturing systems.; elektronické knihy; electronic books
• ISBN: 9789811022517; 9789811022500
• ISSN: 2364-3293
• Physical Description: 1 online resource
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.