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.