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 workingin sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.
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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.
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An overview of applications of artificial intelligence (AI) in sheet metal work.- Generic classification and representation of shape features in sheet-metal parts.- Feature Extraction and Manufacturability Assessment of Sheet Metal Parts.- Knowledge Based System for Design of Blanking Dies.- Knowledge-Based System for Design of Deep Drawing Die for Axisymmetric Parts.- An Integrated Approach for Optimized Process Planning of Multistage Deep Drawing.- Knowledge Based System for Design of Deep Drawing Die for Elliptical Shape Parts.- An Expert System for Automatic Design of Compound Dies.- Prediction of Die Life of Compound Die using ANN.- Knowledge Based System for Automatic Design of Bending Dies.
Les mer
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 workingin sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.
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Demonstrates applications of various AI techniques in sheet metal forming, using real industrial sheet metal parts Includes flow charts explaining the execution of the systems developed using AI techniques Presents research work that, if implemented in the sheet metal industry, could dramatically reduce the time and cost of manufacturing sheet metal parts Includes supplementary material: sn.pub/extras
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Produktdetaljer
ISBN
9789811095740
Publisert
2018-06-16
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet