Coverart for item
The Resource AI applications in sheet metal forming, Shailendra Kumar, Hussein M.A. Hussein, editors

AI applications in sheet metal forming, Shailendra Kumar, Hussein M.A. Hussein, editors

Label
AI applications in sheet metal forming
Title
AI applications in sheet metal forming
Statement of responsibility
Shailendra Kumar, Hussein M.A. Hussein, editors
Contributor
Subject
Language
eng
Summary
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
Member of
Dewey number
671.823
Image bit depth
0
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Kumar, Shailendra,
  • Hussein, Hussein M. A.,
Series statement
Topics in mining, metallurgy and materials engineering,
http://library.link/vocab/subjectName
  • Sheet-metal work
  • Computer integrated manufacturing systems
Label
AI applications in sheet metal forming, Shailendra Kumar, Hussein M.A. Hussein, editors
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Color
not applicable
Contents
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
Control code
ocn962018524
Dimensions
unknown
Extent
1 online resource
File format
multiple file formats
Form of item
online
Isbn
9789811022517
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)962018524
Label
AI applications in sheet metal forming, Shailendra Kumar, Hussein M.A. Hussein, editors
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Color
not applicable
Contents
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
Control code
ocn962018524
Dimensions
unknown
Extent
1 online resource
File format
multiple file formats
Form of item
online
Isbn
9789811022517
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)962018524

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
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