AI applications in sheet metal forming / Shailendra Kumar, Hussein M.A. Hussein, editors.
Kumar, Shailendra, editor.; Hussein, Hussein M. A., editor.
2017
TS250
Available Online

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Title AI applications in sheet metal forming / Shailendra Kumar, Hussein M.A. Hussein, editors.
ISBN 9789811022517 (electronic book)
9811022518 (electronic book)
9789811022500
981102250X
DOI https://doi.org/10.1007/978-981-10-2251-7
Published Singapore : Springer, 2017.
Language English
Description 1 online resource.
Item Number 10.1007/978-981-10-2251-7 doi
Call Number TS250
Dewey Decimal Classification 671.823
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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed November 7, 2016).
Added Author Kumar, Shailendra, editor.
Hussein, Hussein M. A., editor.
Series Topics in mining, metallurgy and materials engineering.
Available in Other Form Print version: 9789811022500
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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.

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