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LEADER 00000cam a2200505Ii 4500
006 m o d
007 cr nn|008mamaa
008 161027s2017 si ob 000 0 eng d
020 9789811022517|q(electronic bk.)
020 9811022518|q(electronic bk.)
024 7 10.1007/978-981-10-2251-7|2doi
050 4 TS250
082 04 671.823|223
245 00 AI applications in sheet metal forming /|cShailendra Kumar,
Hussein M.A. Hussein, editors.
264 1 Singapore :|bSpringer,|c2017.
300 1 online resource.
338 online resource|bcr|2rdacarrier
347 text file|bPDF|2rda
490 1 Topics in mining, metallurgy and materials engineering,
504 Includes bibliographical references.
505 0 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.
520 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.
650 0 Sheet-metal work|xAutomation.
650 0 Computer integrated manufacturing systems.
655 4 Electronic books.
700 1 Kumar, Shailendra,|eeditor.
700 1 Hussein, Hussein M. A.,|eeditor.
710 2 SpringerLink|eissuing body.
776 08 |iPrinted edition:|z9789811022500
830 0 Topics in mining, metallurgy and materials engineering.
830 0 Springer Engineering eBooks 2017 English+International
856 40 |uhttps://ezp.lib.unimelb.edu.au/login?url=http://
ebook (University of Melbourne only)
990 Springer EBA e-book collections for 2017-2019
990 Springer Engineering 2017
990 Batch Ebook load (bud2) - do not edit, delete or attach
991 |zNEW New collection springerlink.ebooksengine2017 2019-03