000 03893nam a22005535i 4500
001 978-981-10-2251-7
003 DE-He213
005 20220801221717.0
007 cr nn 008mamaa
008 161027s2017 si | s |||| 0|eng d
020 _a9789811022517
_9978-981-10-2251-7
024 7 _a10.1007/978-981-10-2251-7
_2doi
050 4 _aTA459-492
072 7 _aTGM
_2bicssc
072 7 _aTEC021030
_2bisacsh
072 7 _aTGM
_2thema
082 0 4 _a620.16
_223
245 1 0 _aAI Applications in Sheet Metal Forming
_h[electronic resource] /
_cedited by Shailendra Kumar, Hussein M. A. Hussein.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXII, 290 p. 231 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTopics in Mining, Metallurgy and Materials Engineering,
_x2364-3307
505 0 _aAn 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 _aThis 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 _aMetals.
_911824
650 0 _aManufactures.
_931642
650 0 _aArtificial intelligence.
_93407
650 1 4 _aMetals and Alloys.
_931871
650 2 4 _aMachines, Tools, Processes.
_931645
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKumar, Shailendra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_957545
700 1 _aHussein, Hussein M. A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_957546
710 2 _aSpringerLink (Online service)
_957547
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811022500
776 0 8 _iPrinted edition:
_z9789811022524
776 0 8 _iPrinted edition:
_z9789811095740
830 0 _aTopics in Mining, Metallurgy and Materials Engineering,
_x2364-3307
_957548
856 4 0 _uhttps://doi.org/10.1007/978-981-10-2251-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79965
_d79965