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XIX$3UONC006729$2FI 620 $aJP$dTo?kyo?$3UONL000031 686 $aGIA IV$cGIAPPONE - STORIA$2A 700 0$aSUGITANI Akira$3UONV036231$0653633 712 02$aNihon Rekishi Gakkai$3UONV272281 712 $aYoshikawa K?bunkan$3UONV246039$4650 801 $aIT$bSOL$c20250307$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00056891 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI GIA IV 021 (087) $eSI SA 81748 5 021 (087) 996 $aEto Shinpei$91149793 997 $aUNIOR LEADER 04249nam 2200985z- 450 001 9910404087103321 005 20210211 010 $a3-03928-557-2 035 $a(CKB)4100000011302267 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53743 035 $a(oapen)doab53743 035 $a(EXLCZ)994100000011302267 100 $a20202102d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aModelling and Simulation of Sheet Metal Forming Processes 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (254 p.) 311 08$a3-03928-556-4 330 $aThe numerical simulation of sheet metal forming processes has become an indispensable tool for the design of components and their forming processes. This role was attained due to the huge impact in reducing time to market and the cost of developing new components in industries ranging from automotive to packing, as well as enabling an improved understanding of the deformation mechanisms and their interaction with process parameters. Despite being a consolidated tool, its potential for application continues to be discovered with the continuous need to simulate more complex processes, including the integration of the various processes involved in the production of a sheet metal component and the analysis of in-service behavior. The quest for more robust and sustainable processes has also changed its deterministic character into stochastic to be able to consider the scatter in mechanical properties induced by previous manufacturing processes. Faced with these challenges, this Special Issue presents scientific advances in the development of numerical tools that improve the prediction results for conventional forming process, enable the development of new forming processes, or contribute to the integration of several manufacturing processes, highlighting the growing multidisciplinary characteristic of this field. 606 $aHistory of engineering and technology$2bicssc 610 $a3D adaptive remeshing 610 $aaluminium alloy formability 610 $aanisotropy 610 $abake hardening 610 $aboron steel 610 $acold deep drawing 610 $acontinuum damage mechanics 610 $adamage 610 $adeformation characteristics 610 $adent resistance 610 $adepth-sensing indentation 610 $adirect forming 610 $aductile damage 610 $afinite element method 610 $afinite element simulation 610 $aformability 610 $aforming limit curve 610 $afracture behavior 610 $afuel cells 610 $agas detonation forming 610 $ahardening 610 $ahardening law 610 $ahardness 610 $ahigh-frequency oscillation 610 $ahot deep drawing 610 $aindirect forming 610 $ainhomogeneity 610 $aJohnson-Cook material model 610 $aKnoop indenter 610 $aM-K theory 610 $amagnetic-pulse forming 610 $amechanical modeling 610 $amechanical properties 610 $ametallic bipolar plate 610 $amixed hardening 610 $amodeling 610 $an/a 610 $anon-proportional loading paths 610 $anumerical simulation 610 $aparameters identification 610 $aphysical experiment 610 $aplastic anisotropy 610 $arobustness evaluation 610 $asheet metal forming 610 $asimilitude 610 $aspringback 610 $astamping 610 $asteel sheet 610 $aTA32 titanium alloy 610 $athe bathtub model 610 $auniform deformation 610 $ayield function 610 $ayield locus 610 $aYoung's modulus 615 7$aHistory of engineering and technology 700 $aValdemar Fernandes$b Jose?$4auth$01314896 702 $aOliveira$b Marta$4auth 906 $aBOOK 912 $a9910404087103321 996 $aModelling and Simulation of Sheet Metal Forming Processes$93032110 997 $aUNINA