TY  - GEN
AU  - Valdemar Fernandes,José
AU  - Oliveira,Marta
TI  - Modelling and Simulation of Sheet Metal Forming Processes
SN  - books978-3-03928-557-0
PY  - 2020///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - n/a
KW  - hardening
KW  - modeling
KW  - direct forming
KW  - forming limit curve
KW  - depth-sensing indentation
KW  - stamping
KW  - finite element method
KW  - similitude
KW  - the bathtub model
KW  - boron steel
KW  - plastic anisotropy
KW  - physical experiment
KW  - robustness evaluation
KW  - cold deep drawing
KW  - hardening law
KW  - formability
KW  - magnetic-pulse forming
KW  - hot deep drawing
KW  - metallic bipolar plate
KW  - parameters identification
KW  - finite element simulation
KW  - mechanical properties
KW  - hardness
KW  - deformation characteristics
KW  - continuum damage mechanics
KW  - yield function
KW  - Knoop indenter
KW  - Young’s modulus
KW  - damage
KW  - 3D adaptive remeshing
KW  - springback
KW  - bake hardening
KW  - Johnson–Cook material model
KW  - anisotropy
KW  - indirect forming
KW  - ductile damage
KW  - steel sheet
KW  - mechanical modeling
KW  - fracture behavior
KW  - fuel cells
KW  - dent resistance
KW  - numerical simulation
KW  - mixed hardening
KW  - M-K theory
KW  - uniform deformation
KW  - non-proportional loading paths
KW  - high-frequency oscillation
KW  - gas detonation forming
KW  - yield locus
KW  - sheet metal forming
KW  - inhomogeneity
KW  - TA32 titanium alloy
KW  - aluminium alloy formability
N1  - Open Access
N2  - The 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
UR  - https://mdpi.com/books/pdfview/book/2227
UR  - https://directory.doabooks.org/handle/20.500.12854/53743
ER  -