2018
DOI: 10.1016/j.matpr.2018.06.319
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Role of Simulation in Metal Forming Processes

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Cited by 4 publications
(2 citation statements)
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“…To date, various numerical simulation approaches have been developed for SMF processes. They can be classified as the discrete element method (DEM) [ 46 , 47 ], boundary element method (BEM) [ 48 ], finite volume method (FVM), finite difference method (FDM) [ 49 ], finite element method (FEM) including crystal plasticity finite element (CPFEM) [ 50 , 51 , 52 , 53 ], extended finite element (XFEM) [ 54 ], multi-grid and mesh-free methods [ 55 ], fast Fourier transformation (FFT) [ 56 ] and arbitrary Lagrangian-Eulerian (ALE) [ 57 , 58 ].…”
Section: Introductionmentioning
confidence: 99%
“…To date, various numerical simulation approaches have been developed for SMF processes. They can be classified as the discrete element method (DEM) [ 46 , 47 ], boundary element method (BEM) [ 48 ], finite volume method (FVM), finite difference method (FDM) [ 49 ], finite element method (FEM) including crystal plasticity finite element (CPFEM) [ 50 , 51 , 52 , 53 ], extended finite element (XFEM) [ 54 ], multi-grid and mesh-free methods [ 55 ], fast Fourier transformation (FFT) [ 56 ] and arbitrary Lagrangian-Eulerian (ALE) [ 57 , 58 ].…”
Section: Introductionmentioning
confidence: 99%
“…The thermomechanical simulation of the forging process makes it possible to determine the local distributions of the state of strain, stress, and also temperature (Bednarek et al, 2012;Łukaszek-Sołek, 2014;Perez, 2018). The information obtained this way is sufficient for determining parameters, which guarantee the possibility of the process conducting and a product having the required quality (Guo et al, 2018;Saad et al, 2018). Numerical modelling in the case of the designing of a new forging or perfecting the one applied till now aims at predicting the manner of material flow, the analyzing of the impression die filling, determining of the areas of the possible defects formation, and also optimizing the dimensions of an initial material (Gao et al, 2019;He et al, 2017; -90 -COMPUTER METHODS IN MATERIALS SCIENCE Skripalenko et al, 2019).…”
Section: Introductionmentioning
confidence: 99%