Numerical modelling of shear cutting using particle methods

被引:1
|
作者
Sandin, Olle [1 ]
Rodriguez Prieto, Juan Manuel [1 ,2 ]
Hammarberg, Samuel [1 ]
Casellas, Daniel [1 ,3 ]
机构
[1] Lulea Univ Technol, Div Solid Mech, Lulea, Sweden
[2] EAFIT Univ, Sch Appl Sci & Engn, Medellin, Colombia
[3] Ctr Tecnol Catalunya, Unit Metall & Ceram Mat, Eurecat, Manresa, Spain
关键词
FINITE-ELEMENT-METHOD; TRIAXIALITY; PLASTICITY; SIMULATION; PRESSURE; FRACTURE; DAMAGE;
D O I
10.1088/1757-899X/1284/1/012048
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The use of Advanced High Strength Steel (AHSS) allows for lightweighting of sheet steel components, with maintained structural integrity of the part. However, AHSS grades show limitations in edge crack resistance, primarily influenced by sheared edge damage introduced by the shear cutting process. Numerical modelling of the shear cutting process can aid the understanding of the sheared edge damage, thus avoiding unforeseen edge cracking in the subsequent cold forming. However, the extreme deformations of the blank during the shear cutting process are likely to cause numerical instabilities and divergence using conventional Finite Element modelling. To overcome these challenges, this work presents the use of a particle-based numerical modelling method called the Particle Finite Element Method (PFEM). PFEM accurately solves some of the challenges encountered in shear cutting with the standard Finite Element method, such as large deformation, angular distortions, generation of new boundaries and presents an efficient way of transfer historical information from the old to the new mesh, minimising the results diffusion. The present work shows prediction of cut edge morphology of AHSS using a PFEM modelling scheme, where the numerical results are verified against experiments. With these results, the authors show new possibilities to obtain accurate numerical prediction of the shear cutting process, which promotes further advances in prediction of edge damaged related to shear cutting of AHSS.
引用
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页数:10
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