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Using the particle finite element method for predicting optimum shear cutting clearance
SANDIN Olle, LAROUR Patrick, RODRÍGUEZ Juan Manuel, KAJBERG Jörgen, CASELLAS Daniel
download PDFAbstract. The shear cutting process, which is the most common cutting technique in the sheet forming industry, is known for introducing damage to the cut edges of high strength metal. This damage may impair the forming- or fatigue properties of the material and can cause edge-cracking during forming or in-service part failure. The edge formability of a sheared edge is strongly linked with the appearance of large notches arising due to unfavorable process parameters. By numerical modelling of the shear cutting process with the possibility to vary important process parameters, the sheared edge damage can be detected and avoided in the manufacturing process. This work present numerical modelling of shear cutting in Advanced High Strength Steel using a novel Particle Finite Element Method approach. Numerical modelling of shear cutting processes over a large range of cutting clearances were conducted and validated against laboratory experiment results. The results showed that the PFEM modelling could detect the cut edge damages with the largest negative impact on formability, thus narrowing the feasible cutting clearance range.
Keywords
Shear Cutting, AHSS, PFEM
Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: SANDIN Olle, LAROUR Patrick, RODRÍGUEZ Juan Manuel, KAJBERG Jörgen, CASELLAS Daniel, Using the particle finite element method for predicting optimum shear cutting clearance, Materials Research Proceedings, Vol. 41, pp 1887-1896, 2024
DOI: https://doi.org/10.21741/9781644903131-209
The article was published as article 209 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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