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Fatigue resistance of deep drawn parts: A scale bridging simulative study using representative volume elements and crystal plasticity simulations
FEHLEMANN Niklas, HENRICH Manuel, MÜLLER Martina, KÖNEMANN Markus, BERGS Thomas, MÜNSTERMANN Sebastian
download PDFAbstract. The mechanical properties of formed components are determined by the interaction between the microstructure and the load path of the forming process. To investigate and understand these effects, micromechanical simulation concepts can be used, such as statistically Representative Volume Elements (sRVE) coupled with crystal plasticity simulations. This study presents a concept that uses sRVE simulations to quantify the influence of three different deep drawing load paths on the fatigue resistance of DP800 steel. The first step is a scale-bridging simulation approach that employs macroscopic simulations of the deep drawing process to extract the boundary conditions for the sRVE simulations with Damask. Subsequent cyclic loading is then simulated. 50 sRVE are computed for each load path to estimate fatigue resistance based on a Fatigue Indicator Parameter. The results indicate that fatigue resistance increases with increasing deformation-induced strain hardening. Additionally, a positive correlation between the martensitic ligament structures and fatigue resistance was observed.
Keywords
Deep Drawing, Fatigue, Representative Volume Elements, Crystal Plasticity
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: FEHLEMANN Niklas, HENRICH Manuel, MÜLLER Martina, KÖNEMANN Markus, BERGS Thomas, MÜNSTERMANN Sebastian, Fatigue resistance of deep drawn parts: A scale bridging simulative study using representative volume elements and crystal plasticity simulations, Materials Research Proceedings, Vol. 41, pp 2134-2143, 2024
DOI: https://doi.org/10.21741/9781644903131-235
The article was published as article 235 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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