Biallas A, Häckel A, Merklein M (2026)
Publication Language: English
Publication Type: Journal article
Publication year: 2026
Book Volume: 71
Pages Range: 203-220
DOI: 10.1016/j.cirpj.2026.09.011
Open Access Link: https://authors.elsevier.com/sd/article/S1755581726001707
The innovative process chain for steel fiber production based on sheet metal by notch rolling and fulling shows great potential, but requires further analysis of the process steps’ interactions for fundamental process understanding and design. Given their high variability, the analysis based on simulations offers a viable approach, requiring a sufficient damage model to predict material failure of notched sheet metal under cyclic bending load. Material parameters of damage models are often determined inversely based on characterization tests, ignoring their physical meaning. After further calibration, no pure material- but process-dependent parameters result. In addition to the conventional approach, considering the Lemaitre and GISSMO damage models, the study at hand introduces an alternative inverse parameter identification of the Lemaitre damage parameters based on the process itself, accepting that no pure material parameters and no broadly applicable model are retained. Both methods for parameter identification, conventional and process-referred, are applied for cyclic bending of stamped DP600 wire strip. The evaluation based on the comparison of simulative and experimental torque courses during cyclic bending shows that the Lemaitre model determined by the process itself reaches good agreement due to comparable stress state of high triaxiality. The conventionally determined GISSMO damage model and the Lemaitre model determined by tensile test show significant deviations. The agreement of the conventionally determined Lemaitre model could be improved by considering a notch tensile test as reference during inverse identification, causing a different state of stress triaxiality, but still process-referred method proved more effective by requiring less experimental effort for target-oriented modeling in engineering applications.
APA:
Biallas, A., Häckel, A., & Merklein, M. (2026). Process-referred ductile damage parameter identification approaches for modelling crack propagation during cyclic bending of DP600 wire strip. CIRP Journal of Manufacturing Science and Technology, 71, 203-220. https://doi.org/10.1016/j.cirpj.2026.09.011
MLA:
Biallas, Alina, Adam Häckel, and Marion Merklein. "Process-referred ductile damage parameter identification approaches for modelling crack propagation during cyclic bending of DP600 wire strip." CIRP Journal of Manufacturing Science and Technology 71 (2026): 203-220.
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