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20182020
most citedPrediction of void evolution in sheet bending based on statistically representative microstructural data for the Gurson-Tvergaard-Needleman model

2 citations · 2 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci20202 cited

Prediction of void evolution in sheet bending based on statistically representative microstructural data for the Gurson-Tvergaard-Needleman model

Alexander Schowtjak, Carl F. Kusche, Rickmer Meya +4

Ductile damage in sheet steels is caused by voids. It is crucial for product design to predict the distribution of voids in bent components. Since the void volume fraction is a sta…

cond-mat.mtrl-sci2020

On the effect of strain and triaxiality on void evolution in a heterogeneous microstructure -- A statistical and single void study of damage in DP800

Carl F. Kusche, Felix Pütz, Sebastian Münstermann +2

In order to improve the understanding of damage evolution in mechanically heterogeneous microstructures, like the ones of dual-phase steels, the influence of the applied stress sta…

cond-mat.mtrl-sci2019

Strain heterogeneity and micro-damage nucleation under tensile stresses in an Mg-5Al-3Ca alloy with an intermetallic skeleton

Muhammad Zubair, Stefanie Sandlöbes-Haut, Max A. Wollenweber +4

Strain heterogeneity at the microstructural level plays a vital role in the deformation and fracture behaviour of dual or multi-phase materials. In the present work, the strain het…

cond-mat.mtrl-sci2018

High-resolution, yet statistically relevant, analysis of damage in DP steel using artificial intelligence

Carl Kusche, Tom Reclik, Martina Freund +3

High performance materials, from natural bone over ancient damascene steel to modern superalloys, typically possess a complex structure at the microscale. Their properties exceed t…