activity
20202024
most citedMacroscale fracture surface segmentation via semi-supervised learning considering the structural similarity

21 citations · 23 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG202421 cited

Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity

Johannes Rosenberger, Johannes Tlatlik, Sebastian Münstermann

To this date the safety assessment of materials, used for example in the nuclear power sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts, whe…

eess.SY2023

Monitoring the evolution of dimensional accuracy and product properties in property-controlled forming processes

Sophie Charlotte Stebner, Juri Martschin, Bahman Arian +14

As recent trends in manufacturing engineering disciplines show a clear development in the sustainable as well as economically efficient design of forming processes, monitoring tech…

cond-mat.mtrl-sci20212 cited

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

Ali Riza Durmaz, Erik Natkowski, Nikolai Arnaudov +5

Crack initiation governs high cycle fatigue life and is susceptible to microstructural details. While corresponding microstructure-sensitive models are available, their validation…

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…