2021 Image https://fordatis.fraunhofer.de/handle/fordatis/224
http://dx.doi.org/10.24406/fordatis/151

Experimental and Computational Micromechanical Fatigue Damage Initiation Data

Durmaz, Ali Riza (Fraunhofer-Institut für Werkstoffmechanik IWM); Natkowski, Erik (Robert Bosch GmbH)

IWM Fraunhofer-Institut für Werkstoffmechanik
Files in This Item:
FileDescriptionSizeFormat 
macroscopic_testing.zip65,67 kBZIPDownload/Open
ebsd.ang133,31 MBUnknownDownload/Open
sem_after_fatigue.tif565,72 MBTIFFDownload/Open
specimen_geom_bc.zip31,96 kBZIPDownload/Open
threshold_mask.mat10,3 MBUnknownDownload/Open
image_time_series.mat15,85 GBUnknownDownload/Open
Mesh.inp329,05 MBUnknownDownload/Open
RVE.7z.0022,8 GBUnknownDownload/Open
macro_P8_new.odb16,81 GBUnknownDownload/Open
RVE.7z.00110,24 GBUnknownDownload/Open
foreground_mask.mat134,44 kBUnknownDownload/Open
fatigue_data_red.mat8,57 MBUnknownDownload/Open
image_time_series_red.mat1,14 GBUnknownDownload/Open
fatigue_data.mat17,86 MBUnknownDownload/Open
sem_damage_mask.tif565,72 MBTIFFDownload/Open

Abstract

A dataset composed of experimental and computational data for microstructure-sensitive fatigue modeling. Micromechanical fatigue testing in the very high cycle fatigue regime, complementary analytical techniques (SEM, EBSD), multimodal data registration, deep learning damage segmentation, and crystal plasticity finite element method techniques were applied to create this dataset.
Classification
518 Numerische Analysis
531 Klassische Mechanik, Festkörpermechanik
620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
621 Angewandte Physik
672 Eisen, Stahl, andere Eisenlegierungen
Keywords
Micromechanics
Validation
Multi-modal registration
Experimental data
Computational data
Show full item record


This item is licensed under a Creative Commons License Creative Commons