Shakedown limit of 316L stainless steel manufactured by laser powder bed fusion based on crystal plasticity enhanced direct cyclic analysis

• Microstructural sensitive modelling of 316L stainless steel manufactured by laser powder bed fusion was performed, considering the statistics of grains, lack of fusion defects, and critical resolved shear stress (CRSS) from heterogeneous dislocation cells. • The effect of the hierarchical microstructure on the shakedown limit and the scatter was revealed for the first time by the statistics of multiscale modelling based on crystal plasticity enhanced direct cyclic analysis. • Complicated interactions between the lack of fusion defects and surrounding grains with different orientations, shapes, and CRSS comprehensively determine the shakedown limit. • For the two materials manufactured at the different preheating temperatures of the building platform, defect size and various CRSS from different dislocation cells mainly result in the differences in the shakedown limit and the scatter. Fatigue modelling of metals is essential for accurate prediction of fatigue strength and fatigue life which ensures structural integrity and reliability. The fatigue performance of additively manufactured metals, such as laser powder bed fusion (PBF-LB/M) 316L stainless steel (SS), is highly dependent on the microstructure, making microstructural sensitive models crucial for the modelling. To overcome the expensive computation by traditional incremental analysis, crystal plasticity enhanced direct cyclic analysis was performed to efficiently predict the shakedown limit, i.e. fatigue limit, of PBF-LB/M 316L SS in this work. Statistically equivalent representative volume elements (SERVEs) of the two materials produced with different preheating platform temperatures were generated considering the features of grains and lack of fusion defects. The model parameters were determined and calibrated at microscopic and macroscopic levels. The effect of different dislocation cells on the critical resolved shear stress (CRSS) was incorporated in the model. The statistics of the shakedown limit of the SERVEs show that the defects and the surrounding complex grain interaction resulting from the differences in orientations, shapes, and CRSS comprehensively determine the shakedown limit. The shakedown limit of the two materials is compared with respect to the hierarchical microstructure. A preliminary correlation between the modelled fatigue limit, the CRSS, and the material porosity is proposed. This work advances microstructural sensitive fatigue modelling to improve the fatigue limit prediction for PBF-LB/M 316L SS in aerospace, transportation and medical applications.

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Publication Details

Journal
International Journal of Fatigue
Published
2025-10-09
DOI
https://doi.org/10.1016/j.ijfatigue.2025.109325
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.71
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article

Shakedown limit of 316L stainless steel manufactured by laser powder bed fusion based on crystal plasticity enhanced direct cyclic analysis

Xuemei Lyu, Christoph Broeckmann, Felix Weber, Jiali Zhang et al.
1 citations
International Journal of Fatigue
Additive Manufacturing Materials and Processes
0.71
article

Shakedown limit of 316L stainless steel manufactured by laser powder bed fusion based on crystal plasticity enhanced direct cyclic analysis

Xuemei Lyu, Christoph Broeckmann, Felix Weber, Jiali Zhang, Tobias Sedlatschek, Geng Chen
article en
1 citations

Abstract

• Microstructural sensitive modelling of 316L stainless steel manufactured by laser powder bed fusion was performed, considering the statistics of grains, lack of fusion defects, and critical resolved shear stress (CRSS) from heterogeneous dislocation cells. • The effect of the hierarchical microstructure on the shakedown limit and the scatter was revealed for the first time by the statistics of multiscale modelling based on crystal plasticity enhanced direct cyclic analysis. • Complicated interactions between the lack of fusion defects and surrounding grains with different orientations, shapes, and CRSS comprehensively determine the shakedown limit. • For the two materials manufactured at the different preheating temperatures of the building platform, defect size and various CRSS from different dislocation cells mainly result in the differences in the shakedown limit and the scatter. Fatigue modelling of metals is essential for accurate prediction of fatigue strength and fatigue life which ensures structural integrity and reliability. The fatigue performance of additively manufactured metals, such as laser powder bed fusion (PBF-LB/M) 316L stainless steel (SS), is highly dependent on the microstructure, making microstructural sensitive models crucial for the modelling. To overcome the expensive computation by traditional incremental analysis, crystal plasticity enhanced direct cyclic analysis was performed to efficiently predict the shakedown limit, i.e. fatigue limit, of PBF-LB/M 316L SS in this work. Statistically equivalent representative volume elements (SERVEs) of the two materials produced with different preheating platform temperatures were generated considering the features of grains and lack of fusion defects. The model parameters were determined and calibrated at microscopic and macroscopic levels. The effect of different dislocation cells on the critical resolved shear stress (CRSS) was incorporated in the model. The statistics of the shakedown limit of the SERVEs show that the defects and the surrounding complex grain interaction resulting from the differences in orientations, shapes, and CRSS comprehensively determine the shakedown limit. The shakedown limit of the two materials is compared with respect to the hierarchical microstructure. A preliminary correlation between the modelled fatigue limit, the CRSS, and the material porosity is proposed. This work advances microstructural sensitive fatigue modelling to improve the fatigue limit prediction for PBF-LB/M 316L SS in aerospace, transportation and medical applications.

International Journal of FatigueVol. 203
Beijing Jiaotong University (CN), RWTH Aachen University (DE)
Openalex Percentile: Top 26%
Additive Manufacturing Materials and Processes
0.71
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