Xuemei Lyu , Felix Weber , Geng Chen , Jiali Zhang , Tobias Sedlatschek , Christoph Broeckmann
{"title":"基于晶体塑性增强直接循环分析的激光粉末床熔合316L不锈钢安定极限","authors":"Xuemei Lyu , Felix Weber , Geng Chen , Jiali Zhang , Tobias Sedlatschek , Christoph Broeckmann","doi":"10.1016/j.ijfatigue.2025.109325","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"203 ","pages":"Article 109325"},"PeriodicalIF":6.8000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Shakedown limit of 316L stainless steel manufactured by laser powder bed fusion based on crystal plasticity enhanced direct cyclic analysis\",\"authors\":\"Xuemei Lyu , Felix Weber , Geng Chen , Jiali Zhang , Tobias Sedlatschek , Christoph Broeckmann\",\"doi\":\"10.1016/j.ijfatigue.2025.109325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"203 \",\"pages\":\"Article 109325\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fatigue\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142112325005225\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325005225","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Shakedown limit of 316L stainless steel manufactured by laser powder bed fusion based on crystal plasticity enhanced direct cyclic analysis
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.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.