Meso-mechanics-based microstructural modelling approach to predict low cycle fatigue properties in additively manufactured alloys

Yun Hu, Youquan Wang,Jiangjing Xi, Ao Chen,Kamran Nikbin

Engineering Failure Analysis(2023)

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Abstract
•A meso-mechanics-based low cycle fatigue prediction model is established.•An idealized grain engineered meshing system is proposed.•The effect of notch acuities, randomly distributed void and elastic modulus on fatigue damage mechanism is researched.•The proposed model allows quantification of notch bar cracking rate and mode in AM metallic materials.
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Key words
Low cycle fatigue, Grain, Grain boundary, Voids, Elastic modulus, Additive manufacturing
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