Predicting microstructurally sensitive fatigue‐crack path in WE43 magnesium using high‐fidelity numerical modeling and three‐dimensional experimental characterization

Author:

Phung Brian R.1ORCID,Greeley Duncan A.2,Yaghoobi Mohammadreza2,Adams Jacob F.2,Allison John E.2,Spear Ashley D.1ORCID

Affiliation:

1. Department of Mechanical Engineering University of Utah Salt Lake City Utah USA

2. Department of Materials Science and Engineering University of Michigan Ann Arbor Michigan USA

Abstract

AbstractMicrostructurally small fatigue‐crack growth in polycrystalline materials is highly three‐dimensional due to sensitivity to local microstructural features (e.g., grains). One requirement for modeling microstructurally sensitive crack propagation is establishing the criteria that govern crack evolution, including crack deflection. Here, a high‐fidelity finite‐element modeling framework is used to assess the performance and validity of various crack‐growth criteria, including slip‐based metrics (e.g., fatigue‐indicator parameters), as potential criteria for predicting three‐dimensional crack paths in polycrystalline materials. The modeling framework represents cracks as geometrically explicit discontinuities and involves voxel‐based remeshing, mesh‐gradation control, and a crystal‐plasticity constitutive model. The predictions are compared to experimental measurements of WE43 magnesium samples subject to fatigue loading, for which three‐dimensional grain structures and fatigue‐crack surfaces were measured post‐mortem using near‐field high‐energy x‐ray diffraction microscopy and x‐ray computed tomography. Findings from this work are expected to improve the predictive capabilities of simulations involving microstructurally small fatigue‐crack growth in polycrystalline materials.

Funder

National Science Foundation

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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