A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models

Two methods used to construct a microstructural representative volume element (RVE) were evaluated for their accuracy when used in a crystal plasticity-based finite element (CP-FE) model. The RVE-based CP-FE model has been shown to accurately predict the complete tensile stress–strain response of a...

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Bibliographic Details
Published in:Integrating materials and manufacturing innovation 2022-06, Vol.11 (2), p.214-229
Main Authors: Azhari, Fatemeh, Davids, William, Chen, Hansheng, Ringer, Simon P., Wallbrink, Chris, Sterjovski, Zoran, Crawford, Bruce R., Agius, Dylan, Wang, Chun H., Schaffer, Graham
Format: Article
Language:English
Subjects:
Accuracy
Characterization and Evaluation of Materials
Chemistry and Materials Science
Electron backscatter diffraction
Equivalence
Finite element method
Image reconstruction
Materials Science
Metallic Materials
Microstructure
Nanotechnology
Necking
Plastic properties
Powder beds
Strain
Structural Materials
Surfaces and Interfaces
Technical Article
Tensile stress
Thin Films
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Summary:Two methods used to construct a microstructural representative volume element (RVE) were evaluated for their accuracy when used in a crystal plasticity-based finite element (CP-FE) model. The RVE-based CP-FE model has been shown to accurately predict the complete tensile stress–strain response of a Ti–6Al–4V alloy manufactured by laser powder bed fusion. Each method utilized a different image-based technique to create a three-dimensional (3D) RVE from electron backscatter diffraction (EBSD) images. The first method, referred to as the realistic RVE (R-RVE), reconstructed a physical 3D microstructure of the alloy from a series of parallel EBSD images obtained using serial-sectioning (or slicing). The second method captures key information from three orthogonal EBSD images to create a statistically equivalent microstructural RVE (SERVE). Based on the R-RVEs and SERVEs, the CP-FE model was then used to predict the complete tensile stress–strain response of the alloy, including the post-necking damage progression. The accuracy of the predicted stress–strain responses using the R-RVEs and SERVEs was assessed, including the effects of each microstructure descriptor. The results show that the R-RVE and the SERVE offer comparable accuracy for the CP-FE purposes of this study.
ISSN:2193-9764
2193-9772
DOI:10.1007/s40192-022-00257-4