Evaluation of anisotropy of yield stress using surface in-plane displacements around an indentation residual imprint

• Published in: Materials science & engineering. A, Structural materials : properties, microstructure and processing Structural materials : properties, microstructure and processing, 2023-07, Vol.879, p.145220, Article 145220
• Main Authors: Lee, Junsang, Kwon, Oh Min, Lee, Kyungyul, Kim, Kyung Il, Kim, Soo-Hyun, Kim, Young-Cheon, Kwon, Dongil, Kim, Jong-hyoung, Kang, Seung-Kyun
• Format: Article
• Language: English
• Subjects: Anisotropy of materials; Digital image correlation; Finite element analysis; Mechanical properties; Spherical indentation; Surface displacement; Tensile properties
• ISSN: 0921-5093; 1873-4936
• DOI: 10.1016/j.msea.2023.145220

This study proposed a practical method to evaluate the anisotropy of yield stress using spherical indentation with in-plane surface radial displacements around residual imprint measured by the digital image correlation method for metallic material without indentation curve. The relation between the ratio of yield stresses and the in-plane displacements developed on the surface was analyzed using finite element method (FEM) simulations for the materials with various mechanical properties. The development of radial displacements depends on the anisotropy of the yield stresses, and the ratio between radial displacement values on principal directions has a strong relation with the anisotropy of the yield stresses. An analytical solution for predicting the ratio of yield stresses was developed and it was verified using experimental data with anisotropic materials. The results for various metallic materials showed the feasibility of the proposed model with good accuracy. •We estimated anisotropy of yield stresses using surface in-plane displacements after spherical indentation.•Ratio of surface radial displacements along principal directions has a strong relation with anisotropy of yield stresses.•Anisotropic materials were tested and the prediction of anisotropy of yield stresses using the proposed method show good accuracy within a 10% error.