Affiliation:
1. College of Materials Science and Engineering, Jilin University, Changchun 130022, China
Abstract
This study proposes a method for determining aluminum alloys’ yield stress and hardening index based on indentation experiments and finite element simulations. Firstly, the dimensionless analysis of indentation variables was performed on three different aluminum alloys using the same maximum indentation depth to obtain load-displacement curves. Then, laser confocal microscopy was used to observe the residual indentation morphology. And four dimensionless parameters were derived from the load-displacement curves while another dimensionless parameter was obtained from the projection area of the contact zone. Subsequently, a genetic algorithm was employed to solve these five dimensionless parameters and estimate the yield stress and hardening index. Finally, the predicted results are compared with uniaxial tensile experiments and the results obtained are essentially the same. The yield stress and hardening index can be predicted using this method. And an example is used to verify that this method enables predictions for unidentified “mysterious material” and the expected results agree with the experiments.
Reference40 articles.
1. Tabor, D. (1951). Monographs on the Physics and Chemistry of Materials, Oxford University Press.
2. Correlation of indentation experiments;Johnson;J. Mech. Phys. Solids,1970
3. Inconsistent nanoindentation test hardness using different Berkovich indenters;Zhang;J. Mater. Res. Technol.,2023
4. Niu, J., Miao, B., Guo, J., Ding, Z., He, Y., Chi, Z., Wang, F., and Ma, X. (2024). Leveraging Deep Neural Networks for Estimating Vickers Hardness from Nanoindentation Hardness. Materials, 17.
5. Towards a reliable nanohardness-dose correlation of ion-irradiated materials from nanoindentation tests: A case study in proton-irradiated vanadium;Chen;Int. J. Plast.,2023