|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Uncertainty reduction of profilometry-based indentation plastometry using optical profilometry
||Astrid Michelle Rodriguez Negron, Denny John , Abhijith Sukumaran, Arvind Agarwal, Aaron Tallman
|On-Site Speaker (Planned)
||Astrid Michelle Rodriguez Negron
A rich, high-quality data set of metal deformation is necessary to calibrate microstructure sensitive elasto-plastic models. Profilometry-based indentation plastometry (PIP) can be used to study spatial variation in bulk plastic response; however, uncertainty in PIP tests can significantly impede accurate estimation of the variability. PIP relies on a finite element method simulation and a constitutive model of plasticity to calibrate plasticity parameters to the profile of the spherical indentation in an iterative fitting procedure. Here, the uncertainty of the PIP procedure is mitigated to enable the estimation of spatial variability of bulk plastic response at the mm length scale. 2D profile measurements taken by optical profilometry (OP) augment the 1D profiles of the standard PIP method. The uncertainty of both procedures is quantified. Whether PIP is an appropriate test for capturing the variations in plastic response is discussed.
||Planned: Other (describe below)