|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Advanced Characterization Techniques for Quantifying and Modeling Deformation Mechanisms
||Parameter Estimation in Crystal Plasticity Based Material Models
||Aritra Chakraborty, Philip Eisenlohr
|On-Site Speaker (Planned)
Predicting deformation behavior based on external load relies on constitutive descriptions through material models. To capture the inherent deformation anisotropy, crystal plasticity simulations have proved efficient. Efficacy critically depends on the accurate determination of constitutive parameters used in these models. Generally, such problems are ill-posed due to the strongly non-linear model equations. The direct estimation of such parameters from experiments (such as slip trace analysis) is challenging and results vary with experimental conditions. To overcome such uncertainty, an efficient inverse optimization approach is suggested to estimate constitutive parameters by comparing simulated and experimental responses to single crystal indentation. Robustness of such an approach is tested by applying it to different crystal lattice systems. Success of such a study would not only give us directions for estimating constitutive parameters with confidence but also increase our general understanding of the underlying physics. Support through NSF grant DMR-1411102 is gratefully acknowledged.
||Planned: Supplemental Proceedings volume