|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||2018 Technical Division Student Poster Competition
||SPG-39: Prediction of Single Crystal Properties of Aluminum-Lithium Alloy Using a Stochastic Inverse Model
||Srihari Sundar, Pinar Acar, Veera Sundararaghavan
|On-Site Speaker (Planned)
Prediction of single crystal anisotropic properties accurately has always been a challenge, due to the unavailability of single crystal samples and cumbersome experimental techniques. In this work, we use polycrystalline elastic moduli of an aluminum-lithium aerospace alloy obtained using acoustic measurements, and the associated orientation information to obtain single crystal elastic parameters. The polycrystalline texture obtained from electron backscatter diffraction data is represented using an orientation distribution function in Rodrigues space. The statistical variations in texture are quantified using a Gaussian description. Samples of different thicknesses were tested leading to statistical variability in the polycrystalline moduli, which is modeled to be orthotropic. The inverse problem of estimating the single crystal moduli is addressed stochastically using a novel linear programming approach.