|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Materials Discovery and Optimization
||Structure-property Linkages for Porous Membranes Using the Materials Knowledge Systems Framework
||Yuksel Yabansu, Patrick Altschuh, Johannes Hötzer, Britta Nestler, Surya R Kalidindi
|On-Site Speaker (Planned)
Porous membranes have been widely used in filtration applications of medical and environmental processes. The complex features of the porous structures in the membranes play a critical role in controlling their permeability and filtration characteristics. However, the porous membranes have so far been quantified mainly in terms of primitive structural features such as porosity. In this study, we demonstrate the benefits of the application of Materials Knowledge Systems (MKS) framework to quantify the membrane pore structures and extract the high value structure-property linkages. The data sets used included both experimental measurements obtained with micro-CT as well as synthetic structures generated with a novel membrane generator. The structures were quantified using 2-point spatial correlations and principal component analyses. The property considered was the effective permeability obtained through flow simulations.
||Planned: Supplemental Proceedings volume