| About this Abstract |
| Meeting |
TMS Specialty Congress 2024
|
| Symposium
|
Accelerating Discovery for Mechanical Behavior of Materials 2024
|
| Presentation Title |
Impact of Microstructure on Mechanical Property and Multi-property Optimization in Porous Materials |
| Author(s) |
Longsheng Feng, Bo Wang, Sourav Chatterjee, Donglin Li, Natalie Anne Hwee, Sijia Huang, Jianchao Ye, Sangil Kim, Tae Wook Heo, Juergen Biener |
| On-Site Speaker (Planned) |
Longsheng Feng |
| Abstract Scope |
In the quest to enhance the performance of porous materials, understanding the intricate link between their microstructure and mechanical properties is crucial. Utilizing phase field simulations, we generate bicontinuous porous structures, coupled with a spectra-based perturbation method to evaluate their effective modulus. We identify key microstructural features that play a significant role in dictating local stress hotspots and overall mechanical performance. Further, an advanced machine learning model is developed to enable accurate prediction of these properties. Design methodologies are proposed to augment the mechanical characteristics of these materials. Our study also investigates multi-property co-optimization, which includes a thorough exploration of the interdependencies between mechanical and transport properties, underlining our commitment to the integrated design of multifunctional porous materials for targeted innovative applications. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. |
| Proceedings Inclusion? |
Definite: Other |