|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Design and Simulation of Materials (CDSM 2018): Computational Design of Materials
||Multiscale Modeling for Systematic Design of Metallic Microstructures to Provide Resistance to Fatigue and Wear
||Anssi Laukkanen, Tom Andersson, Matti Lindroos, Tatu Pinomaa
|On-Site Speaker (Planned)
Computation driven design, tailoring and optimization of material microstructures is crucial for addressing industry needs for competitive and innovative material solutions for operating environments requiring ever more extreme performances. In current work we present a microstructural modeling framework supporting these objectives in addition to computational strategies for exploitation in material discovery and design for particularly fitness and performance metrics. The toolset consist of means to merge and generate material structures utilizing both statistical and imaging data, modifying the subsequent material features systematically and exploiting evolutionary computing for new material designs. Two cases are studied, one focusing on fatigue of metal additive manufacturing materials, the other on wear resistance of martensitic steel microstructures. The results demonstrate how multiscale materials modeling is taking steps to systematically deliver novel and competitive material solutions addressing key industry needs.
||Planned: Supplemental Proceedings volume