|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Computational Materials Discovery and Optimization: From 2D to Bulk Materials
||Microstructural Evolution of High Temperature Ni-Cr ODS Alloy: Genetic Algorithm Approach
||Aniket Kumar Dutt, Somayeh Pasebani, Indrajit Charit, Rajiv S Mishra
|On-Site Speaker (Planned)
||Aniket Kumar Dutt
Development of high temperature material is required to fulfill the need for advanced coal-power plants. In this study, a new computationally designed Ni-Cr alloy was developed using genetic algorithm approach based on phenomenological models. Nano-Y2O3 and sub-micron Al2O3 were added for dispersion and composite strengthening respectively. Genetic algorithm optimization was performed to optimize the size and volume fraction of dispersoids and reinforced particles and obtain excellent high temperature strength. Compression creep tests were performed at applied stress of 100 MPa and testing temperature of 800oC for experimental validation. The key target of creep rate of 10-9 s-1 was achieved for Ni-Cr ODS alloy. Transmission electron microscopy and 3D atom probe analysis were performed to establish the microstructural distribution of nano-dispersiods and alumina particles.
The support of the US Department of Energy (DOE) via a grant (DE-FE0008648) managed by the National Energy Technology Laboratory (NETL) is gratefully acknowledged.
||Planned: A print-only volume