Abstract
The current work aims to build on previous related work to address the evident lack of predictive models to accurately describe the corrosion behavior of candidate structural materials for MSRs as a function of salt chemistry, alloy composition. Successful implementation of the demonstrated model requires key experimental information such as dissolution rates of key alloying elements (e.g., Cr, Fe and Ni) in relevant salts. These experiments are currently being conducted to establish a novel computation-assisted framework to design corrosion resistant alloys for molten salts applications.
| Original language | English |
|---|---|
| Pages (from-to) | 371-372 |
| Number of pages | 2 |
| Journal | Transactions of the American Nuclear Society |
| Volume | 126 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 Transactions of the American Nuclear Society Annual Meeting, ANS 2022 - Anaheim, United States Duration: Jun 12 2022 → Jun 16 2022 |
Funding
This am nu cript has bee n atu hored by TU -Battelle, LL,C under contract DE -AC05 -00OR72 5 with the S U Department of nE ergy (DOE.) The US governem nt retains and the pblisher, by accepting the article for pu lication, acknoledges that the SU governem nt retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reprodcu e the published form of this anusm cript, or allow others to do so, for SU government purposes. DOE illw provide pu lic access to these resu of ef derally sponsored research in accordance with the DOE Public Access Plan ( httpe//: nergy.gov/donw loads/doe -pu lic access-plan.)