Integrated computational materials engineering of corrosion resistant alloys
Abstract
Structure, composition and surface properties dictate corrosion resistance in any given environment. The degrees of freedom in alloy design are too numerous in emerging materials such as high entropy alloys and bulk metallic glasses for the use of high-throughput methods or trial and error. We review three domains of knowledge that can be applied towards the goal of corrosion resistant alloy (CRA) design: (a) the aggregation of knowledge gained through experience in developing CRAs empirically, (b) data-driven approaches that use descriptive metrics for alloy composition optimization, and (c) first-principles models of elementary processes that regulate corrosion informed by theory and inspired by phenomenological models in the literature. A path forward for integrated computational materials engineering (ICME) of CRAs that unites these three knowledge domains is introduced.
- Authors:
-
- The Ohio State Univ., Columbus, OH (United States); DNV GL Columbus Inc., Dublin, OH (United States)
- QuesTek Innovations LLC, Evanston, IL (United States)
- The Ohio State Univ., Columbus, OH (United States)
- Univ. of Virginia, Charlottesville, VA (United States)
- Publication Date:
- Research Org.:
- The Ohio State Univ., Columbus, OH (United States). Energy Frontier Research Center (EFRC) Center for Performance and Design of Nuclear Waste Forms and Containers (WastePD)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1470156
- Grant/Contract Number:
- SC0016584
- Resource Type:
- Accepted Manuscript
- Journal Name:
- npj Materials Degradation
- Additional Journal Information:
- Journal Volume: 2; Journal Issue: 1; Journal ID: ISSN 2397-2106
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 42 ENGINEERING
Citation Formats
Taylor, Christopher D., Lu, Pin, Saal, James, Frankel, G. S., and Scully, J. R. Integrated computational materials engineering of corrosion resistant alloys. United States: N. p., 2018.
Web. doi:10.1038/s41529-018-0027-4.
Taylor, Christopher D., Lu, Pin, Saal, James, Frankel, G. S., & Scully, J. R. Integrated computational materials engineering of corrosion resistant alloys. United States. https://doi.org/10.1038/s41529-018-0027-4
Taylor, Christopher D., Lu, Pin, Saal, James, Frankel, G. S., and Scully, J. R. Tue .
"Integrated computational materials engineering of corrosion resistant alloys". United States. https://doi.org/10.1038/s41529-018-0027-4. https://www.osti.gov/servlets/purl/1470156.
@article{osti_1470156,
title = {Integrated computational materials engineering of corrosion resistant alloys},
author = {Taylor, Christopher D. and Lu, Pin and Saal, James and Frankel, G. S. and Scully, J. R.},
abstractNote = {Structure, composition and surface properties dictate corrosion resistance in any given environment. The degrees of freedom in alloy design are too numerous in emerging materials such as high entropy alloys and bulk metallic glasses for the use of high-throughput methods or trial and error. We review three domains of knowledge that can be applied towards the goal of corrosion resistant alloy (CRA) design: (a) the aggregation of knowledge gained through experience in developing CRAs empirically, (b) data-driven approaches that use descriptive metrics for alloy composition optimization, and (c) first-principles models of elementary processes that regulate corrosion informed by theory and inspired by phenomenological models in the literature. A path forward for integrated computational materials engineering (ICME) of CRAs that unites these three knowledge domains is introduced.},
doi = {10.1038/s41529-018-0027-4},
journal = {npj Materials Degradation},
number = 1,
volume = 2,
place = {United States},
year = {Tue Feb 20 00:00:00 EST 2018},
month = {Tue Feb 20 00:00:00 EST 2018}
}
Web of Science
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Works referencing / citing this record:
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