Extending the Passive Region of CrFeNi-Based High Entropy Alloys Show others and affiliations
2023 (English) In: Advanced Functional Materials, ISSN 1616-301X, E-ISSN 1616-3028, Vol. 33, no 51, article id 2307897Article in journal (Refereed) Published
Abstract [en]
This study provides principles for designing new corrosion resistant high entropy alloys. The theoretical framework is a percolation model developed by Newman and Sieradzki that predicts the ability of an alloy to passivate, i.e., to form a protective surface oxide, based on its composition. Here, their model is applied to more complex materials than previously, namely amorphous CrFeNiTa and CrFeNiW alloys. Furthermore, the model describes a more complex passivation process: reforming the oxide layer above the transpassive potential of Cr. The model is used to predict the lowest concentration of Ta or W required to extend the passive region, yielding 11–14 at% Ta and 14–17 at% W. For CrFeNiTa, experiments reveal a threshold value of 13–15 at% Ta, which agrees with the prediction. For CrFeNiW, the experimentally determined threshold value is 37–45 at% W, far above the predicted value. Further investigations explore why the percolation model fails to describe the CrFeNiW system; key factors are the higher nobility and the pH sensitivity of W. These results demonstrate some limitations of the percolation model and offer complementary passivation criteria, while providing a design route for combining the properties of the 3d transition metal and refractory metal groups.
Place, publisher, year, edition, pages John Wiley and Sons Inc , 2023. Vol. 33, no 51, article id 2307897
Keywords [en]
Cobalt alloys; Corrosion resistance; Entropy; Functional materials; High-entropy alloys; Iron alloys; Passivation; Refractory metals; Tantalum alloys; Ternary alloys; Complex materials; Corrosion-resistant; High entropy alloys; Materials design; Passivation process; Percolation models; Percolation theory; Surface oxide; Theoretical framework; Threshold-value; Solvents
National Category
Materials Chemistry
Identifiers URN: urn:nbn:se:ri:diva-67359 DOI: 10.1002/adfm.202307897 Scopus ID: 2-s2.0-85170376146 OAI: oai:DiVA.org:ri-67359 DiVA, id: diva2:1799412
Note The authors acknowledged Myfab Uppsala for providing facilities and experimental support. Myfab is funded by the Swedish Research Council (2019‐00207) as a national research infrastructure. This study was performed in the framework of the competence center FunMat‐II which is financially supported by Vinnova (Grant No. 2016‐05156). L.M. and P.L. acknowledged the funding from Swedish Foundation for Strategic Research (Project No. ARC19‐0026) and the Smart Industry Sweden project funded by the Swedish Knowledge Foundation.
2023-09-222023-09-222024-06-10 Bibliographically approved