Bibliographic Details
| Title: |
Oxidation Behavior of AlxHfNbTiVY0.05 Refractory High-Entropy Alloys at 700–900 °C. |
| Authors: |
Muhammad, Fadhli1,2,3 (AUTHOR) fadhlim_08@itb.ac.id, Sukhomlinov, Dmitry3 (AUTHOR), Klemettinen, Lassi3 (AUTHOR), Sibarani, David3 (AUTHOR), Basuki, Eddy Agus2 (AUTHOR), Lindberg, Daniel3 (AUTHOR), Taskinen, Pekka3 (AUTHOR), Korda, Akhmad Ardian2 (AUTHOR), Zulhan, Zulfiadi2 (AUTHOR), Prajitno, Djoko Hadi4 (AUTHOR) |
| Source: |
High Temperature Corrosion of Materials. Aug2024, Vol. 101 Issue 4, p755-778. 24p. |
| Subjects: |
Alloys, Oxidation kinetics, Refractory materials, Weight gain, Oxidation |
| Abstract: |
Refractory high-entropy alloys (RHEA) are considered as potential candidates for new-generation energy-related high-temperature applications. However, the poor high-temperature oxidation resistance of RHEAs, resulting in phenomena such as significant weight gain, scale spallation, pesting, and even complete oxidation, limits their applications. In this study, the oxidation behavior of AlxHfNbTiVY0.05 (x = 0.75; 1; 1.25) high-entropy alloys was investigated at 700–900 °C. The isothermal oxidation tests showed that the oxidation resistance of AlxHfNbTiVY0.05 RHEA is strongly influenced by temperature and time. In addition, accelerated oxidation, known as pesting, was observed to occur at 700 °C for all alloys; while, partial spallation was observed at 800 °C for the Al1 and Al1.25 alloys. Detailed analyses of oxidation kinetics have been carried out for the oxidation test series at 900 °C. The mechanism behind disintegration was investigated and attributed to accelerated internal oxidation followed by the formation of voluminous Nb2O5, TiNb2O7, and fast-growing AlNbO4, and is also thought to be related to the partial evaporation of V2O5. [ABSTRACT FROM AUTHOR] |
|
Copyright of High Temperature Corrosion of Materials is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |