Approach for statistical analysis of oxide- and sulfate-induced hot corrosion of advanced alloys

Atharva S. Chikhalikar, Eeshani P. Godbole, David L. Poerschke

Research output: Contribution to journalArticlepeer-review

Abstract

This work develops an automated image and statistical analysis protocol to characterize and compare the effect of three deposits on the accelerated non-uniform degradation of a model alloy (FeCrAlY) at 1025 °C in dry air. Compared to the sample tested without a deposit, the Ca-containing mixed oxide deposit increased the frequency of oxide intrusions into the alloy. The CaSO4 and Ca-containing mixed sulfate deposits reacted with the thermally grown oxide (TGO) to form less-protective calcium aluminates and increased the roughness of the alloy-TGO interface. However, the mixed sulfate deposit melted and spread, increasing the uniformity of the attack.

Original languageEnglish (US)
Article number110892
JournalCorrosion Science
Volume211
DOIs
StatePublished - Feb 2023

Bibliographical note

Funding Information:
This research has been supported by the Office of Naval Research (Award number N68335-20-C-0472 monitored by Dr. David Shifler) in collaboration with QuesTek Innovations LLC. Part of this work was carried out in the Characterization Facility, College of Science and Engineering, University of Minnesota, which receives partial support from the NSF through the MRSEC (Award Number DMR-2011401 ) and the NNCI (Award Number ECCS-2025124 ) programs. The authors are grateful to Drs. Pin Lu, Changning Niu, and Jiadong Gong (QuesTek Innovations LLC) for the insightful discussions.

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • A. Sulfates
  • B. Image analysis
  • B. Scanning Electron Microscopy
  • B. Statistics
  • C. High Temperature Corrosion

How much support was provided by MRSEC?

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