Publication Cover
Corrosion Engineering, Science and Technology
The International Journal of Corrosion Processes and Corrosion Control
Volume 58, 2023 - Issue 8
120
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Topographical profiles and mechanical property of corrosion product films on a pipeline steel in Desulfovibrio vulgaris-containing thin electrolyte layer characterised by atomic force microscopy

, , , & ORCID Icon
Pages 775-786 | Received 28 Nov 2022, Accepted 07 Sep 2023, Published online: 19 Sep 2023
 

ABSTRACT

Internal corrosion of wet gas pipelines usually occurs in thin layers of water condensate with dissolved gases such as CO2, where a bacterial community can grow to cause microbiological corrosion. In this work, surface films generated during corrosion of an X52 pipeline steel under a CO2-containing thin electrolyte layer (TEL) in the absence and presence of Desulfovibrio vulgaris bacteria were characterised by atomic force microscopy. The film generated in the Desulfovibrio vulgaris-containing TEL, i.e. a mixture of FeS, FeCO3 and biopolymers, as compared with the film generated in the sterile TEL (i.e. FeCO3-dominant corrosion products), is topographically less compact and softer, with a reduced elastic modulus. After 7 days of immersion, the elastic modulus of the surface films generated in the sterile and D. vulgaris-containing TELs are 11.81 and 6.79 GPa, respectively.

Acknowledgements

This work was supported by Excellence in Doctoral Student Studies Program of the University of Science and Technology of China, and the University of Calgary, Canada.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by University of Science and Technology of China.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.