Barker, R orcid.org/0000-0002-5106-6929, Pickles, B, Kapur, N orcid.org/0000-0003-1041-8390 et al. (3 more authors) (2018) Flow cell apparatus for quantitative evaluation of carbon steel corrosion during transitions in fluid composition: Application to transition from inhibited hydrochloric acid to sodium chloride brine. Corrosion Science, 138. pp. 116-129. ISSN 0010-938X
Abstract
This paper introduces a new flow cell technique that offers the advantage of real-time corrosion rate behaviour acquired as transitions in fluid chemistry occur using in situ electrochemistry. The present study quantifies the corrosion behaviour of a metal surface initially exposed to inhibited acid and subsequently exposed to a model formation brine. The design, optimisation and validation of the flow cell set-up is discussed. Results from initial tests show that inhibition efficiency and steel corrosion rate change significantly during the dilution process as the inhibitor film experiences concomitant changes in the “external” concentrations of acid and propargyl alcohol inhibitor.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. This is an author produced version of a paper published in Corrosion Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Acid solutions (A); Carbon steel (A); Electrochemical calculation (B); Weight loss (B); Acid corrosion inhibitor (C) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Functional Surfaces (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2018 10:24 |
Last Modified: | 09 Apr 2019 00:43 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.corsci.2018.04.012 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130232 |