Quantitative evaluation of general corrosion of Type 304 stainless steel in subcritical and supercritical aqueous solutions via electrochemical noise anlysis

X. Y. Zhou, S. N. Lvov, X. J. Wei, L. G. Benning, D. D. Macdonald

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

Electrochemical noise (EN) sensors have been developed to measure the corrosion rate of Type 304 stainless steel (SS) in subcritical and supercritical environments. The EN sensors were tested in flowing aqueous solutions containing NaCl and HCl at temperatures from 150°C to 390°C, a pressure of 25 MPa, and flow rates from 0.375 to 1.00 ml/min. The potential and coupling current noise were recorded simultaneously and the noise resistance (Rn) was calculated from the standard deviations in the potential and current records. We found that the inverse noise resistance correlated very well with the corrosion rate evaluated from separate mass loss experiments, and that both the inverse noise resistance and the average corrosion rate were functions of temperature and flow rate. In the temperature range from 200°C to 390°C, the corrosion rate was found to be proportional to the inverse noise resistance and hence the Stern-Geary relationship can be used to evaluate the corrosion rate. However, at 150°C, the relation between inverse noise resistance and corrosion rate significantly deviated from the Stern-Geary relationship. It was found that the deviation was related to the low corrosion rate of Type 304 SS and 150°C.

Original languageEnglish (US)
Pages (from-to)841-860
Number of pages20
JournalCorrosion Science
Volume44
Issue number4
DOIs
StatePublished - Apr 2002

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering
  • General Materials Science

Fingerprint

Dive into the research topics of 'Quantitative evaluation of general corrosion of Type 304 stainless steel in subcritical and supercritical aqueous solutions via electrochemical noise anlysis'. Together they form a unique fingerprint.

Cite this