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Title: Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system.

Abstract

Because of the chaotic nature of the corrosion process and the complexity of the electrochemical noise signals that are generated, there is no generally accepted method of measuring and interpreting these signals that allows the consistent detection and identification of sustained localized pitting (SLP) as compared to general corrosion. We have reexamined electrochemical noise analysis (ENA) of localized corrosion using different hardware, signal collection, and signal processing designs than those used in conventional ENA techniques. The new data acquisition system was designed to identify and monitor the progress of SLP by analyzing the power spectral density (PSD) of the trend of the corrosion current noise level (CNL) and potential noise level (PNL). Each CNL and PNL data point was calculated from the root-mean- square value of the ac components of current and potential fluctuation signals, which were measured simultaneously during a short time period. The PSD analysis results consistently demonstrated that the trends of PNL and CNL contain information that can be used to differentiate between SLP and general corrosion mechanisms. The degree of linear slope in the low-frequency portion of the PSD analysis was correlated with the SLP process. Laboratory metal coupons as well as commercial corrosion probes weremore » tested to ensure the reproducibility and consistency of the results. The on-line monitoring capability of this new ENA method was evaluated in a bench-scale flow-loop system, which simulated microbially influenced corrosion (MIC) activity. The conditions in the test flow-loop system were controlled by the addition of microbes and different substrates to favor accelerated corrosion. The ENA results demonstrated that this in-situ corrosion monitoring system could effectively identify SLP corrosion associated with MIC, compared to a more uniform general corrosion mechanism. A reduction in SLP activity could be clearly detected by the ENA monitoring system when a corrosion inhibitor was added into one of the test loops during the corrosion testing.« less

Authors:
Publication Date:
Research Org.:
Argonne National Lab., IL (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
11217
Report Number(s):
ANL/ES/CP-98177
TRN: AH200128%%669
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: Corrosion/99, Annual Conference and Exposition, San Antonio, TX (US), 04/25/1999--04/29/1999; Other Information: PBD: 13 Jan 1999
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 36 MATERIALS SCIENCE; CORROSION INHIBITORS; DATA ACQUISITION SYSTEMS; FLUCTUATIONS; PITTING CORROSION; BIOLOGICAL FOULING; DETECTION; CORROSION PRODUCTS; ACOUSTIC EMISSION TESTING; SPECTRAL DENSITY; SUBSTRATES

Citation Formats

Lin, Y. J. Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system.. United States: N. p., 1999. Web.
Lin, Y. J. Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system.. United States.
Lin, Y. J. Wed . "Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system.". United States. doi:. https://www.osti.gov/servlets/purl/11217.
@article{osti_11217,
title = {Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system.},
author = {Lin, Y. J.},
abstractNote = {Because of the chaotic nature of the corrosion process and the complexity of the electrochemical noise signals that are generated, there is no generally accepted method of measuring and interpreting these signals that allows the consistent detection and identification of sustained localized pitting (SLP) as compared to general corrosion. We have reexamined electrochemical noise analysis (ENA) of localized corrosion using different hardware, signal collection, and signal processing designs than those used in conventional ENA techniques. The new data acquisition system was designed to identify and monitor the progress of SLP by analyzing the power spectral density (PSD) of the trend of the corrosion current noise level (CNL) and potential noise level (PNL). Each CNL and PNL data point was calculated from the root-mean- square value of the ac components of current and potential fluctuation signals, which were measured simultaneously during a short time period. The PSD analysis results consistently demonstrated that the trends of PNL and CNL contain information that can be used to differentiate between SLP and general corrosion mechanisms. The degree of linear slope in the low-frequency portion of the PSD analysis was correlated with the SLP process. Laboratory metal coupons as well as commercial corrosion probes were tested to ensure the reproducibility and consistency of the results. The on-line monitoring capability of this new ENA method was evaluated in a bench-scale flow-loop system, which simulated microbially influenced corrosion (MIC) activity. The conditions in the test flow-loop system were controlled by the addition of microbes and different substrates to favor accelerated corrosion. The ENA results demonstrated that this in-situ corrosion monitoring system could effectively identify SLP corrosion associated with MIC, compared to a more uniform general corrosion mechanism. A reduction in SLP activity could be clearly detected by the ENA monitoring system when a corrosion inhibitor was added into one of the test loops during the corrosion testing.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 13 00:00:00 EST 1999},
month = {Wed Jan 13 00:00:00 EST 1999}
}

Conference:
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