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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. The authors 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:
; ;  [1];  [2]
  1. Argonne National Lab., IL (United States)
  2. Bioindustrial Technologies, Inc., Georgetown, TX (United States)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL
OSTI Identifier:
696904
Report Number(s):
CONF-990401-
TRN: IM9946%%290
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: Corrosion 1999 conference, San Antonio, TX (United States), 25 Apr 1999; Other Information: DN: 1 CD-ROM. Operating Systems: Windows 3.1, `95, `98 and NT; Macintosh; and UNIX; PBD: 1999; Related Information: Is Part Of Corrosion 99: Proceedings; PB: [3500] p.
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 03 NATURAL GAS; 02 PETROLEUM; METALS; ON-LINE MEASUREMENT SYSTEMS; ELECTROCHEMISTRY; DIAGNOSTIC TECHNIQUES; PITTING CORROSION; BIOLOGICAL FOULING; DATA ACQUISITION SYSTEMS; ELECTRIC POTENTIAL; ELECTRIC CURRENTS; DATA ANALYSIS; CORROSION INHIBITORS

Citation Formats

Lin, Y., Frank, J.R., St. Martin, E.J., and Pope, D.H. Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system. United States: N. p., 1999. Web.
Lin, Y., Frank, J.R., St. Martin, E.J., & Pope, D.H. Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system. United States.
Lin, Y., Frank, J.R., St. Martin, E.J., and Pope, D.H. Mon . "Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system". United States. doi:.
@article{osti_696904,
title = {Electrochemical noise measurements of sustained microbially influenced pitting corrosion in a laboratory flow loop system},
author = {Lin, Y. and Frank, J.R. and St. Martin, E.J. and Pope, D.H.},
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. The authors 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 = {Mon Nov 01 00:00:00 EST 1999},
month = {Mon Nov 01 00:00:00 EST 1999}
}

Conference:
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