Statistics-based classification of microbially influenced corrosion in freshwater systems

Peng, Ching‐Gang; Park, Jae K.; Patenaude, Robert W.

doi:10.1016/0043-1354(94)90104-x

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…These parameters also were found to be the predominant factors affecting MIC in a laboratory polarization study 16 and in a field study in which stepwise multiple regression was used to analyze 24 water qualityrelated parameters measured at more than 40 sites in Wisconsin. 17 where ŷ is the estimated corrosion rate and x 1 , x 2 , x 3 , and x 4 take the value -1 or +1, according to the factorial design signs in Figure 1. No direct estimate of the standard error for each effect was available from the 16 runs since there were replicates only for runs 4, 11, and 12.…”

Section: Discussionmentioning

confidence: 99%

Principal Factors Affecting Microbiologically Influenced Corrosion of Carbon Steel

Peng

Park

1994

CORROSION

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Laboratory-scale batch experiments (semicontinuously fed) were conducted using a two-level factorial experimental design to investigate principal factors and interactions affecting microbiologically influenced corrosion (MIC) of carbon (C) steel. Factors considered included the C source as chemical oxygen demand (COD), sulfate (SO 4 2-) concentration, calcium carbonate (CaCO 3 ) precipitation, and bacteria inoculation at 20°C. Yates' algorithm was applied to calculate main and interaction effects, and an empirical model indicating major trends was obtained. Experimental results showed CaCO 3 precipitation played a significant role in influencing the biocorrosion tendency of steel. In the supersaturated condition, SO 4 2concentration and bacterial inoculation had no appreciable effects on corrosion. In the undersaturated condition, the corrosion rate was affected significantly by SO 4 2concentration and bacterial inoculation. The effect of each factor on corrosion rate was explored.

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Section: Discussionmentioning

confidence: 99%

Principal Factors Affecting Microbiologically Influenced Corrosion of Carbon Steel

Peng

Park

1994

CORROSION

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“…In order to implement efficient monitoring and control strategies for the inhibition of biocorrosion, it is important to have knowledge of the microbial population responsible for this phenomenon, as well as interactions of different microorganisms with metallic surfaces [1][2][3][4][5][6][7][8]. In many industries, cooling towers are commonly used for heat transfer from recirculated water to the atmosphere, typically by means of trickling or spraying the water over a material with high surface area [9].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Corrosive Bacterial Consortia Isolated from Water in a Cooling Tower

Rajasekar

Ting

2014

ISRN Corrosion

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An analysis of a culturable corrosive bacterial community in water samples from a cooling tower was performed using traditional cultivation techniques and its identification based on 16S rRNA gene sequence. Seven aerobic bacterial species were identified: Pseudomonas putida ARTYP1, Pseudomonas aeruginosa ARTYP2, Massilia timonae ARTYP3, Massilia albidiflava ARTYP4, Pseudomonas mosselii ARTYP5, Massilia sp. ARTYP6, and Pseudomonas sp. ARTYP7. Although some of these species have commonly been observed and reported in biocorrosion studies, the genus Massilia is identified for the first time in water from a cooling tower. The biocorrosion behaviour of copper metal by the new species Massilia timonae ARTYP3 was selected for further investigation using a weight loss method, as well as electrochemical and surface analysis techniques (SEM, AFM, and FTIR). In contrast with an uninoculated system, thin bacterial biofilms and pitting corrosion were observed on the copper metal surface in the presence of M. timonae. The use of a biocide, bronopol, inhibited the formation of biofilm and pitting corrosion on the copper metal surface.

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“…Oil, gas and shipping industries are seriously affected by the sulfide generated by SRB (Battersby, 1988;Hamilton, 1994;Peng et al, 1994;Okabe et al, 1995;Cullimore, 2000). In the oil industry most monitoring of micro-biologically influenced corrosion (MIC) has been con-ducted by cultivation based techniques (Ghazy et al, 2011).…”

Section: Mementioning

confidence: 99%

Bio-corrosion of water pipeline by sulphate-reducing bacteria in a mining environment

Manafi¹,

Hashemi²,

Abdollahi³

et al. 2013

Afr. J. Biotechnol.

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Detrimental effects of corrosion in conjunction with bacterial activity in water pipeline systems have led to an increase in research in how to prevent such occurrences. In particular, sulphate-reducing bacteria (SRB), found in anaerobic conditions underneath the main corrosion shell, are noteworthy for their effects in promoting localized corrosion. This study investigates the presence of SRB in water, in a water pipeline and in the soil near the pipeline at a mining operation, under conditions that would be expected to be stable toward corrosion. Samples of water in pipes showed a high frequency of SRB. Cast iron coupons placed in pipes gave positive results for SRB colonization after only one month. Corrosion rates of the coupons increased in the presence of SRB, indicating microbially induced corrosion. Application of various biocides to control SRB was evaluated.

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Statistics-based classification of microbially influenced corrosion in freshwater systems

Cited by 9 publications

References 4 publications

Principal Factors Affecting Microbiologically Influenced Corrosion of Carbon Steel

Principal Factors Affecting Microbiologically Influenced Corrosion of Carbon Steel

Characterization of Corrosive Bacterial Consortia Isolated from Water in a Cooling Tower

Bio-corrosion of water pipeline by sulphate-reducing bacteria in a mining environment

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