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dc.contributor.authorAl-Darbi, Muhunnad Marouf.en_US
dc.date.accessioned2014-10-21T12:36:12Z
dc.date.available2004
dc.date.issued2004en_US
dc.identifier.otherAAINR02111en_US
dc.identifier.urihttp://hdl.handle.net/10222/54705
dc.descriptionCorrosion causes huge economic losses worldwide with an annual direct cost estimated to be in the hundreds of billions of dollars. More than 30% of this corrosion is microbiologically influenced corrosion (MIC). In the first part of this thesis, novel experiments were conducted to prevent MIC in several industrial applications.en_US
dc.descriptionThe effect of adding specific natural oils to the oil-based coatings on their performance in sulfate reducing bacteria (SRB) and marine environments were evaluated. It was observed that the addition of optimum amounts of some natural oils to the oil-based coatings enhanced their performance and protection efficiency and increased their degradation resistance against the aggressive environments. These findings can lead to the development of new generations of environmentally-friendly oil-based coatings.en_US
dc.descriptionThe antimicrobial effects of selected natural products against Shewanella putrefaciens bacteria and SRB which are known to be associated with MIC were evaluated. It was observed that both the black thorn ( Acacia nilotica) and garlic (Allium sativum) possess bacteriostatic and bactericidal effects against these bacteria.en_US
dc.descriptionThe second part of this thesis was devoted to the modeling and simulation of MIC in different corrosive environments. Modeling of corrosion problems has the advantages of calculating and predicting the corrosion rates quickly, cheaply and accurately, mainly in situations where it is dangerous, very difficult or impossible to do that experimentally. To develop a novel and comprehensive MIC model, three modeling steps were adopted.en_US
dc.descriptionThe transient two-dimensional pitting MIC model was developed to study and estimate the pitting MIC of steel in SRB environments. The SRB cathodic depolarization theory was adopted as the SRB-influenced corrosion mechanism and was used in developing the model. The pitting MIC model was applied to marine, waste, and freshwater environments. The effects of substrate (sulfate) concentrations and SRB kinetic parameters on the shape, growth rate and depth of the corroded pits were also evaluated. The pitting MIC model was found to be very successful in estimating and predicting the pitting MIC in all the three studied environments. The model results were also found to be in a very good agreement with the corresponding experimental data found in the literature. (Abstract shortened by UMI.)en_US
dc.descriptionThesis (Ph.D.)--Dalhousie University (Canada), 2004.en_US
dc.languageengen_US
dc.publisherDalhousie Universityen_US
dc.publisheren_US
dc.subjectEngineering, Chemical.en_US
dc.titleThe prevention and prediction of corrosion using novel methods.en_US
dc.typetexten_US
dc.contributor.degreePh.D.en_US
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