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Prediction of corrosion behavior of mild steel in different Sri Lankan atmospheric conditions

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dc.contributor.advisor Munasinghe, RGN De S
dc.contributor.author Adikari, AAMT
dc.date.accessioned 2019-08-05T06:12:37Z
dc.date.available 2019-08-05T06:12:37Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14651
dc.description.abstract Corrosion is defined as the deterioration of materials due to the reaction with its environment. According to the physical nature of environment, corrosion can be categorized as 'corrosion in atmosphere', 'corrosion in water', 'corrosion in sea', 'corrosion in soil' etc. Among them, corrosion of steel in atmosphere is identified as one of most important type of corrosion. Because studies show that corrosion cost of a country may vary between 1 to5% of their GDP and about one half of that cost is due to atmospheric corrosion. Corrosion problem cannot be completely eliminated but it is possible to control by methods known as 'corrosion management systems'. Corrosion model is a one of the best tool that can be used for atmospheric corrosion management. Use of a corrosion model as a tool for corrosion prevention is the common practice in many other countries, but using this method is not a popular practice in Sri Lanka due to non availability of such model. Therefore, this project was carried out for the formulation of an atmospheric corrosion model that can be applicable in Sri Lankan atmosphere. For this purpose, by reviewing internationally published literature a model structure was proposed. Then field exposure programs were conducted to obtain data required for model calibration. The model was calibrated with the obtained data and test has been done for goodness of fit and the model shows considerably acceptable goodness of fit with more than 80% of data are within the ±10% deviation from actual value. Finally, a completely different set of samples were placed in different locations and data gathered were used to find out the validity and forecasting capability of the model,. The model shows a good performance in forecasting capability with acceptable deviations. en_US
dc.language.iso en en_US
dc.subject Prediction of Corrosion en_US
dc.subject Atmospheric Corrosion en_US
dc.subject Carbon Steel Corrosion en_US
dc.subject Materials Engineering en_US
dc.subject Master of Philosophy en_US
dc.title Prediction of corrosion behavior of mild steel in different Sri Lankan atmospheric conditions en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree Master of Philosophy (MPhill) en_US
dc.identifier.department Department of Materials Science & Engineering en_US
dc.date.accept 2018
dc.identifier.accno TH3734 en_US


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