Browsing by Author "Adikari, AAMT"

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item: Conference-Full-text
Corrosion behavior of steel in different atmospheric conditions
(2013) Adikari, AAMT; Munasinghe, RGNDS; Jayatileke, S
Corrosion of metals makes a large impact on the economy of a ountry. Therefore, it is important to take remedial actions to prevent structures, machinery and vehicles from corrosion. Among the various types of corrosion the corrosion that occurs in the atmosphere is known as atmospheric corrosion and it accounts for more failures than other types of corrosion. To take preventive actions against atmospheric corrosion of metals, it is essential to study the corrosivity of the atmosphere by analyzing factors that influence it. The corrosivity of the atmosphere mostly depends on several atmospheric variables, such as relative humidity, temperature, rainfall, chloride deposition rate, pollutant gases like nitrogen and sulfur oxides. In order to study the severity of the atmosphere which promotes the metal corrosion three types of commonly used structural materials mild steel, stainless steel 304 and 316 were exposed in two different atmospheric conditions. Two corrosion test panels were placed in two geographical locations and loss of weight due to corrosion was continuously measured in all three types of metals. The atmospheric variables in the two locations were also continuously recorded. Finally, these data were fitted with the power model in order to predict the rate of corrosion under particular atmospheric conditions. With the predicted corrosion rate under a particular atmospheric condition it is possible to take ecessary preventive measures during the design or in the service of metallic structures, machinery and vehicles etc. The broad aim of this research work is to collect adequate data to develop a corrosion model to redict the corrosion rate in any atmospheric environment in Sri Lanka using measured atmospheric variables and thereby establish a 'corrosion map 'for Sri Lanka.
item: Conference-Full-text
Corrosion behavior of steel in different atmospheric conditions
(The Engineering Research Unit, University of Moratuwa, 2013-02) Adikari, AAMT; Munasinghe, RGN De S; Jayatiieke, S; Rodrigo, R
Corrosion of metals makes a large impact on the remedial actions to prevent structures, corrosion the corrosion that economy of a country. Therefore, it is important machinery and vehicles from corrosion. Among the various types of occurs in the atmosphere is known as atmospheric corrosion and it accounts for more failures than other types oj corrosion. To take preventive actions against atmospheric corrosion of metals, it is essential to study the corrosivity of the atmosphere by analyzing factors that influence it. The corrosivity of the atmosphere mostly depends on several atmospheric variables, such as relative humidity, temperature, rainfall, chloride deposition rate, pollutant gases like nitrogen and sulfur oxides. In order to study the severity of the atmosphere which promotes the used structural materials mild steel, stainless steel 304 and 316 conditions. Two corrosion test panels to take metal corrosion three types of commonly were exposed in two different atmospheric placed in two geographical locations and loss of weight due to corrosion was continuously measured in all three types of metals. The atmospheric variables in the two locations were also continuously recorded. Finally, these data were fitted with the power model in order to predict the rate of corrosion under particular atmospheric conditions. With the predicted corrosion rate under a particular atmospheric condition it is possible to take necessary> preventive measures during the design or in the service of metallic structures, machinery and vehicles etc. The broad aim of this research work is to collect adequate data to develop a corrosion model to predict the corrosion rate in any atmospheric environment in Sri Lanka using measured atmospheric variables and thereby establish a 'corrosion map'for Sri Lanka.
item: Thesis-Full-text
Prediction of corrosion behavior of mild steel in different Sri Lankan atmospheric conditions
Adikari, AAMT; Munasinghe, RGN De S
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.
item: Conference-Abstract
Validation of a self-developed corrosion model for the prediction of atmospheric corrosion of mild steel in Sri Lanka
(IEEE, 2017-05) Adikari, AAMT; Munasinghe, RGN Ds S; Jayasekara, AGBP; Amarasinghe, YWR
Among the different types of corrosion failures, Atmospheric corrosion accounts for many failures. The corrosivity of atmosphere mainly depends on the atmospheric variables such as relative humidity, temperature, salinity etc. Development of a relationship between corrosivity and environmental variables which is known as Corrosion modeling is widely used method for the determination of corrosivity of atmosphere. For the prediction of atmospheric corrosion a corrosion model was developed and the model was calibrated by the data obtained from field exposure test that was conducted for two years in four different places in Sri Lnaka. For the validation of model’s forecasting capability, the exposure test carried out for the calibration of model in two locations were continued up to five years and two exposure tests were conducted in another two different locations. According to the Test results the model shows good forecasting capability in the areas that are not more closure to coastal line. This paper describes the work carried out to validate the model for forecasting and prediction capability.
item: Conference-Abstract
Validation of a self-developed corrosion model for the prediction of atmospheric corrosion of mild steel in Sri Lanka
(2017) Adikari, AAMT; Munasinghe, RGNDe S
Among the different types of corrosion failures, Atmospheric corrosion accounts for many failures. The corrosivity of atmosphere mainly depends on the atmospheric variables such as relative humidity, temperature, salinity etc. Development of a relationship between corrosivity and environmental variables which is known as Corrosion modeling is widely used method for the determination of corrosivity of atmosphere. For the prediction of atmospheric corrosion a corrosion model was developed and the model was calibrated by the data obtained from field exposure test that was conducted for two years in four different places in Sri Lnaka. For the validation of model’s forecasting capability, the exposure test carried out for the calibration of model in two locations were continued up to five years and two exposure tests were conducted in another two different locations. According to the Test results the model shows good forecasting capability in the areas that are not more closure to coastal line. This paper describes the work carried out to validate the model for forecasting and prediction capability.