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.citation |
Adikari, A.A.M.T. (2018). Prediction of corrosion behavior of mild steel in different Sri Lankan atmospheric conditions [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/14651 |
|
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 |
MATERIALS SCIENCE & ENGINEERING - Thesis, Dissertations |
en_US |
dc.subject |
PREDICTION OF CORROSION |
en_US |
dc.subject |
ATMOSPHERIC CORROSION |
en_US |
dc.subject |
CARBON STEEL CORROSION |
en_US |
dc.title |
Prediction of corrosion behavior of mild steel in different Sri Lankan atmospheric conditions |
en_US |
dc.type |
Thesis-Full-text |
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 |