A Comprehensive Predictive Corrosion Model incorporating varying Environmental Gas Pollutants applied to Wider Steel Applications.

Nazir, M.H, Khan, Z. A. and Saeed, A., 2017. A Comprehensive Predictive Corrosion Model incorporating varying Environmental Gas Pollutants applied to Wider Steel Applications. Materials Chemistry and Physics, 193 (June), pp. 19-34.

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Official URL: https://www.journals.elsevier.com/materials-chemis...

DOI: 10.1016/j.matchemphys.2017.01.081

Abstract

A comprehensive model has been developed to predict uniform corrosion rate of structural steel under the effect of low pH conditions for example acid rain. Acid rain is mainly caused by emissions of sulfur dioxide (SO2) which reacts with the water droplets in atmosphere to produce acidic solution which is the primary cause of corrosion of steel structures such as bridges, and weathering of stone buildings and statues. A five-stage division was applied to mathematically describe the model as: (i) the growth rate of air-suspended water droplets (i.e. moisture) depending on the condensation/evaporation rate, (ii) the absorption of gas phase SO2 in the droplets forming bisulfite HSO_3^- ions, (iii) the coalescence of these SO2 absorbed water droplets under the effects of wind speed and gravity, (iv) the deposition rate of SO2 absorbed droplets on steel substrate depending on the inclination and azimuth angles of steel surfaces and, (v) the corrosion rate of steel due to the deposition of these SO2 absorbed droplets. The incorporation of all the above stages develops a comprehensive corrosion prediction model which not only includes the electrochemical parameters but also large number of physical, environmental and material parameters. Experiment was performed to analyse the corrosion rate of steel samples by exposing them to moist SO2 corrosion test. A comparative analysis between the model predictions and experimental results was performed to verify the reliability of model. The predictive trends of corrosion rate of steel were also generated for different values of temperature, relative humidity, and SO2 mole percentage.

Item Type:Article
ISSN:0254-0584
Uncontrolled Keywords:Steel ; Corrosion ; SO2 ; Mathematical model ; Simulation
Group:Faculty of Science & Technology
ID Code:26642
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:27 Jan 2017 14:24
Last Modified:18 Apr 2017 14:42

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