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A Two-dimensional Stochastic Model for Prediction of Localized Corrosion

Xiao, Ying
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1108481091

Abstract Details

2004, Master of Science (MS), Ohio University, Chemical Engineering (Engineering).
The two-dimensional (2-D) stochastic model, which describes the balance of two processes: corrosion (leading to metal loss) and precipitation (leading to metal protection), is able to predict localized corrosion, which is the most serious type of corrosion attack found in practice. The model uses uniform corrosion rate and surface-scaling tendency predicted by a 1-D mechanistic corrosion model as the inputs and can predict the possibility of localized corrosion as a function of primitive parameters such as temperature, pH, partial pressure of CO2, velocity, etc. The maximum penetration rate as well as uniform corrosion rate can be predicted and used to describe the severity of the localized attack.
Srdjan Nesic (Advisor)
71 p.
Localized Corrosion; Modeling; Stochastic; Film; Carbon Steel; Prediction

Recommended Citations

Citations

  • Xiao, Y. (2004). A Two-dimensional Stochastic Model for Prediction of Localized Corrosion [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1108481091

    APA Style (7th edition)

  • Xiao, Ying. A Two-dimensional Stochastic Model for Prediction of Localized Corrosion. 2004. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1108481091.

    MLA Style (8th edition)

  • Xiao, Ying. "A Two-dimensional Stochastic Model for Prediction of Localized Corrosion." Master's thesis, Ohio University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1108481091

    Chicago Manual of Style (17th edition)

ohiou1108481091
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© 2004, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.