A Two-dimensional Stochastic Model for Prediction of Localized Corrosion

Now showing item 1 of 1

Title:	A Two-dimensional Stochastic Model for Prediction of Localized Corrosion
Author:	Xiao, Ying
Description:	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.
Permanent Link:	http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1108481091 http://hdl.handle.net/2374.OX/13251
Date:	2004

Files in this item

Files	Size	Format	View
There are no files associated with this item.

Now showing item 1 of 1