Corrosion Prediction of Carbon Steel in Concentrated Lithium Bromide Solutions at High Temperature Using BP Neural Network

Authors

Nai-bao HUANG, School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
Cheng-hao LIANG, School of Chemical Engineering, Dalian University of Technology, Dalian 116012, ChinaFollow

Corresponding Author

Cheng-hao LIANG(liangch@chem.dlut.edu.cn)

Abstract

Neutral network model has been developed for the computation of corrosion rate of carbon steel in LiBr solutions.The results indicate that the model is capable of reproducing the effects of changes in alkalinity, temperatures, LiBr and Na₂MoO₄ concentrations on the rates of general corrsion and good agreement between calculated and experimental corrosion rate is obtained. The model can be used to satisfactorily predict the corrosion rate of carbon steel in different concentrations of LiBr solutions containing different inhibitors at different temperatures. It also provides a novel method for corrosion monitoring of metals used in LiBr absorption chiller.

Keywords

Corrosion, Carbon steel, Lithium bromide, BP neural network

DOI Link

https://doi.org/10.61558/2993-074X.1510

Publication Date

2003-05-28

Online Available Date

2003-05-28

Revised Date

2003-05-20

Received Date

2002-10-23

Recommended Citation

Nai-bao HUANG, Cheng-hao LIANG. Corrosion Prediction of Carbon Steel in Concentrated Lithium Bromide Solutions at High Temperature Using BP Neural Network[J]. Journal of Electrochemistry, 2003 , 9(2): 228-234.
DOI: 10.61558/2993-074X.1510
Available at: https://jelectrochem.xmu.edu.cn/journal/vol9/iss2/17