Prediction of Corrosion Rate for Carbon Steel Using Regression Model with Commercial LPR Sensor Data

In this study, a model was proposed to predict the corrosion rate (Mils per Year, MPY) of carbon steel in a 3.5% NaCl solution, with the objective of comparing the effectiveness of a commercial LPR sensor against traditional electrochemical methods, using potentiostat-based LPR techniques. The prima...

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Bibliographic Details
Main Authors: Kwang-Hu Jung, Jung-Hyung Lee
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/23/10836
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