一种确定腐蚀金属极化特性的新型优化技术

Shaik Liyakhath Ahmed, Sunil Kumar Thamida, N. Narasaiah
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引用次数: 2

摘要

极化数据表征了金属的腐蚀行为,可以快速估计腐蚀电流密度和腐蚀电位。这两个特性决定了金属在电偶系列中的腐蚀速率和位置。本研究选用的体系为NaCl溶液中的钢(SS304)。在这些研究中,Butler-Volmer方程的icorr和Ecorr是通过拟合实验电流与电位数据的完整表达式得到的,而不是使用tafelslope的图解方法。为此使用了MATLAB优化工具箱。介绍了一种新的优化技术,用于确定Ecorr和icorr
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel optimization technique to determine polarization characteristics of a corroding metal
Abstract Polarization data characterize the corrosion behavior of a metal giving a quick estimate of corrosion current density icorr and corrosion potential Ecorr. These two characteristics determine the corrosion rate and position of the metal in galvanic series. The chosen system for the study is steel (SS304) in NaCl solution. In these studies, icorr and Ecorr of Butler-Volmer equation are obtained by fitting the full expression to experimental current vs potential data unlike the graphical method using Tafelslopes. MATLAB optimization tool box is utilized for this purpose. The novel optimization technique is explained for determining Ecorr and icorr
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