考虑环境参数的钢大气腐蚀过程综合经验方程

IF 0.8 Q4 ELECTROCHEMISTRY Corrosion Science and Technology-Korea Pub Date : 2020-01-01 DOI:10.14773/CST.2020.19.4.174
Arjun Sil, Vanapalli Naveen Kumar
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引用次数: 1

摘要

大气腐蚀是金属表面由于周围大气环境参数的变化而发生的自然降解过程。它对温度、相对湿度、二氧化硫和氯化物等环境参数非常敏感,这使它成为一个重大的全球经济挑战。包括ISO标准在内的现有腐蚀预测经验模型都是基于实验研究的统计分析,没有考虑大气参数的行为。本研究提出了一个可靠的全球经验模型,用于估算短期和长期大气腐蚀速率,该模型基于从参数研究中获得的环境参数和腐蚀机制。由于环境参数的单独和综合影响,大气腐蚀速率的影响说明了它们在估算中的重要性。得到了新的环境参数全局经验系数(R2 =0.998),置信限为95%。使用在88个不同大陆位置观察到的现有研究的实验数据集对它们进行了验证。目前提出的模型可以通过环境参数综合影响下的腐蚀形成机制来预测大气腐蚀,进一步降低了地点和时间的适用性限制。
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Comprehensive Empirical Equation for Assessing Atmospheric Corrosion Progression of Steel Considering Environmental Parameters
Atmospheric corrosion is a natural surface degradation process of metal due to changes in environmental parameters in the surrounding atmosphere. It is very sensitive to environmental parameters such as temperature, relative humidity, sulphur dioxide, and chloride, making it a major global economic challenge. Existing forecasting empirical corrosion models including the ISO standard are based on statistical analysis of experimental studies without considering the behavior of atmospheric parameters. The present study proposes a reliable global empirical model for estimating short and long-term atmospheric corrosion rates based on environmental parameters and corrosion mechanisms obtained from a parametric study. Repercussion of atmospheric corrosion rate due to individual and combined influences of environmental parameters specifies their importance in the estimation. New global empirical coefficients obtained for environmental parameters are statistically established (R2 =0.998) with 95% confidence limit. They are validated using experimental datasets of existing studies observed at 88 different continental locations. The current proposed model can predict atmospheric corrosion by means of corrosion formation mechanisms influenced by combined effects of environmental parameters, further abating applicability limitations of location and time.
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来源期刊
CiteScore
1.30
自引率
66.70%
发文量
0
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