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Assessment and spatial mapping of atmospheric corrosion amelioration using empirical equation considering environmental parameters
Corrosion Engineering, Science and Technology ( IF 1.8 ) Pub Date : 2020-03-11 , DOI: 10.1080/1478422x.2020.1739191
Vanapalli Naveen Kumar 1 , Arjun Sil 1
Affiliation  

ABSTRACT Atmospheric corrosion is a natural surface deterioration process of the ferrous metal (steel) owing to electrochemical process with the variation of highly sensitive atmospheric parameters surrounding the metal. A global empirical model developed for estimating short-and long-term atmospheric corrosion rates by establishing empirical coefficients statistically (with R2 = 0.99) having 95% confidence limit. It predicts atmospheric corrosion, based on the corrosion formation mechanisms and the combined impact of the environmental parameters and further abates the location and time limitations. Corrosion studies are performed for 39 years of atmospheric data collected in the study area. Environmental parameters changes in the study area over the four decades (1979–2018) are observed and corrosion map for each decade in total 39 years data based corrosion map prepared using the developed empirical equation. The developed empirical equation closely predicts atmospheric corrosion for the experimental datasets collected at 88 different continental locations while the ISO exhibits uncertainty.

中文翻译:

考虑环境参数的经验方程对大气腐蚀改善的评估和空间制图

摘要大气腐蚀是黑色金属(钢)由于电化学过程和金属周围高度敏感的大气参数变化而导致的自然表面劣化过程。通过建立具有 95% 置信限的统计经验系数(R2 = 0.99),为估算短期和长期大气腐蚀率而开发的全球经验模型。它根据腐蚀形成机制和环境参数的综合影响预测大气腐蚀,并进一步减少位置和时间限制。对研究区域收集的 39 年大气数据进行了腐蚀研究。观察研究区环境参数在四个十年(1979-2018 年)中的变化,并使用开发的经验方程在总共 39 年的基于数据的腐蚀图中绘制每个十年的腐蚀图。开发的经验方程可以密切预测在 88 个不同大陆位置收集的实验数据集的大气腐蚀,而 ISO 表现出不确定性。
更新日期:2020-03-11
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