孔蚀统计规律的对比研究

A COMPARATIVE STUDY ON THE STATISTICAL PATTERN OF PITTING CORROSION

孔蚀统计规律的对比研究张九渊，洪明庚，卢建树，蔡鹏（浙江工业大学杭州３１００１４）１前言孔蚀的发生具有随机性，只能用统计方法末预测．Ａｚｉｓ［１］和Ｅｌｄｒｅｄｇｅ［２］等最早采用预测自然灾害的极值统计方法耒研究最大蚀孔深度，发现符合Ｇｕｍｂｅｌ第一...

statistical study on laboratory data of pitting corrosion of 1Cr17 stainless steel in FeCl3 solutions has been carried out by comparing Logistic, Probit and Extroma models. The fitting values for the three models show that the Logistic model is better than the Probit and Extrema models which are being widely used. The Logistic model can be expressed as:The statistical analysis shows that the above formulation fits quite well with the experimental data. In addition, the paper presents an example of predicting perforated pit numbers on a tube coil of a heat exchanger by the Extrema model analysis.