Optimization of Electropolishing Conditions with Statistical and Surface Analyses Using Taguchi Method for Austenitic Stainless Steel

被引：2

作者：

Hwang, Hyun-Kyu ^{[1
]}

Kim, Seong-Jong ^{[2
]}

机构：

[1] Mokpo Natl Maritime Univ, Grad Sch, 91 Haeyangdaehak Ro, Mokpo Si 58628, Jeonranam Do, South Korea

[2] Mokpo Natl Maritime Univ, Div Marine Engn, 91 Haeyangdaehak Ro, Mokpo Si 58628, Jeonranam Do, South Korea

来源：

CORROSION SCIENCE AND TECHNOLOGY-KOREA | 2022年 / 21卷 / 05期

关键词：

Electropolishing; Surface roughness; UNS S31603; Taguchi method; SN ratio; CORROSION CHARACTERISTICS; PROCESS PARAMETERS; RESISTANCE; GRADE;

D O I：

10.14773/cst.2022.21.5.360

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

Electropolishing has various parameters because an electrochemical reaction is applied. Accordingly, experiments to determine factors and levels of electropolishing conditions are in progress for various mate-rials. The purpose of this investigation was to optimize conditions for electropolishing using the taguchi method for UNS S31603. Factors such as electrolyte composition ratio, electrolyte temperature, and elec-tropolishing process time were selected. Electropolishing was optimized using analysis of variance (ANOVA), signal-to-noise ratio (the smaller the better characteristics), and surface analysis. Results of ANOVA revealed that only the electrolyte composition ratio among factors was effective for surface roughness. As a result of statistical analysis of the signal-to-noise ratio, the highest signal-to-noise ratio was calculated under electropolishing conditions with sulfuric acid and phosphoric acid ratio of 4:6, an electrolyte temperature of 75 C, and electropolishing process time of 7 minutes. In addition, the surface roughness after electropolishing under the above conditions was 0.121 mu m, which was improved by more than 88% compared to mechanical polishing.

引用

页码：360 / 371

页数：12

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