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http://dx.doi.org/10.14773/cst.2022.21.4.314

Identifying Factors Affecting Surface Roughness with Electropolishing Condition Using Full Factorial Design for UNS S31603  

Hwang, Hyun-Kyu (Graduate school, Mokpo national maritime university)
Kim, Seong-Jong (Division of marine engineering, Mokpo national maritime university)
Publication Information
Corrosion Science and Technology / v.21, no.4, 2022 , pp. 314-324 More about this Journal
Abstract
The objective of this investigation was to indentify major factors affecting surface roughness among various parameters of electropolishing process using the design of an experiment method (full factorial design) for UNS S31603. Factors selected included electrolyte composition ratio, applied current density, and electrolytic polishing time. They were compared through analysis of variance (ANOVA). Results of ANOVA revealed that all parameters could affect surface roughness, with the influence of electrolyte composition ratio being the highest. As a result of surface analysis after electropolishing, the specimen with the deepest surface damage was about 35 times greater than the condition with the smallest surface damage. The largest value of surface roughness after electropolishing was higher than that of mechanical polishing due to excessive processing. On the other hand, the smallest value of surface roughness after electropolishing was 0.159 ㎛, which was improved by more than 80% compared to the previous mechanical polishing. Taken all results together, it is the most appropriate to perform electrolytic polishing with a sulfuric acid and phosphoric acid ratio of 3:7, an applied current density of 300 mA/cm2, and anelectrolytic polishing time of 5 minutes.
Keywords
Electropolishing; Mechanical polishing; Surface roughness; UNS S31603; Full factorial design;
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Times Cited By KSCI : 5  (Citation Analysis)
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