Prihandana, Gunawan Setia and Sriani, Tutik and Jamaludin, Mohd Fadzil and Yusof, Farazila and Arifvianto, Budi and Mahardika, Muslim (2023) Parameters Optimization for Electropolishing Titanium by Using Taguchi-Based Pareto ANOVA. Metals, 13 (2). ISSN 2075-4701, DOI https://doi.org/10.3390/met13020392.
Full text not available from this repository.Abstract
Material removal rate in electropolishing is often overlooked because this process generally addressed for surface finish; however, it is paramount on metallic sheet machining possessed with intricate geometry. Electropolishing removes metallic material from the surface of a workpiece based on anodic dissolution process. The material removal rate depends on the current density, electrolyte, the strength of the magnetic field, polishing time and temperature. In this study, three factors of applied voltage, electrolyte composition and magnetic field were evaluated using Taguchi approach to improve the material removal rate in the electropolishing of a pure titanium (99.5%) workpiece. The experiments were undertaken as per Taguchi L-9 (3(3)) orthogonal array, and further analyzed using Pareto ANOVA to determine the most significant parameter. It was found that the optimum parametric combination to maximize the material removal rate were, applied voltage of 15 V, ethanol concentration of 20 vol.% and magnetic field of 0.51 T. The experimental results show that the responses in electropolishing process can be improved through this approach.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Electropolishing; Taguchi; Titanium; SS 304; Material removal rate; Environmentally sound technologies |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Centre for Foundation Studies in Science Faculty of Engineering Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 04 Nov 2024 04:18 |
| Last Modified: | 04 Nov 2024 04:18 |
| URI: | http://eprints.um.edu.my/id/eprint/38730 |
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