Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes

Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes

Abstract This research proposes an integrated optimization framework combining artificial neural networks (ANN) and Taguchi robust design for an eco-friendly deep eutectic solvent-based electrolyte. Five key process parameters—applied voltage, processing time, temperature, electrolyte composition (c...

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Bibliographic Details
Main Authors: Hyun-Kyu Hwang, Seong-Jong Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Titanium
Electropolishing
Roughness
Artificial neural network
Taguchi robust design
Online Access:https://doi.org/10.1038/s41598-025-09416-x
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https://doi.org/10.1038/s41598-025-09416-x

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