Machine learning based optimization of titanium electropolishing using artificial neural networks and Taguchi design in eco-friendly electrolytes
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Researchers have used machine learning to optimize the electropolishing of titanium, utilizing artificial neural networks and Taguchi design in eco-friendly electrolytes. This approach aims to improve the process of titanium electropolishing. The use of eco-friendly electrolytes suggests an effort to make the process more environmentally sustainable.