Data-driven Model for Process Evaluation in Wire EDM
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Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using real-time electrical signals. A regression model predicts product quality, while a classification model assesses productivity. The approach shows high accuracy and was applied to create a Digital Twin that visualizes workpiece curvature in real-time through an industrial dashboard.
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