What question did this study set out to answer?

To determine the optimal cutting settings for improving surface integrity during the machining of difficult-to-cut materials.

Data-Driven Modeling and Optimization of Surface Roughness and Vibration in End Milling Using a Wireless Sensor Tool Holder

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To determine the optimal cutting settings for improving surface integrity during the machining of difficult-to-cut materials.
Used a Bluetooth-enabled wireless vibration-monitoring device to collect data.
Employed a 2 3 factorial design and ANOVA to assess factors affecting surface roughness and vibration.
Identified optimal machining parameters through Derringer’s desirability multi-objective optimization method.
Cutting speed significantly influenced vibration amplitude (A).
Feed per tooth significantly affected surface roughness (Ra).
Optimal parameters were found to achieve surface roughness (Ra) of 3.07 µm and vibration amplitude (A) of 0.01196 mm.

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Randomized trial analyzes surface roughness and vibration in end milling, indicating optimal cutting settings.

Huu et al. (2026) studied this question.

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