What type of study is this?

This is a Design of experiments study (also classified as: Particle swarm optimization, Curve fitting).

Development of intelligent milling machine monitoring system using vibrometer and accelerometer sensors with design of experiments-based particle swarm optimization technique

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This study demonstrates the impact of vibration reduction on surface quality in milling, indicating effective cutting parameters.

Vibration reduction improved surface quality and tool longevity during the milling process, leading to optimal conditions.
Optimal cutting settings of 99.932 speed, 0.9253 depth, and 50.163 feed rate resulted in 0.96152 Hz vibration.
Using particle swarm optimization with a non-linear model, the study derived best cutting parameters to minimize vibration.
The study integrates the MPU-6050 sensor and Raspberry Pi to effectively monitor and analyze milling vibrations.

Kumar et al. (2025) studied this question.

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