What type of study is this?

This is a Response Surface Methodology study (also classified as: Particle Swarm Optimization).

The Impact of Land Use Change on Improving Surface Runoff, Peak Flood Discharge, and Sedimentation in the Maros Watershed

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Observational analysis shows improved surface roughness and material removal rate using RSM and PSO, indicating effective machining techniques.

Using a hybrid RSM-PSO approach, a minimum surface roughness of 0.43 µm was achieved at optimal conditions.
The maximum material removal rate of 9000 mm³/min was realized with specific Al₂O₃ concentrations and cutting speeds.
Initial experiments resulted in high R² values of 97.69%, confirming the accuracy of RSM models for machining parameters.
The multi-objective optimization highlighted a balanced machining solution, improving productivity and surface quality.

Mansida et al. (2025) studied this question.

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View Full Paper

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Authors

Observational analysis shows improved surface roughness and material removal rate using RSM and PSO, indicating effective machining techniques.

Using a hybrid RSM-PSO approach, a minimum surface roughness of 0.43 µm was achieved at optimal conditions.
The maximum material removal rate of 9000 mm³/min was realized with specific Al₂O₃ concentrations and cutting speeds.
Initial experiments resulted in high R² values of 97.69%, confirming the accuracy of RSM models for machining parameters.
The multi-objective optimization highlighted a balanced machining solution, improving productivity and surface quality.

Mansida et al. (2025) studied this question.

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