What question did this study set out to answer?

To investigate and optimize machining parameters of AA7075-T6 while considering the effects of vibration on surface integrity.

March 5, 2026Journal of the Brazilian Society of Mechanical Sciences and EngineeringOpen Access

Experimental investigation and multi-sensor based optimization of machining parameters considering vibration effects

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To investigate and optimize machining parameters of AA7075-T6 while considering the effects of vibration on surface integrity.
Conducted multi-objective optimization using a hybrid Taguchi–GRA–CRITIC model.
Collected data on cutting force, vibration, power consumption, and surface roughness during machining.
Employed Power Spectral Density (PSD) and Short-Time Fourier Transform (STFT) for vibration analysis.
Optimal parameters achieved a 44.72% reduction in cutting force.
Vibration amplitude decreased by 80.43%.
Power consumption reduced by 20.41%.
Surface roughness improved by 71.80% compared to baseline conditions.
Validated predictive accuracy of optimized responses with 99.603% consistency.

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Implication

Experimental investigation optimizes machining parameters for vibration effects on surface integrity, indicating significant performance improvements.

Cite This Study

Bayram et al. (2026) studied this question.

synapsesocial.com/papers/69a91df9d6127c7a504c16e0 https://doi.org/10.1007/s40430-026-06315-8

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Implication

Experimental investigation optimizes machining parameters for vibration effects on surface integrity, indicating significant performance improvements.

Experimental investigation and multi-sensor based optimization of machining parameters considering vibration effects

Key Points

Discussion

Implication

Cite This Study

Experimental investigation and multi-sensor based optimization of machining parameters considering vibration effects

Key Points

Discussion

Implication

Cite This Study

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