Prediction of surface roughness using cutting parameters and vibration signals in minimum quantity coolant assisted turning of Ti-6Al-4V alloy

In this work, an attempt has been made to investigate the role of vibration signals in prediction of surface roughness in minimum quantity coolant assisted turning of Ti-6Al-4V alloy. Initially, a model of surface roughness as a function of cutting parameters was developed to serve as the reference data. Subsequently, two more models were developed - one representing the variation of surface roughness with the vibration and the other represents the variation of surface roughness as a function of cutting parameters and vibration signal considered in tandem. A comparison of the three models established that the model based on simultaneous consideration of cutting parameters and vibration was the most accurate of the three.

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