Prediction of surface roughness using cutting parameters and vibration signals in minimum quantity coolant assisted turning of Ti-6Al-4V alloy. (1st January 2013)

• Record Type: Journal Article
• Authors: Upadhyay, Vikas; Jain, P.K.; Mehta, N.K.
• Is Part Of: International journal of manufacturing technology and management. Volume 27:Number 1-3(2013)
• Page Start: 33
• Page End: 46
• Publication Date: 2013-01-01
• Subjects: surface roughness -- vibration signals -- multiple regression -- green manufacturing; Manufacturing processes -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Production management -- Periodicals; 670.427068
• Languages: English
• ISSNs: 1368-2148

Abstract

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.