Empirical Modelling and Optimization of Temperature and Machine Vibration in CNC Hard Turning

Abstract Turning is one of the most important machining processes in manufacturing technology. Proper selection of input parameters plays a significant role to achieve better quality product. This selection can also applicable for reducing the overall manufacturing cost and increasing the productivity. In this study, performance parameters such as cutting temperature (T) and machine vibration frequency (f) are measured during hard turning with different combinations of input parameters such as speed (V), feed (F) and depth of cut (D).An experimental investigation has been conducted to analyze the effect of process parameters (cutting speed, feed rate and depth of cut) on machine vibration and cutting temperature. The finish hard turning of AISI 4140 with coated carbide (CTC1135) cutting tools has been studied. A standard cooler shaft has been considered as job which has been produced by turning. The planning of experiment has been based on response surface methodology (RSM).The response table and analysis of variance have allowed to check the validity of linear regression model to determine the significant parameters affecting the cutting temperature and machine vibration .The statistical analysis reveals that the cutting speed have less significant effects in vibration whereas depth of cut is observed to have a statistically significant on the cutting temperature and vibration frequency.