Article ID Journal Published Year Pages File Type
730086 Measurement 2013 13 Pages PDF
Abstract

In present work performance of coated carbide tool was investigated considering the effect of work material hardness and cutting parameters during turning of hardened AISI 4340 steel at different levels of hardness. The correlations between the cutting parameters and performance measures like cutting forces, surface roughness and tool life, were established by multiple linear regression models. The correlation coefficients found close to 0.9, showed that the developed models are reliable and could be used effectively for predicting the responses within the domain of the cutting parameters. Highly significant parameters were determined by performing an Analysis of Variance (ANOVA). Experimental observations show that higher cutting forces are required for machining harder work material. These cutting forces get affected mostly by depth of cut followed by feed. Cutting speed, feed and depth of cut having an interaction effect on surface roughness. Cutting speed followed by depth of cut become the most influencing factors on tool life; especially in case of harder workpiece. Optimum cutting conditions are determined using response surface methodology (RSM) and the desirability function approach. It was found that, the use of lower feed value, lower depth of cut and by limiting the cutting speed to 235 and 144 m/min; while turning 35 and 45 HRC work material, respectively, ensures minimum cutting forces, surface roughness and better tool life.

► Coated carbide tool shown distinct performance at different levels of hardness. ► Cutting forces are higher for harder workpiece affected by depth of cut and feed. ► W/P hardness, feed and depth of cut have a significant effect on surface roughness. ► Tool life mostly influenced by speed followed by depth of cut for harder workpiece. ► Optimum cutting speed: 235 and 144 m/min for 35 and 45 HRC, respectively.

Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
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