| Abstrakt: |
This study focuses on optimization of cutting conditions and modeling of cutting force ( F c ), power consumption (P), and surface roughness ( R a ) in machining AISI 1040 steel using cutting tools with 0.4 mm and 0.8 mm nose radius. The turning experiments have been performed in CNC turning machining at three different cutting speeds V c (150, 210 and 270 m/min), three different feed rates f (0.12 0.18 and 0.24 mm/rev), and constant depth of cut (1 mm) according to Taguchi L18 orthogonal array. Kistler 9257A type dynamometer and equipment's have been used in measuring the main cutting force ( F c ) in turning experiments. Taguchi-based gray relational analysis (GRA) was also applied to simultaneously optimize the output parameters ( F c , P and R a ). Moreover, analysis of variance (ANOVA) has been performed to determine the effect levels of the turning parameters on F c , P and R a . Then, the mathematical models for the output parameters ( F c , P and R a ) have been developed using linear and quadratic regression models. The analysis results indicate that the feed rate is the most important factor affecting F c and R a , whereas the cutting speed is the most important factor affecting P. Moreover, the validation tests indicate that the system optimization for the output parameters ( F c , P and R a ) is successfully completed with the Taguchi method at a significance level of 95%. [ABSTRACT FROM AUTHOR] |
