Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 44, Pages: 1-7
K. Vetri Velmurgan1 and K. Venkatesan2*
1Department of Mechanical Engineering, Sri Sairam Engineering College, Sai Leo Nagar, West Tambaram, Chennai - 600 044, Tamil Nadu, India; [email protected] 2School of Mechanical Engineering, VIT University, Near Katpadi Road, Vellore -632 014, Tamil Nadu, India; [email protected]
*Author for correspondence
School of Mechanical Engineering, VIT University, Near Katpadi Road, Vellore -632 014, Tamil Nadu, India; [email protected]
Objectives: The present study investigated the parametric investigation of machinability parameters on the quality characteristics of force (Fz) and roughness (Ra) during the dry turning of Inconel 718 alloy. Methods/Statistical Analysis: Machinability experiments are carried out with PVD coated carbide with (KC5510) and without wiper (KC5525) insert at three speeds (60, 80, 100 m/min), two feed (0.06 and 0.10 mm/rev) and three cutting depth (0.4, 0.8, 1.2 mm) under dry cutting conditions. The experiments are planned based on Taguchi’s L18 orthogonal array. The percentage contribution of the machinability parameters on quality characteristics is determined using analysis of variance test (ANOVA). Predictive regression equations are developed for the estimation of all the quality characteristics. Findings: From the experimental results, the most significant factor in case of both Fz and Ra is cutting depth during the turning of 718 Inconel alloy for both the inserts. The Pearson correlation (r) is evaluated whether the correlation is exists between the machinability parameters (speed; feed and cutting depth) on force and roughness. The results of calculated ‘r’ show that the cutting depth has a strong correlation with both quality characteristic trailed by the speed. Application/Improvements: In addition, the lower magnitude of Ra roughness is observed for KC5010 compared to insert designated with KC5525.
Keywords: Dry Turning, Force, Parametric Investigation, Roughness, Statistical Analysis
Subscribe now for latest articles and news.