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K. Vetri velmurgan ¹, K. Venkatesan ²

Affiliations
1 Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai – 600 044, IN
2 School of Mechanical Engineering, VIT University, Vellore – 632 014., IN

Abstract

Objectives: The objective of present study is to investigate the machinability effect on turning of hybrid metal matrix composites (Al/SiC/B4C) by coated carbide inserts. Then the application of Grey-Relational Analysis approach (GRAA) and Fuzzy-Taguchi Loss Function (FTLF)are used for the optimization ofmulti quality criteria response is reported. Methods/Statistical Analysis: The bar type hybrid composite are fabricated using stir casting technique. The composite has356Alalloy as ‘matrix’ and ‘SiC’with different wt%(volume fraction) of 5%, 10%, 15%and B4C (5%) particles as reinforcement material. Force (Fz) and roughness (Ra and Rt) are considered as two quality characteristics. L9orthogonal array, the ratio of signal to noise (S/N), multi-response performance characteristics (MPC), and variance test (ANOVA) are applied to investigate the quality characteristics for developed new composites. Findings: The optimal cutting parameters are determined using Grey-relational analysis Approach (GRAA) and fuzzy-Taguchi Loss Function (FTLF). Based on both approaches, the optimal levels of machining parameters are determined as A1B1C1D1.As a result, the grey relational analysis and the fuzzy-Taguchi method confirm the effectiveness for optimization of machining parameters with multiple quality criteria responses. Among these methods, fuzzy-Taguchi Loss Function (FTLF) is the most superior. Application/Improvements: In addition, the variance test (ANOVA)is identifies, the factor D (cutting depth) and C (feed rate),two influential parameters which account 55.77% and 69.8 % of the variance for grey-relational grade (GRA) and fuzzy- reasoning grade (FRG).

Keywords

Fuzzy, Grey Relational Apporach, Investigation, Optimization, Taguchi’s Loss Function Method.

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K. Vetri Velmurgan ¹, K. Venkatesan ²

Affiliations
1 Department of Mechanical Engineering, Sri Sairam Engineering College, Sai Leo Nagar, West Tambaram, Chennai - 600 044, Tamil Nadu, IN
2 School of Mechanical Engineering, VIT University, Near Katpadi Road, Vellore -632 014, Tamil Nadu, IN

Abstract

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.

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