Predictive Modeling and Optimization of Cutting Parameters During the Turning of Inconel 718 Using Taguchi Method
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The present paper focuses on the determination of the optimum cutting conditions leading to minimum cutting force (Fa, Fr, Fz) as well as cutting power in the case of the turning of the Inconel 718 using the tool holder referenced by SVV 2020 K-11 and the carbide double-sided 35° rhombic cutting tool. The optimization is based on the Taguchi method. Furthermore, the orthogonal array, the signal-to-noise ratio (S/N) and the analysis of variance (ANOVA) are respectively exploited to establish the statistical significance of the cutting parameters on different technological ones studied. Three parameters are studied in this paper, namely: feed rate f, nose radius rε and cutting speed Vc. The experimental results revealed that the nose radius is the most factors influencing the three cutting force components followed by the cutting speed for the feed force and the feed rate the two other components. Moreover, a mathematical model relating both of cutting force and cutting power to the cutting parameters were developed.
This work was realized in collaboration with the society “ADI Tunisie” especially Mr. Jouini Saleh as a supervisor and University May 8, 1945 Guelma, LMS laboratory, Algeria espicially Mr Yallese Mohamed Athmane. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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