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Predictive Modeling and Optimization of Cutting Parameters During the Turning of Inconel 718 Using Taguchi Method

  • Wassila Frifita
  • Sahbi BenSalem
  • Mohamed Athmane Yallese
Conference paper
  • 68 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

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.

Notes

Acknowledgements

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.

References

  1. 1.
    Zamzemi F (2007) caractérisation de modèles de frottement aux interfaces pièce- outil-copeau en usinage: application au cas de l’usinage des aciers et de l’inconel 718, thèse, école centrale Lyon, FranceGoogle Scholar
  2. 2.
    Alexandre F (2004) Aspects probabilistes et microstructuraux de l’amorçage des fissures de fatigue dans l’alliage Inconel 718, thèse, Ecole Nationale Supérieure des Mines de ParisGoogle Scholar
  3. 3.
    Frifita W et al (2018) Optimization of surface roughness using the method Taguchi, application for workpiece in Inconel 718, Poster, 4th Tunisian Congress of Mechanics. Hammamet, TunisiaGoogle Scholar
  4. 4.
    Mishra G et al (2016) Optimization of cutting force, feed force and material removal rate (MRR) in turning of Inconel 718. Int J Sci ResGoogle Scholar
  5. 5.
    Pawade RS et al (2007) an investigation of cutting forces and surface roughness damage in high-speed turning of Inconel 718. Int J Adv Manuf TechnolGoogle Scholar
  6. 6.
    Tsao CC (2009) Grey-Taguchi method to optimize the milling parameters of aluminum alloy. Int J Adv Manuf Technol 40:41–48CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wassila Frifita
    • 1
  • Sahbi BenSalem
    • 1
    • 2
  • Mohamed Athmane Yallese
    • 3
  1. 1.Laboratory of Applied Mechanical Research and Engineering (LR-MAI), National School of Engineers of Tunis(ENIT)ELMANAR UniversityTunisTunisia
  2. 2.IPEI NabeulMrazka University Campus, University of CarthageNabeulTunisia
  3. 3.Mechanics and Structures Research Laboratory (LMS)May 8th 1945 UniversityGuelmaAlgeria

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