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Multi-objective optimization of parameters in turning of N-155 iron-nickel-base superalloy using gray relational analysis

Journal of the Brazilian Society of Mechanical Sciences and Engineering volume 40, Article number: 233 (2018) Cite this article

Abstract

Obtaining high surface quality with minimum tool wear values is one of the most important goals of turning process. Moreover, when it comes to process costs, the volume of material removed is very important and should be considered when optimizing cutting variables. In this work, gray relational analysis was employed with the aim of simultaneously optimizing surface roughness, tool wear and volume of material removed. Cutting speed, feed rate and depth of cut were chosen as process control factors. Optimization results showed that cutting speed of 80 m/min, feed rate of 0.1 mm/rev and depth of cut of 1.5 mm were the optimum set of cutting parameters. Scanning electron microscope images of worn cutting edges revealed that depth-of-cut notch, built-up edge, and adhesion are dominant wear mechanisms. Finally, confirmation test proved the accuracy of the prediction carried out by the optimization process.

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Acknowledgements

The authors would like to thank Mr. Ali Dastani, the CEO of the Zangan Part Ghate Industrial Co., for his kind support of this research.

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Authors and Affiliations

  1. Department of Manufacturing Engineering, Faculty of Mechanical Engineering, University of Tabriz, Tabriz, Iran

    Behzad Eskandari

  2. School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran

    Behnam Davoodi

  3. Department of Mechanical Engineering, École Polytechnique de Montréal, Montréal, QC, Canada

    Hamid Ghorbani

Authors
  1. Behzad Eskandari
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  2. Behnam Davoodi
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  3. Hamid Ghorbani
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Corresponding author

Correspondence to Behnam Davoodi.

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Technical Editor: Márcio Bacci da Silva.

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Eskandari, B., Davoodi, B. & Ghorbani, H. Multi-objective optimization of parameters in turning of N-155 iron-nickel-base superalloy using gray relational analysis. J Braz. Soc. Mech. Sci. Eng. 40, 233 (2018). https://doi.org/10.1007/s40430-018-1156-y

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  • DOI: https://doi.org/10.1007/s40430-018-1156-y

Keywords

  • Iron-nickel-base superalloy
  • Turning
  • Gray relational analysis
  • Tool wear mechanism
  • Surface roughness
  • Volume of material removed