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Sustainable turning using multi-objective optimization: a study of Al 6061 T6 at high cutting speeds

  • Salman Sagheer WarsiEmail author
  • Mujtaba Hassan Agha
  • Riaz Ahmad
  • Syed Husain Imran Jaffery
  • Mushtaq Khan
ORIGINAL ARTICLE
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Abstract

The objective of this study is to determine optimum machining parameters during high-speed turning (up to 1500 m/min) of Al 6061 T6 alloy. The chosen machining parameters optimize the trade-off between three competing responses: specific cutting energy, material removal rate, and surface roughness. These responses were first analyzed independently to establish their conflicting nature. Individual responses were then combined to formulate a multi-objective function using gray relational analysis augmented with analytic hierarchy process. Multi-objective function was optimized using regression analysis and response surface optimization. Analysis of variance results revealed cutting feed to be the most significant machining parameter affecting multi-objective function, followed by cutting speed and depth of cut. The proposed machining parameters resulted in reduction of specific cutting energy by 5% and an improvement of 33% in material removal rate while surface roughness remained unaffected.

Keywords

Analytic hierarchy process Gray relational analysis Specific cutting energy Surface roughness Sustainable turning 

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Salman Sagheer Warsi
    • 1
    Email author
  • Mujtaba Hassan Agha
    • 2
  • Riaz Ahmad
    • 1
  • Syed Husain Imran Jaffery
    • 1
  • Mushtaq Khan
    • 1
  1. 1.School of Mechanical and Manufacturing Engineering (SMME)National University of Sciences and Technology (NUST)IslamabadPakistan
  2. 2.Department of Mechanical EngineeringCapital University of Science and Technology (CUST)IslamabadPakistan

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