Articles
  • Multi response optimization of process parameters in turning of EN25 steel using topsis approach

  • R. Prakasha,*, R. Thirumalaib, K. Venkateshc and C. Natarajand

  • aAssistant Professor, Department of Mechanical Engineering, AVS College of Technology, Salem, India
    bProfessor, Department of Aeronautical Engineering, Hindusthan Institute of Technology, Coimbatore, India
    cAssistant Professor, Department of Mechanical Engineering, Mahendra Institute of Technology, Namakkal, India
    dProfessor, Department of Mechanical Engineering, Hindusthan Institute of Technology, Coimbatore, India

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

EN25 Steel possesses higher mechanical strength and corrosion resistance. Due its excellent properties, this work material is used in heavy duty driver shaft. Turning of EN25 steel is complex and determination of optimal turning process parameters is highly required to improve the cost effectiveness. In this research work coated carbide insert are used as the cutting tool material to turn EN25 steel in the CNC machine. The turning process parameters considered in this work are cutting speed, feed rate, depth of cut and type of the tool. The responses considered in this work are Tool life, surface roughness and material removal rate. Multi criteria decision making is a new decision making method which is used to rank the best alternatives among the given optimal solutions. In this work the technique for order performance by similarity to ideal solution (TOPSIS) technique is used for solving the multi criteria decision problem. ANOVA analysis is also used to check the adequacy of the model.


Keywords: TOPSIS, Multi criteria decision making, ANOVA, Multi objective optimization, Design of experts.

This Article

  • 2025; 26(2): 280-285

    Published on Apr 30, 2025

  • 10.36410/jcpr.2025.26.2.280
  • Received on Feb 13, 2025
  • Revised on Mar 10, 2025
  • Accepted on Mar 20, 2025

Correspondence to

  • R. Prakash

  • Assistant Professor, Department of Mechanical Engineering, AVS College of Technology, Salem, India
    Tel : +91 8072897895

  • E-mail: drprakashavs@gmail.com