Analysis of Tool Wear and Surface Roughness in Turning Operation of EN 31Steel by Taguchi Approach

Authors

  • Salman Khurshid Alam Department of Mechanical Engineering1 , Kalinga University, Naya Raipur (CG), India. Author
  • Gaurav Tamarka Assistant Professor, Department of Mechanical Engineering, Kalinga University, Naya Raipur (CG), India. Author

DOI:

https://doi.org/10.47392/irjash.2021.141

Keywords:

Cutting speed, ANOVA, Depth of Cut, Feed rate, Taguchi Orthogonal Array

Abstract

In the field of material removal, metal cutting is one of the most important manufacturing methods. The parametric optimization of the turning mechanism is the subject of this article. Cutting speed, feed rate, and cut depth are specific input parameters. MINITAB 18 uses an L9 orthogonal array to design the combination of these parameters. Turning operations are based on the Design of Experiment and are used to assess tool wear and surface roughness. The Taguchi method was used to design and optimize the experiment. ANOVA was used to assess which cutting parameters have a major impact on surface roughness and tool wear. To optimize surface roughness and finish, EN 31 is used as a workpiece and SNMG120408MS is used as a carbide cutting tool. Cutting speed (40, 60, and 90 m/min), feed rate (0.1, 0.15, and 0.2 mm/rev), and cut depth are the turning parameters (0.5, 0.75, and 1.0 mm). Arm wear at each cutting edge of the tool is determined by a toolmaker microscope and surface roughness is measured by a Talysurf profilometer (Taylor Hobson Surtronic 3). Cutting speed is the most important tool parameter, according to the findings.

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Published

2021-05-01