Investigation of cutting time and tool wear rate on EN-24 steel alloy by the drilling process

Authors

  • Yogesh kumar Jangid Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University, Kota, Rajasthan, India,324010
  • Ashish Goyal Department of Mechanical Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan, India, 303007
  • Manish Dadhich Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University, Kota, Rajasthan, India,324010

Keywords:

CNC drilling, EN-24, tool wear rate, cutting time, ANOVA

Abstract

High quality CNC manufacturing is depending on proper selection of optimum machining parameters. The aim of present work is to establish the relation among input factors i.e. spindle speed, feed rate and depth of cut and cutting time and tool wear rate. The operation is performed on EN-24 alloy steel material. The analysis of variance (ANOVA) is performed to find the significant and non-significant parameters. Mathematical model is developed for CT and TWR and optimized using composite desirability (CD) function technique. It was found that the best machining factor is depth of cut whereas spindle speed is less efficient machining parameter. The confirmation experiments have also performed to validate of the results.

Author Biographies

  • Yogesh kumar Jangid, Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University, Kota, Rajasthan, India,324010

    Mechanical Engineering

    M.Tech Student

  • Ashish Goyal, Department of Mechanical Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan, India, 303007

    Assistant Professor

    Mechanical Engineering Department

  • Manish Dadhich, Department of Mechanical Engineering, University Teaching Department, Rajasthan Technical University, Kota, Rajasthan, India,324010

    Mechanical Engineering

    Research Scholar

Downloads

Published

2022-12-17

How to Cite

Investigation of cutting time and tool wear rate on EN-24 steel alloy by the drilling process. (2022). Engineering Review, 42(2), 1-12. https://engineeringreview.org/index.php/ER/article/view/1611

Most read articles by the same author(s)