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 EngineeringM.Tech Student

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

Assistant ProfessorMechanical Engineering Department

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

Mechanical EngineeringResearch Scholar

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Published

2022-12-17

Issue

Engineering Review, Vol. 42, No. 2

Section

Articles

License

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