Experimental Study of Process Parameters in Dry Turning of AISI 4340 Alloy Steel Using PVD Coated Carbide Insert

Authors

  • Krishan Kant  Mechanical Engineering Department, Chandigarh University, Gahuran, Mohali, Punjab, , India
  • Umesh Gupta  Mechanical Engineering Department, Chandigarh University, Gahuran, Mohali, Punjab, , India
  • Naveen Kumar  Mechanical Engineering Department, Chandigarh University, Gahuran, Mohali, Punjab, , India
  • Lalit Kumar  Mechanical Engineering Department, Chandigarh University, Gahuran, Mohali, Punjab, , India

Keywords:

CNC Turning, Cutting Parameters, Material Removal Rate, Surface Roughness.

Abstract

CNC Turning is basically a material removal process done to obtain the desired diameter. Even though the machine tool industry has made tremendous progress, the metal cutting industries using various machine tools continue to suffer from major drawback of not utilizing the machine tools at their full potential. A major cause leading to such a situation is thought to be the failure to run the machine tools at their optimum operating conditions. In this paper an attempt is made to investigate the various process parameters like cutting speed (V), feed (F), and depth of cut(D) to reveal their effect on MRR(Material Removal Rate) and Ra(surface Roughness) of AISI 4340 Alloy steel using one variable at a time approach. The optimal set of process parameters has also been predicted to maximize MRR and minimize Ra.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Krishan Kant, Umesh Gupta, Naveen Kumar, Lalit Kumar, " Experimental Study of Process Parameters in Dry Turning of AISI 4340 Alloy Steel Using PVD Coated Carbide Insert, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.647-651, March-April-2016.