Loading

Optimization Tool Wear on Hard Turning of AISI4140 Steel with Coated Carbide Tool Cutting Conditions
D. Rajeev1, S. Christopher Ezhil Singh2, D.R. Anand Rejilin3, G. Glan Devadhas4, S. Ajitha Priyadarsini5

1D. Rajeev*, Department of Mechanical Engineering, MarEphraem College of Engineering and Technology, Tamil Nadu, India
2S.Christopher Ezhil Singh, Department of Mechanical Engineering, Vimal Jyothi Engineering College, Kannur, Kerala, India
3D.R.Anand Rejilin Department of Civil Engineering, Mar Ephraem College of Engineering and Technology, Tamil Nadu, India.
4G.Glan Devadhas, Department of Applied Electronics and Instrumentation Engineering, Vimal Jyothi Engineering College, Kannur, Kerala, India.
5S.Ajitha Priyadarsini, Department of Electrical and Electronics Engineering, Narayanaguru College of Engineering, Kanyakumari, Tamil Nadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 2051-2054 | Volume-9 Issue-5, March 2020. | Retrieval Number: E3213039520/2020©BEIESP | DOI: 10.35940/ijitee.E3213.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In recent year’s traditional grinding process are being replaced by hard turning for the finishing operation of hardened steel. High rate of TW and the cost of CBN inserts associated with hard turning is a cause of concern. In order to minimize the TW, this work proposes the optimal cutting conditions for the hard turning of Hardened AISI 4140 steel (47 HRC) utilizing low affluent CVD coated Ti(C, N) + Al2O3 carbide tool. All the trials are conceded out based on Design of Experiments. Response surface methodology based on BBD is followed for experimentation. The ANOVA is utilized to recognize the most impacting parameters on the TW. Results indicate that both the CS and the DoC influences the TW. Optimization results reveal lower CS results in minimal TW. 
Keywords: Hard Turning, RSM, Coated Carbide, ANOVA, TW
Scope of the Article: Discrete Optimization