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Research Article

Year : 2018 | Volume: 4 | Issue: 1 | Pages: 19-29

Analysis of Cutting Force Components in Hard Turning of AISI4340 Steel with Coated Carbide Tool: Regression Model and Cutting Conditions Optimization

D Rajeev1*, N Austin, G Franklin2

doi:10.18831/james.in/2018011002

Corresponding author

D Rajeev*

Associate Professor, Department of Mechanical Engineering, MarEphraem College of Engineering and Technology

  • 1. Associate Professor, Department of Mechanical Engineering, MarEphraem College of Engineering and Technology

Received on: 02/01/2018

Revised on: 02/28/2018

Accepted on: 03/01/2018

Published on: 03/02/2018

  • Analysis of Cutting Force Components in Hard Turning of AISI4340 Steel with Coated Carbide Tool: Regression Model and Cutting Conditions Optimization, D Rajeev, N Austin, G Franklin., 03/02/2018, Journal of Advances in Mechanical Engineering and Science, 4(1), 19-29, http://dx.doi.org/10.18831/james.in/12018011002.

    Published on: 03/02/2018

Abstract

Recently, hard turning has become an emerging technology in manufacturing replacing traditional grinding process. In this work, an experimental study on the influence of process parameters (cutting speed, feed rate and depth of cut) on cutting force components in the hard turning process is carried out. Hardened AISI 4340 steel (47 HRC (Rockwell hardness)) is machined using CVD coated Ti(C,N) + Al2O3 carbide tool. Experiments are carried out with response surface design using Box-Behnken approach. The process parameters are taken as factors and considered for experimentation in three-levels. The cutting forces measured from dynamometer are taken as response. Analysis of Variance (ANOVA) is carried out to determine the most influencing parameters. Regression equations are formulated using experimental data. The response surface analysis is carried out to determine the influence of interaction of process parameters on the responses. Optimal cutting conditions range is found out for minimizing the cutting forces. Results indicate that both depth of cut and feed has statistical significance on the cutting force components.

Keywords

Hard turning, RSM, Coated carbide, ANOVA, Cutting force, Tool Wear.