Prediction of Cutting Forces in Turning of AISI-4140 Steel Using FEA and Experimental Validation

0*, P. Nanda Kumar**, G. Ranga Janardhana***
* Assistant Professor, Department of Mechanical Engineering, Sri Venkateswara College of Engineering & Technology, Chittoor, A.P, India
** Professor, Department of Mechanical Engineering, NBKR institute of Science and Technology, Vidyanagar, Nellore, AP, India.
*** Professor, Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, AP, India.
Periodicity:November - January'2016
DOI : https://doi.org/10.26634/jme.6.1.3738

Abstract

Turning is one of the most widely used machining techniques. Predictions of important process variables of turning such as, cutting forces and stress distributions play significant role in designing turning process parameter and optimizing cutting conditions. The present work is focused on investigating the effect of process parameters on feed, cutting, thrust forces and prediction of forces in turning of AISI 4140 steel based on FEA method. Analysis of 3D unsteady state forces in a metal cutting process is carried out by using a Deform 3D FEA code. The cutting speed, feed and depth of cut were used as the process parameters and the cutting forces are measured and predicted. This project covers a study on modeling and simulation of cutting forces in turning of AISI 4140 steel using coated and uncoated tungsten carbide cutting tool by finite element technique and finally with experimental results. The FEA is used to analyze cutting forces, stress and strain in turning. The simulation results are compared with those of the experimental results and found that both results are in close agreement with each other.

Keywords

FEA, Tungsten Carbide, AISI 4140 Steel, Tin Coating, Turning Monoxide (CO), Smoke Density

How to Cite this Article?

Sivaramakrishnaiah, M., Kumar, P. N., and Janardhana, G. R. (2016). Prediction of Cutting Forces in Turning of AISI-4140 Steel Using FEA and Experimental Validation. i-manager’s Journal on Mechanical Engineering, 6(1), 24-33. https://doi.org/10.26634/jme.6.1.3738

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