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IJAT Vol.9 No.6 pp. 775-781
doi: 10.20965/ijat.2015.p0775
(2015)

Paper:

An Integral Method to Determine Workpiece Flow Stress and Friction Characteristics in Metal Cutting

Norfariza Wahab*, Yumi Inatsugu**, Satoshi Kubota**, Soo-Young Kim**, and Hiroyuki Sasahara*

*Tokyo University of Agriculture and Technology
2-24-16 Naka-cho, Koganei-shi, Tokyo 184-8588, Japan

** Yamanaka Eng. Co., Ltd.
2-11-2 Osaku Sakura-shi, Chiba 285-0802, Japan

Received:
January 15, 2015
Accepted:
August 26, 2015
Published:
November 5, 2015
Keywords:
numerical simulation, flow stress, orthogonal cutting, friction characteristics
Abstract

In recent times, numerical simulation techniques have been commonly used to estimate and predict machining parameters such as cutting forces, stresses, and temperature distribution. However, it is very difficult to estimate the flow stress of a workpiece and the friction characteristics at a tool/chip interface, particularly during a high-speed cutting process. The objective of this study is to improve the accuracy of the present method and simultaneously determine the characteristics of the flow stress of a workpiece and friction at the cutting edge under a high strain rate and temperature during the cutting process. In this study, the Johnson-Cook (JC) flow stress model is used as a function of strain, strain rate, and temperature. The friction characteristic was estimated by minimizing the difference between the predicted and measured results of principal force, thrust force, and shear angle. The shear friction equation was used to estimate the friction characteristics. Therefore, by comparing the measured values of the cutting forces with the predicted results from FEM simulations, an expression for workpiece flow stress and friction characteristics at the cutting edge during a high-speed cutting process was estimated.

Cite this article as:
N. Wahab, Y. Inatsugu, S. Kubota, S. Kim, and H. Sasahara, “An Integral Method to Determine Workpiece Flow Stress and Friction Characteristics in Metal Cutting,” Int. J. Automation Technol., Vol.9, No.6, pp. 775-781, 2015.
Data files:
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Last updated on Aug. 19, 2019