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IJAT Vol.15 No.4 pp. 431-447
doi: 10.20965/ijat.2021.p0431
(2021)

Paper:

Analytical Model for Studying the Influence of Thickness on the Protective Effect

Xiaoqi Song*,†, Yukio Takahashi*, Weiming He**, and Tohru Ihara*

*Department of Precision Mechanics, Chuo University
1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan

Corresponding author

**School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China

Received:
January 12, 2021
Accepted:
June 1, 2021
Published:
July 5, 2021
Keywords:
cutting, built-up layer, built-up edge, tool protective effect, equivalent inclusion method
Abstract

This paper presents an analytical model to study the influence of the thickness of the built-up layer (BUL) / built-up edge (BUE) on its protective effect during cutting. A new elastic-plastic contact model at the tool-chip interface is proposed to analyze the sliding contact problem with a layer of adhesion (including the BUL and BUE). The equivalent inclusion method (EIM) is utilized to analyze the stress disturbance caused by the adhesion and to evaluate the protective effect of the adhesion. In this method, the adhesion is considered as an equivalent elliptical inclusion at the tool-chip interface. The protective effect of the adhesion and the influence of the adhesion thickness on its protective effect can be evaluated. The proposed analytical model was verified based on experimental data obtained from dry cutting of SUS304 stainless steel. From the results, it can be confirmed that BUL/BUE can protect the cutting tool by affecting the stress distributions in the tool, the positions of yield initiation, and the tangential force acting on the tool. It can also be concluded that a greater thickness improves the protective effect of the BUL/BUE. Furthermore, the proposed model can also provide a clear understanding of the BUL/BUE formation phenomenon.

Cite this article as:
X. Song, Y. Takahashi, W. He, and T. Ihara, “Analytical Model for Studying the Influence of Thickness on the Protective Effect,” Int. J. Automation Technol., Vol.15 No.4, pp. 431-447, 2021.
Data files:
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Last updated on Apr. 22, 2024