Research on Tool Wear Based on Texture Fractal Dimension

Mao Jun Chen; Zhong Jin Ni; Liang Fang

doi:10.4028/www.scientific.net/AMM.66-68.1163

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68Research on Tool Wear Based on Texture Fractal...

Research on Tool Wear Based on Texture Fractal Dimension

Abstract:

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

1163-1166

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.1163

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Online since:

July 2011

Authors:

Mao Jun Chen, Zhong Jin Ni, Liang Fang

Keywords:

Fractal Dimension, Machining Process, Tool Flank Wear, Tool Wear

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