Research on Tool Wear Based on Texture Fractal Dimension

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

1163-1166

DOI:

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

Citation:

M. J. Chen et al., "Research on Tool Wear Based on Texture Fractal Dimension", Applied Mechanics and Materials, Vols. 66-68, pp. 1163-1166, 2011

Online since:

July 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.