Surface Roughness Estimation in Grinding by Using Multi-Sensor Data Fusion

Abstract:

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Due to the difficulty of real-time directly measuring the surface roughness of workpiece, on-line control of grinding quality remains a challenging problem. In this paper, surface roughness of slender shaft during grinding is predicted by using multi-sensor data fusion. Location of the grinding point along the workpiece axis is measured by a grating ruler while an eddy sensor mounted on the machined body provides the workpiece vibration information. The data from these sensors fuse to give an estimation of the workpiece surface roughness. Grinding experiments were carried out to validate this method and the results indicate that the prediction error of Ra is not over 0.1 um for the given setup.

Info:

Periodical:

Edited by:

Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li

Pages:

1063-1066

DOI:

10.4028/www.scientific.net/AMM.101-102.1063

Citation:

J. L. Guo et al., "Surface Roughness Estimation in Grinding by Using Multi-Sensor Data Fusion", Applied Mechanics and Materials, Vols. 101-102, pp. 1063-1066, 2012

Online since:

September 2011

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Price:

$35.00

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