Paper Title:
Surface Roughness Estimation in Grinding by Using Multi-Sensor Data Fusion
  Abstract

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
Chapter
Chapter 5: Advanced Machining and Materials Processing Technology
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, L. Q. Chen, J. Chi, X. Yang, "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
$32.00
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