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Proceedings Paper

Birefringent torque sensor for motors
Author(s): Dukki Chung; Francis L. Merat; Fred M. Discenzo; James S. Harris
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Paper Abstract

Birefringent optical materials can be used to convert mechanical strain into fringe patterns of optical intensity which have typically been used to measure surface stains or stresses. In this paper a system will be described that uses a photoelastic transducer, linear sensor array, and neural network image processing to estimate the load torque for stationary and rotating motor shafts up to 1500 rpm. A photoelastic polymer coupling is attached to the shaft, and illuminated by polarized light. As the shaft torque varies the photoelastic plastic coupling experiences torsional strain. This results in a corresponding 2D fringe pattern when viewed through an optical polarizer. The strain that causes this observed pattern in a complex function of the applied torque applied to the shaft. A neural network is trained with the fringe patterns corresponding to calibrated load torques as measured by a laboratory strain gauge torque sensor. Experimental results show that the neural network torque estimator can accurately estimate the applied torque for both static and rotating shafts.

Paper Details

Date Published: 29 December 1998
PDF: 8 pages
Proc. SPIE 3520, Three-Dimensional Imaging, Optical Metrology, and Inspection IV, (29 December 1998); doi: 10.1117/12.334339
Show Author Affiliations
Dukki Chung, Case Western Reserve Univ. (United States)
Francis L. Merat, Case Western Reserve Univ. (United States)
Fred M. Discenzo, Rockwell Automation (United States)
James S. Harris, Rockwell Automation (United States)

Published in SPIE Proceedings Vol. 3520:
Three-Dimensional Imaging, Optical Metrology, and Inspection IV
Kevin G. Harding; Donald J. Svetkoff; Katherine Creath; James S. Harris, Editor(s)

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