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A Hybrid-Inverse Method for Predicting the Temperature Profile Along a Blackbody Optical Fiber Thermometer

[+] Author Affiliations
David G. Barker, Matthew R. Jones

Brigham Young University, Provo, UT

Paper No. IMECE2002-39551, pp. 293-301; 9 pages
doi:10.1115/IMECE2002-39551
From:
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Heat Transfer, Volume 7
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 0-7918-3638-X | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME

abstract

A blackbody optical fiber thermometer consists of an optical fiber whose sensing tip is given a metallic coating. The sensing tip of the fiber forms an isothermal cavity, and the emission from this cavity is approximately equal to the emission from a blackbody. Temperature readings are obtained by measuring the spectral intensity at the end of the fiber at two wavelengths. The ratio of these measurements is used to infer the temperature at the sensing tip. However, readings from blackbody optical fiber thermometers are corrupted by self-emission when extended portions of the fiber are exposed to elevated temperatures. The error due to self-emission by the fiber may be eliminated using spectral remote sensing. In this method, the radiation exiting the fiber is measured in portions of the visible and infrared spectrum, and the measured spectral intensities are used to reconstruct the temperature profile along the fiber. One method of reconstructing the temperature profile along the fiber is to use a genetic algorithm. Genetic algorithms are, however, computationally expensive. This paper describes a method for decreasing the computational time by implementing a hybrid inversion algorithm. This hybrid algorithm first uses a genetic algorithm to narrow the search space. A gradient-based method is then used to complete the inversion process. Results from the genetic algorithm alone, the gradient-based method alone and the hybrid method are presented.

Copyright © 2002 by ASME

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