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An Inverse Method Using a Genetic Algorithm to Determine Spatial Temperature Distribution From Infrared Tranmissivity Measurements in a Gas

[+] Author Affiliations
Keith A. Woodbury, Courtney Graham, John Baker, Charles Karr

University of Alabama, Tuscaloosa, AL

Paper No. HT-FED2004-56779, pp. 869-875; 7 pages
doi:10.1115/HT-FED2004-56779
From:
  • ASME 2004 Heat Transfer/Fluids Engineering Summer Conference
  • Volume 4
  • Charlotte, North Carolina, USA, July 11–15, 2004
  • Conference Sponsors: Heat Transfer Division and Fluids Engineering Division
  • ISBN: 0-7918-4693-8 | eISBN: 0-7918-3740-8
  • Copyright © 2004 by ASME

abstract

The ill-posed nature of inverse problems suggests that a solution be obtained through an optimization method. Genetic algorithms (GAs) effectively locate the global optimum, and are therefore an appealing technique to solve inverse problems. GAs mimic biological evolution, refining a set of solutions until the best solution is found. In this report, a genetic algorithm is developed and demonstrated based on a simple problem of determining the equation of a straight line. Then the GA is modified and implemented to estimate the temperature distribution in a gas based on the measured infrared tranmissivity distribution. The ulitimate task of this inverse method will be determination of the gas composition based on these transmissivity measurements.

Copyright © 2004 by ASME

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