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An Algorithm to Determine the Optimized Data Range in Transient Hotwire Thermal Property Measurement

[+] Author Affiliations
Gabriela Bran-Anleu, Adrienne S. Lavine, Richard E. Wirz, Reza Baghaei Lakeh, H. Pirouz Kavehpour

University of California Los Angeles, Los Angeles, CA

Paper No. IMECE2013-64940, pp. V08CT09A068; 6 pages
doi:10.1115/IMECE2013-64940
From:
  • ASME 2013 International Mechanical Engineering Congress and Exposition
  • Volume 8C: Heat Transfer and Thermal Engineering
  • San Diego, California, USA, November 15–21, 2013
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5636-9
  • Copyright © 2013 by ASME

abstract

There exists a limited amount of data for thermal properties of supercritical fluids. Accurate measurement of these properties is needed to supply benchmark data to the scientific community and to establish promising candidates for supercritical fluids applications such as energy storage systems [1]. The transient hotwire method has been widely used to measure the thermal conductivity of fluids. The ideal working equation is based on the transient solution of Fourier’s law for an infinite linear heat source assuming no natural convection or thermal end effects. In practice, the assumptions inherent in the model are only valid for a portion of the measurement time. In this study, an algorithm was developed to automatically select the proper data range from a transient hotwire experiment. Numerical simulations of the experiment were used in order to validate the algorithm. The experimental results show that the developed algorithm can be used to improve the accuracy of thermal conductivity measurements.

Copyright © 2013 by ASME

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