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Algorithm to optimize transient hot-wire thermal property measurement.

Gabriela Bran-Anleu1, Adrienne S Lavine1, Richard E Wirz1

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This study introduces an algorithm to automatically select optimal data ranges in transient hot-wire experiments, enhancing the accuracy of fluid thermal conductivity measurements.

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Area of Science:

  • Fluid dynamics
  • Heat transfer
  • Materials science

Background:

  • The transient hot-wire method is a standard technique for measuring fluid thermal conductivity.
  • Ideal models for this method rely on assumptions of no natural convection or thermal end effects, which are not always valid.
  • Practical measurements often deviate from ideal conditions over time.

Purpose of the Study:

  • To develop an automated algorithm for selecting the appropriate data range in transient hot-wire experiments.
  • To improve the accuracy of thermal conductivity measurements by addressing limitations of the ideal model.
  • To validate the developed algorithm using numerical simulations.

Main Methods:

  • Development of a novel algorithm for automatic data range selection.
  • Implementation of numerical simulations to model transient hot-wire experiments.
  • Validation of the algorithm's performance against simulated and experimental data.

Main Results:

  • The developed algorithm successfully identifies the optimal data subset for analysis.
  • Numerical simulations confirmed the algorithm's ability to work within the valid range of the ideal model.
  • Experimental validation demonstrated a significant improvement in the accuracy of thermal conductivity measurements.

Conclusions:

  • The automated data range selection algorithm effectively overcomes the limitations of the ideal transient hot-wire model.
  • This method provides a more reliable approach for accurate thermal conductivity determination in fluids.
  • The algorithm offers a practical solution for enhancing the precision of this widely used measurement technique.