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Thermal-wave resonant cavity signal processing.

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This study enhances thermal diffusivity measurements using the thermal-wave resonant cavity (TWRC) technique. Numerical simulations and experiments significantly reduce signal processing uncertainty, achieving highly accurate results for water.

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Area of Science:

  • Physics
  • Materials Science
  • Thermodynamics

Background:

  • The thermal-wave resonant cavity (TWRC) technique is widely used for thermal diffusivity measurements.
  • Signal processing, particularly curve fitting, introduces uncertainty in TWRC measurements.

Purpose of the Study:

  • To reduce uncertainty in TWRC signal processing through numerical simulation and experimental verification.
  • To establish optimal fitting ranges for improved accuracy in thermal diffusivity determination.

Main Methods:

  • Numerical simulations were performed to analyze the relationship between signal amplitude and cavity length.
  • Experimental verification was conducted using distilled water, air, and methanol as intra-cavity samples.
  • Fitting ranges were determined based on simulation results, signal-to-noise ratio, and amplitude curve shape.

Main Results:

  • Simulations indicate that fitting should commence at least twice the thermal-wave diffusion length (2 μg) to minimize uncertainty.
  • Optimal experimental fitting ranges of approximately 2.2-8.0 μg and 2.2-8.7 μg were identified.
  • Highly accurate thermal diffusivity values for distilled water were obtained, with a standard deviation to mean ratio below 0.07%.

Conclusions:

  • The optimized TWRC signal processing method significantly reduces measurement uncertainty.
  • The findings provide a more reliable approach for determining thermal diffusivity in various materials.
  • The methodology is applicable to gases and liquids, demonstrating versatility.