A simplified model for thermal-wave cavity self-consistent measurement of thermal diffusivity

Shen, Jun; Zhou, Jialiang; Gu, Chen; Neill, Stuart; Michaelian, K.; Fairbridge, Craig; Astrath, N. G. C.; Baesso, Mauro Luciano

doi:10.1063/1.4846255

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The thermal wave resonant cavity (TWRC) apparatus described in ref was employed to measure the thermal diffusivities of the samples. Radiation from a 532.0 nm laser (Melles Griot, model 58 GLS/GSS 301, 30 mW) was modulated at 2.599 Hz by a mechanical chopper (Boston Electronics, model CH-60) and arranged to impinge on a surface-blackened 22 μm thick aluminum foil within the TWRC to generate the thermal wave.…”

Section: Methodsmentioning

confidence: 99%

Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

et al. 2017

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Four alternative fuels (AF) were blended with ultralow sulfur diesel (ULSD) at five different proportions (10, 20, 30, 50, and 100 vol % AF) to create 20 binary mixtures in this work. Two renewable jet AFs and two renewable diesel AFs were investigated. Interactions between the components in the mixtures were analyzed by means of spectroscopy (Raman, nearinfrared), thermophysical (thermal diffusivity, thermo-optic coefficient), and physical (density) techniques. Correlations among the data were investigated using principal component analysis and partial least-squares regression. Trends in Raman intensities and band positions as well as thermophysical properties showed that the AF/ULSD blends resembled two-component mixtures despite the known complexities of the constituents. Specifically, spectra combined according to the percentages of the components in each mixture; thermophysical and physical properties exhibited similar behavior. The spectra showed strong correlations with all three physical properties, creating the possibility for predicting the properties of similar AF/ULSD mixtures. These properties are governed by the chemical compositions of the fuels.

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Section: Methodsmentioning

confidence: 99%

Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

et al. 2017

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“…Different schemes have been used for thermal diffusivity evaluation via the TWC theory, including direct and indirect evaluation. In the direct evaluation, the thermal diffusivity is obtained from the fitting of the phase (and in-phase) and amplitude (and quadrature) of the signal as a function of cavity length [ 7 ]. The thermal diffusivity of liquid sample is frequently obtained through fitting the amplitude and phase of the PE signal in a cavity scan.…”

Section: Introductionmentioning

confidence: 99%

Thermal Wavelength Measurement of Nanofluid in an Optical-Fiber Thermal Wave Cavity Technique to Determine the Thermal Diffusivity

Noroozi

Mohammadi

Radiman

et al. 2018

The Scientific World Journal

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The application of optical-fiber thermal wave cavity (OF-TWC) technique was investigated to measure the thermal diffusivity of Ag nanofluids. The thermal diffusivity was obtained by measuring the thermal wavelength of sample in a cavity scan mode. The spherical Ag nanoparticles samples were prepared at various sizes using the microwave method. Applying the thermal wavelength measurement in a flexible OF-TWC technique requires only two experimental data sets. It can be used to estimate thermal diffusivity of a small amount of liquid samples (0.3 ml) in a brief period. UV-Vis spectroscopy and transmission electron microscopy were used to measure the characterization of the Ag nanoparticles. The thermal diffusivity of distilled water, glycerol, and two different types of cooking oil was measured and has an excellent agreement with the reported results in the literature (difference of only 0.3%–2.4%). The nanofluids showed that the highest value of thermal diffusivity was achieved for smaller sized nanoparticles. The results of this method confirmed that the thermal wavelength measurement method using the OF-TWC technique had potential as a tool to measure the thermal diffusivity of nanofluids with different variables such as the size, shape, and concentration of the nanoparticles.

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Thermal-wave resonant cavity signal processing

Shen

Zhou

et al. 2019

Review of Scientific Instruments

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The thermal-wave resonant cavity (TWRC) technique has been used for thermal diffusivity measurements by many researchers. This study aims to reduce the uncertainty associated with TWRC signal processing (curve fitting) by means of numerical simulation and experimental verification. Simulations show that the plot of signal amplitude versus cavity length can be fitted to a simplified model reported previously when the initial fitting position is at least twice the thermal-wave diffusion length (2 μg), and that the uncertainty caused by different end positions is negligible in the range of 6–10 μg. Upon consideration of the simulation results, signal-to-noise ratio, and clearly defined amplitude curve shape, fitting ranges of about 2.2–8.0 μg and 2.2–8.7 μg were chosen for the experimental data. Thermal diffusivity values (1.438 ± 0.001) × 10−7 and (1.436 ± 0.001) × 10−7 m2 s−1, respectively, were obtained for distilled water, in excellent agreement with the accepted literature value. The ratio of standard deviation to the mean value is smaller than 0.07%, one order of magnitude lower than typical results reported in the literature. Similar simulation results were obtained for air and methanol as intra-cavity samples.

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A simplified model for thermal-wave cavity self-consistent measurement of thermal diffusivity

Cited by 4 publications

References 16 publications

Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

Thermal Wavelength Measurement of Nanofluid in an Optical-Fiber Thermal Wave Cavity Technique to Determine the Thermal Diffusivity

Thermal-wave resonant cavity signal processing

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