Simultaneous retrieval of high temperature thermal conductivities, anisotropic radiative properties, and thermal contact resistance for ceramic foams

Zhao, Shaorong; Sun, Xiuhua; Li, Zhengyu; Xie, Weihua; Meng, Sheng; Wang, Chao; Zhang, Wenjiao

doi:10.1016/j.applthermaleng.2018.10.021

Cited by 16 publications

(5 citation statements)

References 53 publications

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“…Among others, Zaversky et al [ 4 ] used the correlation given by Hendricks and Howell with C = 4.8 for their investigation and optimization of radiative heat transfer in SiC foams as solar absorbers when applying discrete ordinate method for the solution of the RTE. Furthermore, Zhao et al [ 24 ] found good agreement between their temperature‐depending, experimentally determined extinction coefficients of alumina foams and the values estimated by the model of Hendricks and Howell.…”

Section: Literature Study: Models For the Prediction Of The Extinctio...mentioning

confidence: 80%

Experimental and Simplified Predictive Determination of Extinction Coefficients of Ceramic Open‐Cell Foams Used for Metal Melt Filtration

et al. 2021

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A main application area of ceramic open‐cell foams is the foundry, where the porous media are used for conditioning and filtration of the melt flow. As characterization of heat transfer in such high‐temperature applications requires consideration of thermal radiation, knowledge of the radiative properties of the foams is essential. Instead of elaborative measurements or simulations, empirical correlations often serve as a simple and fast method to predict extinction coefficients. However, significant differences up to 100 m−1 occur between calculated values of various models presented in the literature. Herein, it is aimed to characterize the radiation behavior of different ceramic foams experimentally and identify reliable, simple yet accurate methods for the prediction of extinction coefficients of these materials by comparison with experimental results. The influences of pore density (10 and 20 pores per inch [ppi]) and filter material (Al2O3, ZrO2, SiC, Al2O3−C) on the transmittance, reflectance, and extinction coefficients are investigated by spectroscopic measurements. Two models from the literature are determined, which are well suited to predict extinction coefficients with an average deviation of less than 20%. Furthermore, accurate estimation with an average deviation of 12% can be also achieved using a projection method based on computed tomography scans of the foams.

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Section: Literature Study: Models For the Prediction Of The Extinctio...mentioning

confidence: 80%

Experimental and Simplified Predictive Determination of Extinction Coefficients of Ceramic Open‐Cell Foams Used for Metal Melt Filtration

et al. 2021

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“…Lazard et al [8] retrieved the thermal diffusivity, the Plank number, and a global radiative transfer coefficient (defined from the absorption coefficient, the scattering coefficient, and the slab thickness) of an absorbing and isotropic scattering slab from transient temperature measurement, and the authors estimated the variance of the retrieved parameters. Zhao et al [9,10] performed transient temperature measurements of fibrous insulation, and retrieved the conductive and radiative properties by solving an inverse problem; the uncertainties of the retrieved parameters were evaluated from the standard deviation of the measured temperature response. Several similar studies, which aimed to estimate the thermophysical properties of anisotropic composite [11], the thermal conductivity and heat capacity of an orthotropic medium [12], and the conductive and radiative properties of participating medium [13,14], were also performed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Experimental Design for Inverse Identification of Conductive and Radiative Properties of Participating Medium

Hua

Chen

et al. 2021

Energies

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The conductive and radiative properties of participating medium can be estimated by solving an inverse problem that combines transient temperature measurements and a forward model to predict the coupled conductive and radiative heat transfer. The procedure, as well as the estimates of parameters, are not only affected by the measurement noise that intrinsically exists in the experiment, but are also influenced by the known model parameters that are used as necessary inputs to solve the forward problem. In the present study, a stochastic Cramér–Rao bound (sCRB)-based error analysis method was employed for estimation of the errors of the retrieved conductive and radiative properties in an inverse identification process. The method took into account both the uncertainties of the experimental noise and the uncertain model parameter errors. Moreover, we applied the method to design the optimal location of the temperature probe, and to predict the relative error contribution of different error sources for combined conductive and radiative inverse problems. The results show that the proposed methodology is able to determine, a priori, the errors of the retrieved parameters, and that the accuracy of the retrieved parameters can be improved by setting the temperature probe at an optimal sensor position.

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“…According to the definition of TCR, the steady-state method was developed for TCR measurement by determining the temperatures on the contact interface and applied heat flux [15][16][17]. For transient methods, TCR is known by measuring the changes in correlated parameters under an applied thermal disturbance [18][19][20]. For instance, the intrinsic relationship between TCR and contact resistance is employed to determine TCR by measuring contact resistance [21].…”

Section: Introductionmentioning

confidence: 99%

Measurement of the Thermophysical Properties of Anisotropic Insulation Materials with Consideration of the Effect of Thermal Contact Resistance

et al. 2020

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A novel method involving the effect of thermal contact resistance (TCR) was proposed using a plane heat source smaller than the measured samples for improving measurement accuracy of the simultaneous determination of in-plane and cross-plane thermal conductivities and the volumetric heat capacity of anisotropic materials. The heat transfer during the measurement process was mathematically modeled in a 3D Cartesian coordinate system. The temperature distribution inside the sample was analytically derived by applying Laplace transform and the variables separation method. A multiparameter estimation algorithm was developed on the basis of the sensitivity analysis of the parameters to simultaneously estimate the measured parameters. The correctness of the algorithm was verified by performing simulation experiments. The thermophysical parameters of insulating materials were experimentally measured using the proposed method at different temperatures and pressures. Fiber glass and ceramic insulation materials were tested at room temperature. The measured results showed that the relative error was 1.6% less than the standard value and proved the accuracy of the proposed method. The TCRs measured at different pressures were compared with those obtained using the steady-state method, and the maximum deviation was 8.5%. The thermal conductivity obtained with the contact thermal resistance was smaller than that without the thermal resistance. The measurement results for the anisotropic silica aerogels at different temperatures and pressures revealed that the thermal conductivity and thermal contact conductance increased as temperature and pressure increased.

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Simultaneous retrieval of high temperature thermal conductivities, anisotropic radiative properties, and thermal contact resistance for ceramic foams

Cited by 16 publications

References 53 publications

Experimental and Simplified Predictive Determination of Extinction Coefficients of Ceramic Open‐Cell Foams Used for Metal Melt Filtration

Experimental and Simplified Predictive Determination of Extinction Coefficients of Ceramic Open‐Cell Foams Used for Metal Melt Filtration

Optimal Experimental Design for Inverse Identification of Conductive and Radiative Properties of Participating Medium

Measurement of the Thermophysical Properties of Anisotropic Insulation Materials with Consideration of the Effect of Thermal Contact Resistance

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