研究目的
To investigate the influence of the texture of fused silica glasses containing unconnected spherical bubbles on their thermal radiative properties by combining experimental measurements and numerical simulations.
研究成果
The combination of experimental and numerical methods provides a robust framework for analyzing radiative properties of semi-transparent heterogeneous materials. Geometric optics is validated for porous silica with unconnected bubbles. The approach allows extraction of material characteristics (e.g., OH content) and prediction of radiative properties, overcoming experimental limitations. The modified two-flux approximation is effective for modeling such materials.
研究不足
The study assumes geometric optics is applicable, which may not hold for very small pores relative to wavelength. Experimental measurements are limited to sample sizes of a few millimeters, whereas industrial applications may involve larger thicknesses. The method may be time-consuming and computationally intensive for very complex textures.
1：Experimental Design and Method Selection:
The study combines experimental measurements (infrared spectroscopy for emittance, X-ray microtomography for texture) and numerical simulations (Monte Carlo ray tracing, image analysis) to analyze radiative properties. Geometric optics and statistical models (e.g., log-normal distributions) are employed.
2：Sample Selection and Data Sources:
Two porous silica samples (S1 and S2) with different porosities, and non-porous reference samples (OH-free and Spectrosil 2000 silica) were used. Data from X-ray microtomography and FT-IR spectrometers were acquired.
3：List of Experimental Equipment and Materials:
Equipment includes a Nanotom 180NF CT-scanner (GE Phoenix|X-ray), FT-IR spectrometers (Bruker Vertex 70 and 80v), CO2 laser (Coherent K500), blackbody furnace (Pyrox PY8), and computational tools for image analysis and simulation.
4：Experimental Procedures and Operational Workflow:
Samples were prepared by cutting and polishing. X-ray microtomography was performed with specific voltage and current settings, followed by image segmentation. Emittance measurements were done at 1200 K using FT-IR spectroscopy, with temperature stabilization and data acquisition in the semi-transparent range.
5：Data Analysis Methods:
Image analysis used mathematical morphology for segmentation. Numerical simulations involved Monte Carlo ray tracing for emittance calculation, and optimization for OH content. Statistical fitting (e.g., log-normal distributions) and models like the modified two-flux approximation were applied.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
