Evaluation of Moisture Diffusivity from Pore Distribution Curves for a Ceramic Brick

IF 2.5 4区 工程技术 Q3 CHEMISTRY, PHYSICAL
Igor Medved’, Robert Černý
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引用次数: 0

Abstract

The 1D moisture diffusivity of porous materials may strongly depend on the content of moisture in the materials, varying over an order of magnitude or more. In this paper we present a new model from which the diffusivity can be evaluated, using the pore size distribution and water absorption coefficient. We point out that this is a more efficient approach than the standard Boltzmann–Matano (BM) method, because measurements of pore curves and water absorption are much shorter and rather accurate compared to moisture profile experiments needed in the BM method. As an example, we apply our model to two samples of a ceramic brick for which experimental data on both pore curves and moisture profiles had been measured. A very good quantitative agreement in the diffusivity is obtained for early stage profiles. For later stages, however, the model predicts three to four times higher diffusivity than the BM method. The reasons for this discrepancy are discussed and further tasks to validate the effectiveness of the new model are proposed. We also compare our model with the pore models of Burdine and Mualem.

Abstract Image

根据陶瓷砖的孔隙分布曲线评估湿气扩散率
多孔材料的一维湿气扩散率可能在很大程度上取决于材料中的水分含量,变化幅度可达一个数量级或更大。在本文中,我们提出了一种新的模型,可以利用孔径分布和吸水系数来评估扩散率。我们指出,与标准的玻尔兹曼-马塔诺(BM)方法相比,这是一种更有效的方法,因为与玻尔兹曼-马塔诺方法所需的湿度曲线实验相比,孔隙曲线和吸水率的测量时间更短,精度更高。例如,我们将模型应用于两个陶瓷砖样品,这些样品的孔隙曲线和湿度曲线的实验数据都已测量过。对于早期阶段的曲线,扩散率的定量分析结果非常一致。然而,对于后期阶段,模型预测的扩散率要比 BM 方法高出三到四倍。我们讨论了造成这种差异的原因,并提出了验证新模型有效性的进一步任务。我们还将我们的模型与 Burdine 和 Mualem 的孔隙模型进行了比较。
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来源期刊
CiteScore
4.10
自引率
9.10%
发文量
179
审稿时长
5 months
期刊介绍: International Journal of Thermophysics serves as an international medium for the publication of papers in thermophysics, assisting both generators and users of thermophysical properties data. This distinguished journal publishes both experimental and theoretical papers on thermophysical properties of matter in the liquid, gaseous, and solid states (including soft matter, biofluids, and nano- and bio-materials), on instrumentation and techniques leading to their measurement, and on computer studies of model and related systems. Studies in all ranges of temperature, pressure, wavelength, and other relevant variables are included.
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