Unbound Water Content From Application of Adsorption Theory.

William V Loebenstein
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引用次数: 1

Abstract

It is standard procedure to fit an applicable isotherm equation to water vapor adsorption data using the method of least squares in arriving at a value for the surface area accessible to the water molecule. The least squares technique has been extended in the present investigation to determine, in addition and simultaneously, a "best value" for the zero-humidity sample weight of the material. The application is equally valid for desorption insofar as the zero-humidity weight is concerned, although the derived value for "surface area" from desorption data will be over-estimated in the general case because of hysteresis. There is no limitation on the range of humidities since the method is not restricted to the BET equation (i.e., between 0.1 and 0.3 r.h.). In fact, good agreement with the zero-humidity points measured experimentally has been obtained even from drying curves in which the relative humidity has been confined to the region above 50 percent. An iterative method is employed in the calculations for which computer assistance is especially adaptable. Fortran IV programs are included in the appendix whose use requires no extensive computer experience. A fraction of a second in computer processing time is all that is required for each determination.

从吸附理论的应用看非结合水含量。
用最小二乘法拟合适用于水蒸气吸附数据的等温线方程,以求得水分子可接近的表面积值,这是标准程序。在目前的研究中,最小二乘技术已得到扩展,以确定材料的零湿度样品重量的“最佳值”。就零湿度重量而言,该应用同样适用于解吸,尽管在一般情况下,由于滞后,从解吸数据导出的“表面积”值将被高估。由于该方法不限于BET方程(即0.1和0.3 r.h之间),因此对湿度范围没有限制。事实上,即使从相对湿度被限制在50%以上的区域的干燥曲线中,也得到了与实验测量的零湿度点的良好吻合。在计算中采用迭代法,计算机辅助特别适用。Fortran IV程序包含在附录中,其使用不需要广泛的计算机经验。计算机处理时间的几分之一秒就是每次测定所需的全部时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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