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超临界CO2压缩因子实验数据的新拟合方程
引用本文:富畅,吴大可,黄旭.超临界CO2压缩因子实验数据的新拟合方程[J].贵州工业大学学报(自然科学版),2005,34(6):8-11.
作者姓名:富畅  吴大可  黄旭
作者单位:贵州大学,化学工程学院,贵州,贵阳,550003
摘    要:提出一个超临界CO2压缩因子实验数据的新的双自变量拟合方程,运用遗传算法优化方程系数,总平均相对误差为1.23%,该方程可直接应用于缔合模型,计算固体在超临界CO2中溶解度。以地西泮在超临界CO2中溶解度为例计算,取得很好的结果。

关 键 词:超临界CO2  压缩因子  拟合方程  遗传算法
文章编号:1009-0193(2005)06-0008-04
收稿时间:2005-06-30
修稿时间:2005-06-30

A New Fit Equation for Compressibility Factor Data of the Supercritical Carbon Dioxide
FU Chang,WU Da-ke,HUANG Xu.A New Fit Equation for Compressibility Factor Data of the Supercritical Carbon Dioxide[J].Journal of Guizhou University of Technology(Natural Science Edition),2005,34(6):8-11.
Authors:FU Chang  WU Da-ke  HUANG Xu
Institution:College of Chemical Engineering, Guizhou University, Guiyang 550003, China
Abstract:A new fit equation with two variables for compressibility factor data of supercritical carbon dioxide was proposed in this article. Parameters of the equation were optimized by using the genetic algorithm. The total average relative deviation resulted from the equation is 1.23 %. The equation can directly be applied to the association model for calculating of solubility of solids in supercritical carbon dioxide. For example, the result of diazepam in supercritical carbon dioxide calculated from the model is very good.
Keywords:supercritical carbon dioxide  compressibility factor  fit equation  genetic algorithm
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