论文部分内容阅读
根据Gibbs和Langmuir两种关系式,推导出表面张力(σ)与浓度(c)相关的数学模型。用免疫进化算法(IEA)优化模型中的参数,计算正丁醇溶液的最大饱、吸附量和分子的横截面积,结果与文献值相一致。免疫进化算法用于表面张力的数据处理,平均相对误差为1.77%,取得满意结果。免疫进化算法用于计算正丁醇分子的横截面积,原理直观、简便、易行,不必知道其不同浓度中,表面张力的内在机理,为计算其溶液的最大饱和吸附量和分子横截面积、表面张力的数据处理及参数优化,另辟新径。
According to the Gibbs and Langmuir relationship, the mathematical model of surface tension (σ) and concentration (c) is deduced. The parameters in the model were optimized by immune evolutionary algorithm (IEA), and the maximum saturated adsorption capacity and molecular cross-sectional area of n-butanol solution were calculated. The results are consistent with the literature values. The immune evolutionary algorithm is used for the data processing of surface tension, with an average relative error of 1.77%, and satisfactory results are obtained. The immune evolutionary algorithm is used to calculate the cross-sectional area of n-butanol molecules. The principle is intuitive, simple and easy to operate. It is not necessary to know the intrinsic mechanism of surface tension in different concentrations. To calculate the maximum saturated adsorption capacity and molecular cross-sectional area , Surface tension data processing and parameter optimization, another new path.