首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Application of Homotopy-Newton Hybrid Method for Predicting Azeotropes
作者姓名:宋海华  宋高鹏  张大鹏
作者单位:School of Chemical Engineering and Technology Tianjin University,School of Chemical Engineering and Technology Tianjin University,School of Chemical Engineering and Technology Tianjin University,Tianjin 300072 China Tianjin 300072 China Tianjin 300072 China
摘    要:* In the separation operations of process industry,we often encounter some systems in which the relativevolatilities between components are close to one,or azeotropes are generated, and it is unreasonable ineconomy or unfeasible in technology that the conven-tional distillation is used to separate these systems. Ifthe azeotropic distillation is utilized for separatingthese mixtures, the knowledge about the compositionand boiling temperature of the azeotropes must be wellknown. The accurate pre…

关 键 词:同伦-牛顿混合法  共沸混合物  预报  牛顿算法
收稿时间:2005-11-25

Application of Homotopy-Newton Hybrid Method for Predicting Azeotropes
SONG Haihua,SONG Gaopeng,ZHANG Dapeng.Application of Homotopy-Newton Hybrid Method for Predicting Azeotropes[J].Transactions of Tianjin University,2006,12(5):355-358.
Authors:SONG Haihua  SONG Gaopeng  ZHANG Dapeng
Abstract:A homotopy-Newton hybrid method is proposed for predicting azeotropes, in which the set of homotopy equations with larger convergent domain is solved firstly to generate the better initial guess, then Newton algorithm is used to solve the azeotrope equations. It has been proved through some illustrative examples that the hybrid method has concurrently the advantages of the wide range of convergence, flexible demand for initial guess and good smoothness of iterative process as the homotopy algorithm, and the rapid convergent speed and high accuracy as Newton's method.So the hybrid method is a prospective approach to predicting the azeotropes of nonideal mixtures.
Keywords:homotopy-Newton hybrid method  azeotrope  prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号