|Table of Contents|

Model Calculation and Data Process of Solution Crystallization Based on MATLAB

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2011年04期
Page:
567-572
Research Field:
Publishing date:

Info

Title:
Model Calculation and Data Process of Solution Crystallization Based on MATLAB
Author(s):
HUANG De-chunDAI LinSHI Yi-qiangWANG Zhi-xiang
School of Pharmacy,China Pharmaceutical University,Nanjing 210009,China
Keywords:
MATLAB crystallization models nonlinear equation interpolation and derivatives multiple regression differential equation
PACS:
TQ015. 9
DOI:
-
Abstract:
To further discuss the high efficient application of MATLAB software in the modern chemical engineering designs and calculations, the unit operation of solution crystallization is selected as an example,and with computer programming, the relative model calculations and data processes are performed around several common variables used in crystallization researches. The equilibrium temperature and the pipeline transportation parameters of crystallization solution are obtained using the numerical algorithm designed for nonlinear equation ( or equation group) . The solution concentration data and the corresponding derivatives are acquired by the numerical analysis method of cubic spline function interpolation. The process kinetics parameters of crystallization system are estimated with the calculation of nonlinear multiple regression. The concentration curve of crystallization solution is calculated by means of the Runge-Kutta algorithm dealing with the differential equation. The study results show that the above calculation programs are convenient to be compiled and their running is highly efficient,and the calculated curve and parameter values are also well accorded with the general range of engineering data,manifesting again the convenience and reliability characteristics of MATLAB programming calculation.

References:

[1] 冯长君,堵锡华,沐来龙. 用新型连接性指数与神经网 络预测取代苯酚和取代苯甲酸生物降解性[J]. 南京 理工大学学报, 2009, 33( 5) : 700-706.
[2] 李本祥,黄新荣,曾盔. Matlab 在化工数据及模型参 数拟合中的应用[J]. 计算机与应用化学,2007, 24( 9) : 1197-1200.
[3] Logist F,Saucez P,Van Impe J,et al. Simulation of ( bio) chemical processes with distributed parameters using Matlab [J]. Chemical Engineering Journal, 2009, 155( 3) : 603-616.
[4] 杨中凯,刘辉,李建伟,等. 用Matlab 软件预测固体 在超临界流体中的溶解度[J]. 计算机与应用化学, 2007, 24( 5) : 614-616.
[5] 柳林,杨竹青. MATLAB 6. 5 辅助神经网络分析与设 计[M]. 北京: 电子工业出版社, 2003.
[6] 黄德春,刘巍,王志祥,等. 基于光测法的晶种量对 结晶动力学影响研究[J]. 南京理工大学学报, 2009, 33( 3) : 393-398.
[7] 程华农,陈崇春,孔令启,等. Matlab 在乙醇胺反应 动力学方程回归和预测中的运用[J]. 计算机与应 用化学, 2009, 26( 2) : 240-244.
[8] 孙志忠,袁慰平,闻震初. 数值分析[M]. 2 版. 南京: 东南大学出版社, 2002.
[9] Patience D B,Rawlings J B,Mohameed H A. Crystallization of para-xylene in scraped-surface crystallizers [J]. AIChE J, 2001, 47( 11) : 2441-2451.
[10] 姚玉英. 化工原理( 上册) [M]. 2 版. 天津: 天津科 学技术出版社, 2004.
[11] 马正飞,殷翔. 数学计算方法与软件的工程应用 [M]. 北京: 化学工业出版社, 2002.
[12] Miller S M. Modeling and quality control strategies for batch cooling crystallizers[D]. Austin: Chemical Engineering Department at the University of Texas, 1993.
[13] Angelov I,Raischa J,Elsner M P, et al. Optimal operation of enantio separation by batch-wise preferential crystallization [J]. Chemical Engineering Science,2008,63 ( 5) : 1282-1292.
[14] Nagy Z K. Model based robust control approach for batch crystallization product design [J]. Computers and Chemical Engineering, 2009, 33( 10) : 1685-1691.

Memo

Memo:
-
Last Update: 2012-10-23