A least-squares method with direct minimization for the solution of the breakage-coalescence population balance equation

被引:28
|
作者
Zhu, Zhengjie [1 ]
Dorao, C. A. [2 ]
Jakobsen, H. A. [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Chem Engn, N-7491 Trondheim, Norway
[2] SINTEF Mat & Chem, N-7465 Trondheim, Norway
关键词
Population balance equation; Least-squares method; Direct minimization; QR decomposition;
D O I
10.1016/j.matcom.2008.05.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A least-squares method with a direct minimization algorithm is introduced to solve the non-linear population balance equation that consists of both breakage and coalescence terms. The least-squares solver, direct minimization solver together with a finite difference solver are implemented for comparisons. It is shown that the coalescence term introduces a strong non-linear behavior which can affect the robustness of the numerical solvers. In the comparison with the least-squares method. the direct minimization method is proved to be capable of producing equally accurate results, while its formulation is better conditioned. In the case of a non-linear population balance equation system, the direct minimization method converges faster than the standard least-squares method. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:716 / 727
页数:12
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