NUMERICAL ASPECTS OF DIRECT QUADRATURE-BASED MOMENT METHODS FOR SOLVING THE POPULATION BALANCE EQUATION
被引:4
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作者:
Santos, F. P.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, BrazilUniv Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, Brazil
Santos, F. P.
[1
]
Lage, P. L. C.
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h-index: 0
机构:
Univ Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, BrazilUniv Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, Brazil
Lage, P. L. C.
[1
]
Fontes, C. E.
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机构:
ESSS, BR-20210031 Rio De Janeiro, RJ, BrazilUniv Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, Brazil
Fontes, C. E.
[2
]
机构:
[1] Univ Fed Rio de Janeiro, COPPE, Programa Engn Quim, BR-21941972 Rio De Janeiro, RJ, Brazil
Population balance;
Numerical methods;
DQMoM;
Generalized moments;
Condition number;
QMOM;
D O I:
10.1590/S0104-66322013000300021
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
Direct-quadrature generalized moment based methods were analysed in terms of accuracy, computational cost and robustness for the solution of the population balance problems in the [0,infinity) and [0,1] domains. The minimum condition number of the coefficient matrix of their linear system of equations was obtained by global optimization. An heuristic scaling rule from the literature was also evaluated. The results indicate that the methods based on Legendre generalized moments are the most robust for the finite domain problems, while the DQMoM formulation that solves for the abscissas and weights using the heuristic scaling rule is the best for the infinite domain problems.
机构:
Iowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USAIowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
Yuan, Cansheng
Kong, Bo
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机构:
Iowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USAIowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
Kong, Bo
Passalacqua, Alberto
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机构:
Iowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
Iowa State Univ, Dept Mech Engn, Ames, IA 50011 USAIowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
Passalacqua, Alberto
Fox, Rodney O.
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机构:
Iowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USAIowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
Fox, Rodney O.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING,
2014,
92
(12):
: 2053
-
2066