MODELING AND CONTROL OF CRYSTALLIZERS

被引:43
作者
RAWLINGS, JB
WITKOWSKI, WR
EATON, JW
机构
[1] Department of Chemical Engineering, The University of Texas at Austin, Austin
关键词
D O I
10.1016/0032-5910(92)85002-D
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper provides an overview of modelling, measurement, identification and control issues arising in crystallizers. The crystal size distribution is modelled with a population balance. The remaining reactor states, such as concentrations and temperature, are modelled with integro-differential equations. The models are solved numerically with global orthogonal collocation for continuous reactors and orthogonal collocation on finite elements for batch reactors. The ill-conditioned problem of estimating crystal size distribution from laser light scattering data is examined. The estimation of crystallization kinetic constants from supersaturation data and light scattering data is also discussed. Finally control problems are discussed and an optimal batch crystallization temperature profile is computed.
引用
收藏
页码:3 / 9
页数:7
相关论文
共 14 条
[1]  
[Anonymous], 1988, NONLINEAR REGRESSION
[2]  
Bard Y., 1974, NONLINEAR PARAMETER
[3]   SENSITIVITY ANALYSIS OF INITIAL-VALUE PROBLEMS WITH MIXED ODES AND ALGEBRAIC EQUATIONS [J].
CARACOTSIOS, M ;
STEWART, WE .
COMPUTERS & CHEMICAL ENGINEERING, 1985, 9 (04) :359-365
[4]  
CARACOTSIOS M, 1986, THESIS U WISCONSIN M
[5]   INVERSION TECHNIQUES FOR DETERMINING DROPLET SIZE DISTRIBUTION IN CLOUDS - NUMERICAL EXAMINATION [J].
CHOW, LC ;
TIEN, CL .
APPLIED OPTICS, 1976, 15 (02) :378-383
[6]  
EATON JW, 1990, COMPUT CHEM ENG, V14
[7]  
Lapidus L, 1982, NUMERICAL SOLUTION P
[8]  
PETZOLD L., 1982, IMACA WORLD C MONTR, P1
[9]  
RAWLINGS JB, 1988, NOV NAT AICHE M WASH
[10]  
SUBRAMANIAN G, 1971, Mathematical Biosciences, V10, P1, DOI 10.1016/0025-5564(71)90050-2