Experimental analysis and compartmental modeling of the residence time distribution in DN6 and DN15 continuous oscillatory baffled crystallizer (COBC) systems

被引:8
作者
Egedy, Attila [1 ]
Oliva, Joseph A. [2 ]
Szilagyi, Botond [2 ]
Nagy, Zoltan K. [2 ,3 ]
机构
[1] Univ Pannonia, Fac Engn, Dept Proc Engn, 10th Egyet Str, H-8200 Veszprem, Hungary
[2] Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47907 USA
[3] Loughborough Univ, Dept Chem Engn, Loughborough LE11 3TU, Leics, England
关键词
COBC; Compartmental model; Oscillatory flow; Residence time distribution;
D O I
10.1016/j.cherd.2020.07.011
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Compartment models (CMs) are widely used to capture typical hydrodynamic features of systems, generally having low computational cost. The main building blocks of the CMs are the continuous stirred tank reactor and plug flow reactor models. In this study, the hydrodynamics of two laboratory scale continuously oscillated baffled crystallizer systems were investigated: the commercially available DN15 and a scaled down version known as the DN6. CM structures were identified based on residence time distribution (RTD) measurements by direct fitting method for both the DN6 and DN15 systems, which showed superior performance compared to the traditional tank in series CM structure determination. To attain a more accurate CM calibration, the piston and pump flowrates obtained by the typical peristaltic pump configurations were thoroughly analyzed. The investigations revealed that the behavior of the systems varies based on the oscillation amplitudes and frequencies, so the number of compartments required for an adequate model was identified based on measurement with different amplitudes and frequencies. It is shown that adaptive tank in series CMs are needed to capture the measured RTD characteristics over a broad piston operation range. Not only the RTD curves but the calculated compartment numbers follow similar trends in DN6 and DN15. This enabled the generalization of the CM structure for the DN6 and DN15 systems. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of Institution of Chemical Engineers.
引用
收藏
页码:322 / 331
页数:10
相关论文
共 17 条
[1]  
[Anonymous], 2006, RADIOACTIVITY ENV, V8, DOI [10.1016/51569-4860(05108037-X, DOI 10.1016/51569-4860(05108037-X]
[2]   Compartment model for a dual fluidized bed biomass gasifier [J].
Arora, Pratham ;
Hoadley, Andrew F. A. ;
Mahajani, Sanjay M. ;
Ganesh, Anuradda .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2017, 117 :274-286
[3]   Mesh adaptive direct search algorithms for constrained optimization [J].
Audet, C ;
Dennis, JE .
SIAM JOURNAL ON OPTIMIZATION, 2006, 17 (01) :188-217
[4]   Principal component analysis [J].
Bro, Rasmus ;
Smilde, Age K. .
ANALYTICAL METHODS, 2014, 6 (09) :2812-2831
[5]   Compartment based population balance modeling of a high shear wet granulation process using data analytics [J].
Chaudhury, Anwesha ;
Armenante, Marco Euclide ;
Ramachandran, Rohit .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2015, 95 :211-228
[6]   Compartmental model for nitrogen dynamics in citrus orchards [J].
Contreras, W. A. ;
Lidon, A. L. ;
Ginestar, D. ;
Bru, R. .
MATHEMATICAL AND COMPUTER MODELLING, 2009, 50 (5-6) :794-805
[7]   Bluetongue transmission and control in Europe: A systematic review of compartmental mathematical models [J].
Courtejoie, Noemie ;
Zanella, Gina ;
Durand, Benoit .
PREVENTIVE VETERINARY MEDICINE, 2018, 156 :113-125
[8]   CFD-based compartment model for description of mixing in bioreactors [J].
Delafosse, Angelique ;
Collignon, Marie-Laure ;
Calvo, Sebastien ;
Delvigne, Frank ;
Crine, Michel ;
Thonart, Philippe ;
Toye, Dominique .
CHEMICAL ENGINEERING SCIENCE, 2014, 106 :76-85
[9]   Behaviour of two-compartment models [J].
Feng, JF ;
Li, GB .
NEUROCOMPUTING, 2001, 38 :205-211
[10]  
Fogarasi S, 2014, COMPUT-AIDED CHEM EN, V33, P1255