Computational modeling of batch stirred tank reactor based on spherical catalyst particles

2018 ◽  
Vol 57 (1) ◽  
pp. 327-342 ◽  
Author(s):  
Romas Baronas ◽  
Juozas Kulys ◽  
Linas Petkevičius
2019 ◽  
Vol 24 (6) ◽  
Author(s):  
Antanas Žilinskas ◽  
Romas Baronas ◽  
Linas Litvinas ◽  
Linas Petkevičius

This paper presents a Bayesian approach rooted algorithm oriented to the properties of multi-objective optimization problems. The performance of the developed algorithm is compared with several other multi-objective optimization algorithms. The approach is applied to the multiobjective optimization of a batch stirred tank reactor based on spherical catalyst microreactors. The microbioreactors are computationally modeled by a two-compartment model based on reaction–diffusion equations containing a nonlinear term related to the Michaelis–Menten enzyme kinetics. A two-stage visualization procedure based on the multi-dimensional scaling is proposed and applied for the visualization of trade-off solutions and for the selection of favorable configurations of the bioreactor.


1979 ◽  
Vol 44 (7) ◽  
pp. 2184-2195
Author(s):  
Vladimír Herles ◽  
Jan Čermák ◽  
Antonín Havlíček

The paper deals with the analysis of the dynamic behavior of the 1st order system with two random parameters. The theoretical results have been compared with experiments on flow model of a stirred tank reactor.


2009 ◽  
Vol 11 (36) ◽  
pp. 7885 ◽  
Author(s):  
Dung L. Che ◽  
Jared D. Smith ◽  
Stephen R. Leone ◽  
Musahid Ahmed ◽  
Kevin R. Wilson

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