DocumentCode
510165
Title
Efficient Optimization of Multi-components Separating Process
Author
Junhui, Fu ; QingBo, Meng ; Xueyong, Li ; Jingqiao, Lu
Author_Institution
Henan Inst. of Sci. & Technol., Xinxiang, China
Volume
2
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
78
Lastpage
82
Abstract
With the rapid increase of the market demands, Pharmaceutical products, fine chemicals and food, particularly food function factors, are subject to more and more complex standards and stricter restrictions, thus efficient methods for the separation of those sensitive products are needed. Chromatographic processes provide an effective method for the separation of multicomponent mixtures in which the components have different adsorption affinities. As an alternative to conventional discontinuous batch chromatography process, the simulated moving bed (SMB) chromatographic separation process is a continuous process and has gained more and more application in many fields recently. However, optimization of SMB processes is still a challenging task. SMB processes exhibit strong nonlinear behavior and they are of periodic nature. In this paper, the dynamic optimization problem arising from SMB processes is presented, and the optimization results have been discussed and the roles of these parameters have been clarified.
Keywords
batch processing (industrial); chemical engineering computing; chromatography; optimisation; chromatographic processes; conventional discontinuous batch chromatography process; fine chemicals; food function factors; multicomponents separating process; optimization; pharmaceutical products; simulated moving practitioners bed chromatographic separation process; Artificial intelligence; Cascading style sheets; Chemical technology; Computational intelligence; Feeds; Food technology; Pharmaceutical technology; Production; Solvents; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.444
Filename
5376388
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