Fuzzy Modeling of the Permeate Flux Decline during Microfiltration of Starch Suspensions

被引：5
|
作者：
Ikonic, Bojana B. [1 ]
Takaci, Aleksandar A. [1 ]
Zavargo, Zoltan Z. [1 ]
Seres, Zita N. [1 ]
Saranovic, Zana V. [2 ]
Ikonic, Predrag M. [3 ]
机构：
[1] Univ Novi Sad, Fac Technol, Novi Sad 21000, Serbia
[2] AD Fidelinka, Fidelinka Starch, Subotica, Serbia
[3] Univ Novi Sad, Inst Food Technol, Novi Sad 21000, Serbia
来源：
CHEMICAL ENGINEERING & TECHNOLOGY | 2014年 / 37卷 / 04期
关键词：
Fuzzy modeling; Microfiltration; Permeate flux; Starch suspension; CROSS-FLOW MICROFILTRATION; COLLOIDAL SUSPENSIONS; MEMBRANE FILTRATION; TURBULENCE PROMOTER; NEURAL-NETWORKS; PREDICTION; ULTRAFILTRATION; ENHANCEMENT; PERFORMANCE; REMOVAL;
D O I：
10.1002/ceat.201300550
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
Flux declines versus time during cross-flow microfiltration of wheat starch suspensions were modeled using fuzzy logic systems under different conditions of transmembrane pressure, flow rate, and suspension concentration. Fuzzy modeling is one of the most efficient methods for empirical modeling, especially for non-linear systems, and does not require any prior knowledge about the process. The influence of the process parameters on the dynamic behavior of the permeate flux was determined by comparing the permeate flux decline versus the volume curves, considering a constant value of the volumetric concentration factor during batch cross-flow filtration. At the transient stages of the filtration process, the permeate flux was shown to be strongly dependent on all process parameters, within the examined range.
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页码：709 / 716
页数：8
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