Modeling Analysis on Nanofiltration Membrane Contamination Prediction Based on Logistic Equation
To solve the problem that membrane contamination of nanofiltration membrane,a widely used membrane kind at present,greatly limited development of nanofiltration membrane process,so as to better predict the process of nano-filtration membrane contamination under cross-flow filtration conditions and provide guidance for mitigating nanofiltration membrane contamination,logistic equation was used to fit nanofiltration membrane flux decay curves and establish a logistic nanofiltration membrane contamination prediction model.The established model was used to fit the membrane flux decay curves of different types of nanofiltration membrane,and to investigate effects of key factors such as contaminant kind,nanofiltration membrane type,transmembrane pressure difference,cross-flow rate,and hydraulic conditions on decay rate of nanofiltration membrane flux.The results show that the established model passes the significance test,the fitting degree of experimental data and fitting data of the established model is high,and the coefficient of determination R2 is greater than 0.95.The smaller the decay rate of nanofiltration membrane flux is,the greater the cumulative decay rate of nanofiltration membrane flux after filtration stabilization is.Operating conditions and original water quality conditions can then be adjusted to achieve the purposes of adjusting the decay rate of nanofiltration membrane flux and reducing nanofiltration membrane pollution.
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