مدل سازي فرايند اولترافيلتراسيون شير با استفاده از سيستم استنتاج فازي

Modeling of Milk Ultrafiltration Process Using Fuzzy Inference Systems

Milk ultrafiltration is a membrane process where it is subjected to a hydrodynamic pressure difference across a porous membrane that causes the process to be highly complex innature. In this paper, fuzzy inference systems have been used to. model and simulate the crossflow ultrafiltration of milk in a dynamic manner. The primary aim of this work was to predict permeate flux, fouling and the milk components rejection (i.e., protein, fat, lactose, and total solids), using Mamdani and Takagi-Sugeno models. The results shows that the permeate flux and the fouling resistance vary with time for each variables. Furthermore, the protein rejection is almost constant for each parameter with time; however, the rejection of other components has been raised significantly with time. The findings of this work also revealed that by applying fuzzy inference systems we can predict the permeate flux and the total hydraulic resistance and compute the system errors. Furthermore, the comparison of the two models also demonstrates that the Mamdani model exhibits a better result than that of the Takagi-Sugeno model.