Prediction of the Limiting Flux and Its Correlation with the Reynolds Number during the Microfiltration of Skim Milk Using an Improved Model

Foods

Vinka Oyanedel-Craver¹  Pedro Valencia²  Carolina Astudillo-Castro³  Andrés Cordova³  Paola Henriquez³  Rafael Jimenez-Flores⁴  Carmen Soto-Maldonado⁵ 

[1] Civil and Environmental Engineering, College of Engineering, University of Rhode Island, Fascitelli Center for Advanced Engineering 317, 2 East Alumni Avenue, Kingston, RI 02881, USA;Department of Chemical and Environmental Engineering, Technical, Universidad Técnica Federico Santa Maria Avenida España 1680, Valparaíso 2340000, Chile;Department of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddintgon 716, Valparaíso 2360100, Chile;Department of Food Science and Technology, The Ohio State University, Building 064, 2015 Fyffe Ct. Columbus, OH 43210, USA;Regional Center for Studies in Healthy Food. Av. Universidad 330, Placilla, Sector Curauma, Valparaíso 2340000, Chile;

关键词: hydraulic diameter;    limiting flux;    Reynolds number;    skim milk;    microfiltration;    ceramic membranes;   

DOI  :  10.3390/foods9111621

来源: DOAJ

【 摘 要 】

Limiting flux (J_L) determination is a critical issue for membrane processing. This work presents a modified exponential model for J_L calculation, based on a previously published version. Our research focused on skim milk microfiltrations. The processing variables studied were the crossflow velocity (CFV), membrane hydraulic diameter (d_h), temperature, and concentration factor, totaling 62 experimental runs. Results showed that, by adding a new parameter called minimum transmembrane pressure, the modified model not only improved the fit of the experimental data compared to the former version (R² > 97.00%), but also revealed the existence of a minimum transmembrane pressure required to obtain flux (J). This result is observed as a small shift to the right on J versus transmembrane pressure curves, and this shift increases with the flow velocity. This fact was reported in other investigations, but so far has gone uninvestigated. The J_L predicted values were correlated with the Reynolds number (Re) for each d_h tested. Results showed that for a same Re; J_L increased as d_h decreased; in a wide range of Re within the turbulent regime. Finally, from dimensionless correlations; a unique expression J_L = f (Re, d_h) was obtained; predicting satisfactorily J_L (R² = 84.11%) for the whole set of experiments

【 授权许可】

Unknown