Astudillo-Castro Carolina, Cordova Andrés, Oyanedel-Craver Vinka, Soto-Maldonado Carmen, Valencia Pedro, Henriquez Paola, Jimenez-Flores Rafael
Department of Food Engineering, Pontificia Universidad Católica de Valparaíso, Waddintgon 716, Valparaíso 2360100, Chile.
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.
Foods. 2020 Nov 6;9(11):1621. doi: 10.3390/foods9111621.
Limiting flux (J) determination is a critical issue for membrane processing. This work presents a modified exponential model for J 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), 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 (R > 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 predicted values were correlated with the Reynolds number (Re) for each d tested. Results showed that for a same Re; J increased as d decreased; in a wide range of Re within the turbulent regime. Finally, from dimensionless correlations; a unique expression J = f (Re, d) was obtained; predicting satisfactorily J (R = 84.11%) for the whole set of experiments.
极限通量(J)的测定是膜处理的一个关键问题。本工作基于先前发表的版本,提出了一种用于计算J的修正指数模型。我们的研究聚焦于脱脂乳微滤。所研究的工艺变量包括错流速度(CFV)、膜水力直径(d)、温度和浓缩因子,共计62次实验运行。结果表明,通过添加一个名为最小跨膜压力的新参数,修正后的模型不仅比前一版本提高了实验数据的拟合度(R>97.00%),而且揭示了获得通量(J)所需的最小跨膜压力的存在。这一结果表现为J与跨膜压力曲线向右的小偏移,且该偏移随流速增加。这一事实在其他研究中已有报道,但迄今为止尚未得到深入研究。针对每个测试的d,将J的预测值与雷诺数(Re)相关联。结果表明,在相同的Re下,随着d的减小J增大;在湍流区域内的广泛Re范围内均如此。最后,通过无量纲关联,得到了一个唯一的表达式J = f (Re, d),能够令人满意地预测整个实验集的J(R = 84.11%)。