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Wastewater treatment by ultrafiltration system, considering the effects of operating conditions: experimental and modeling

机译:考虑操作条件的影响,通过超滤系统处理废水:实验和建模

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This study focuses on the effects of operating conditions including cross-flow velocity, oil concentration, transmembrane pressure, temperature, and pH on the normalized flux, relative fouling and turbidity rejection of a polymeric membrane in ultrafiltration (UF) system of oily wastewater treatment. Although normalized flux rose with increasing CFV, TMP, temperature, and pH, it decreased versus oil concentration. Increasing CFV, temperature, and pH reduced the relative fouling, while a rise in oil concentration and TMP increased the relative fouling. Moreover, an increase in CFV, oil content and pH increased turbidity rejection and rising TMP and temperature decreased the rejection. In this study, the evolutionary polynomial regression (EPR) approach is adopted on three parametric studies; one is the normalized flux, second is the relative fouling, and the third is the turbidity rejection. These parameters were evaluated by EPR as a function of mentioned independent variables. By comparing the experimental data and predicted values, the maximum and minimum average errors were obtained as 8.29 and 0.0005%, respectively. The maximum and minimum values of coefficient of determination were 1 and 0.902, respectively. Therefore, EPR would be a potential candidate to describe membrane performance in UF systems.
机译:这项研究的重点是工作条件,包括错流速度,油浓度,跨膜压力,温度和pH值对含油废水超滤(UF)系统中聚合物膜的标准化通量,相对结垢和混浊排除的影响。尽管归一化流量随CFV,TMP,温度和pH值的增加而增加,但相对于油浓度却降低了。 CFV,温度和pH值的增加减少了相对结垢,而油浓度和TMP的升高则增加了相对结垢。此外,CFV,油含量和pH值的增加会增加浊度排斥,而TMP和温度升高会降低浊度。在这项研究中,三项参数研究采用了进化多项式回归(EPR)方法。一是归一化通量,二是相对结垢,三是浊度抑制。这些参数由EPR评估为所提及自变量的函数。通过比较实验数据和预测值,最大和最小平均误差分别为8.29和0.0005%。测定系数的最大值和最小值分别为1和0.902。因此,EPR将是描述超滤系统中膜性能的潜在候选者。

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