Rasheed Salam H, Ibrahim Salah S, Alsalhy Qusay F, Salih Issam K
Membrane Technology Research Unit, Department of Chemical Engineering, University of Technology-Iraq, Alsinaa Street 52, Baghdad 10066, Iraq.
Department of Chemical Engineering and Petroleum Industries, Al-Mustaqbal University College, Babylon 51001, Iraq.
Membranes (Basel). 2022 Oct 25;12(11):1040. doi: 10.3390/membranes12111040.
A developed polydimethylsiloxane (PDMS) membrane was used to separate soluble benzene compounds (CH) from an aqueous solution via a pervaporation (PV) process. This membrane was characterized by scanning electron microscopy (SEM), Fourier-transform infrared (FTIR) spectroscopy, contact angle (CA), and energy-dispersive spectroscopy (EDS). To evaluate the performance of the membrane, the separation factor and permeation flux were estimated in various operating conditions, including the feed temperature, initial benzene concentration, and feed flow rate. The experiments to maximize the separation factor and permeation flux were designed using the response surface method (RSM) that is built into Minitab 18. A quadratic model (nonlinear regression equation) was suggested to obtain mathematical expressions to predict the benzene permeation flux and the separation factor according to the effect of the parameters' interaction. The optimization of the PV was performed using an RSM that was based on the analysis of variance (ANOVA). The optimal values of the benzene permeation flux and separation factor were 6.7 g/m·h and 39.8, respectively, at the optimal conditions of temperature (30 °C), initial concentration of benzene (1000 ppm), and feed flow rate (3.5 L/min). It was found that the feed concentration was the most influential parameter, leading to a significant increase in the permeation flux and separation factor of the PDMS membrane.
采用一种已制备好的聚二甲基硅氧烷（PDMS）膜，通过渗透汽化（PV）过程从水溶液中分离可溶性苯化合物（CH）。该膜通过扫描电子显微镜（SEM）、傅里叶变换红外（FTIR）光谱、接触角（CA）和能量色散光谱（EDS）进行表征。为评估该膜的性能，在包括进料温度、初始苯浓度和进料流速等各种操作条件下估算分离因子和渗透通量。使用Minitab 18中内置的响应面法（RSM）设计了使分离因子和渗透通量最大化的实验。提出了一个二次模型（非线性回归方程），以获得根据参数相互作用的影响来预测苯渗透通量和分离因子的数学表达式。基于方差分析（ANOVA）的响应面法对渗透汽化进行了优化。在温度（30℃）、苯初始浓度（1000 ppm）和进料流速（3.5 L/min）的最佳条件下，苯渗透通量和分离因子的最佳值分别为6.7 g/m·h和39.8。结果发现进料浓度是最具影响力的参数，会导致PDMS膜的渗透通量和分离因子显著增加。
