基于实验、全因子设计和机器学习的含油废水过滤系统中七通道钛陶瓷膜的新型建模优化方法。

IF 3.3 4区 工程技术 Q2 CHEMISTRY, PHYSICAL Membranes Pub Date : 2024-09-20 DOI:10.3390/membranes14090199
Mohamed Echakouri, Amr Henni, Amgad Salama
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引用次数: 0

摘要

这项综合研究探讨了操作条件如何影响用于处理生产用水的新型七通道二氧化钛陶瓷超滤膜的性能。为了研究横流操作因素对膜渗透通量下降和总体渗透体积的影响,进行了全因子设计实验(23)。针对三个重要的工艺操作变量:跨膜压力(TMP)、横流速度(CFV)和过滤时间(FT)进行了 11 次实验。每次实验运行都记录了稳定的最终膜通量和渗透体积。在优化条件(1.5 巴、1 米/秒和 2 小时)下,膜性能指标显示油排斥率为 99%,通量为 297 L/m2-h(LMH),总体初始通量下降 38%,总渗透体积为 8.14 L。此外,还采用了多元线性回归法和人工神经网络法来建立实验膜渗透通量下降模型,并分析操作条件对膜性能的影响。高斯回归和 Levenberg-Marquardt 反向传播方法的预测结果得到了验证,确定系数为 99%,均方误差为 0.07。
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A Novel Modeling Optimization Approach for a Seven-Channel Titania Ceramic Membrane in an Oily Wastewater Filtration System Based on Experimentation, Full Factorial Design, and Machine Learning.

This comprehensive study looks at how operational conditions affect the performance of a novel seven-channel titania ceramic ultrafiltration membrane for the treatment of produced water. A full factorial design experiment (23) was conducted to study the effect of the cross-flow operating factors on the membrane permeate flux decline and the overall permeate volume. Eleven experimental runs were performed for three important process operating variables: transmembrane pressure (TMP), crossflow velocity (CFV), and filtration time (FT). Steady final membrane fluxes and permeate volumes were recorded for each experimental run. Under the optimized conditions (1.5 bar, 1 m/s, and 2 h), the membrane performance index demonstrated an oil rejection rate of 99%, a flux of 297 L/m2·h (LMH), a 38% overall initial flux decline, and a total permeate volume of 8.14 L. The regression models used for the steady-state membrane permeate flux decline and overall permeate volume led to the highest goodness of fit to the experimental data with a correlation coefficient of 0.999. A Multiple Linear Regression method and an Artificial Neural Network approach were also employed to model the experimental membrane permeate flux decline and analyze the impact of the operating conditions on membrane performance. The predictions of the Gaussian regression and the Levenberg-Marquardt backpropagation method were validated with a determination coefficient of 99% and a Mean Square Error of 0.07.

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来源期刊
Membranes
Membranes Chemical Engineering-Filtration and Separation
CiteScore
6.10
自引率
16.70%
发文量
1071
审稿时长
11 weeks
期刊介绍: Membranes (ISSN 2077-0375) is an international, peer-reviewed open access journal of separation science and technology. It publishes reviews, research articles, communications and technical notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided.
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