当前位置: X-MOL 学术Desalination › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
CFD-based genetic programming model for liquid entry pressure estimation of hydrophobic membranes
Desalination ( IF 9.9 ) Pub Date : 2020-02-01 , DOI: 10.1016/j.desal.2019.114231
Hooman Chamani , Pelin Yazgan-Birgi , Takeshi Matsuura , Dipak Rana , Mohamed I. Hassan Ali , Hassan A. Arafat , Christopher Q. Lan

Abstract Wetting phenomenon inside the pore is a significant obstacle hindering membrane distillation (MD) from being fully industrialized. Herein, a new equation is provided for the users, using the combination of computational fluid dynamics (CFD) and genetic programming (GP) tools for estimation of liquid entry pressure (LEP), a parameter closely related to pore wetting. CFD was applied to model the wetting process inside the pore during the gradual increase in feed pressure at different scenarios in which contact angle, pore radius and membrane thickness were changed. Afterwards, GP as an intelligent method was employed to provide a computer program estimating LEP in the whole ranges in which CFD modeling was carried out. Moreover, validation was done using experimental data and then the influence of effective parameters on LEP was studied. This work provides an explicit formula for estimation of LEP in a closer agreement with the experimental data in comparison to the Young-Laplace equation. In addition, the influence of the membrane thickness was added to the equation, providing a more realistic formula for LEP estimation.

中文翻译:

基于 CFD 的遗传编程模型用于疏水膜的液体进入压力估计

摘要 孔隙内部的润湿现象是阻碍膜蒸馏(MD)全面工业化的重要障碍。在这里,为用户提供了一个新的方程,使用计算流体动力学 (CFD) 和遗传编程 (GP) 工具的组合来估计液体进入压力 (LEP),这是一个与孔隙润湿密切相关的参数。在接触角、孔半径和膜厚度发生变化的不同情况下,随着进料压力逐渐增加,CFD 被应用于模拟孔内的润湿过程。之后,采用 GP 作为一种智能方法,提供了一个计算机程序,可在执行 CFD 建模的整个范围内估算 LEP。此外,使用实验数据进行了验证,然后研究了有效参数对 LEP 的影响。与杨拉普拉斯方程相比,这项工作提供了一个明确的 LEP 估计公式,与实验数据更接近。此外,将膜厚度的影响添加到方程中,为 LEP 估计提供了更现实的公式。
更新日期:2020-02-01
down
wechat
bug