计算流体力学
多物理
传质
膜
传热
输运现象
机械工程
流体力学
计算机科学
生化工程
材料科学
工艺工程
工程类
机械
化学
航空航天工程
有限元法
物理
结构工程
生物化学
作者
Jun Liu,Jing Zhao,Yulu Liu,Yongfan Zhu,Wanglin Zhou,Zhenbin Gu,Guangru Zhang,Zhengkun Liu
出处
期刊:Membranes
[Multidisciplinary Digital Publishing Institute]
日期:2025-06-27
卷期号:15 (7): 193-193
被引量:3
标识
DOI:10.3390/membranes15070193
摘要
Mixed ionic–electronic conducting (MIEC) oxygen-permeable membranes have emerged as a frontier in oxygen separation technology due to their high efficiency, low energy consumption, and broad application potential. In recent years, computational fluid dynamics (CFD) has become a pivotal tool in advancing MIEC membrane technology, offering precise insights into the intricate mechanisms of oxygen permeation, heat transfer, and mass transfer through numerical simulations of coupled multiphysics phenomena. In this review, we comprehensively explore the application of CFD in MIEC membrane research, heat and mass transfer analysis, reactor design optimization, and the enhancement of membrane module performance. Additionally, we delve into how CFD, through multiscale modeling and parameter optimization, improves separation efficiency and facilitates practical engineering applications. We also highlight the challenges in current CFD research, such as high computational costs, parameter uncertainties, and model complexities, while discussing the potential of emerging technologies, such as machine learning, to enhance CFD modeling capabilities. This study underscores CFD’s critical role in bridging the fundamental research and industrial applications of MIEC membranes, providing theoretical guidance and practical insights for innovation in clean energy and sustainable technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI