4.7 Article

Molecular dynamics simulations of polymeric structure and alcohol-membrane surface affinity of aromatic polyamide membranes

期刊

JOURNAL OF MEMBRANE SCIENCE
卷 382, 期 1-2, 页码 30-40

出版社

ELSEVIER
DOI: 10.1016/j.memsci.2011.07.043

关键词

Molecular dynamics; Free volume; Aromatic polyamide; Diffusion mechanism; Membrane affinity

资金

  1. Institute of Nuclear Energy Research, Taiwan, ROC [NSC100-2623-E-033-002-NU]
  2. National Science Council, Taiwan, ROC [NSC 100-3113-E-033 -001]

向作者/读者索取更多资源

A molecular dynamics (MD) technique was adopted to investigate the free volume, operational temperature effects, feed solution-membrane surface affinity, and water/alcohol diffusion mechanism of aromatic polyamide (PA) membranes for pervaporation (PV) applications. An isothermal-isobaric ensemble (i.e. NPT ensemble) was adopted to analyze the fractional free volume, the fractional accessible volume, and the cavity size distribution of PA membranes at different operational temperatures. The free volume and cavity size analyses indicated that bulkier side groups enhanced the formation of larger free volumes, which increased permeation rates. Increased temperature induced chain mobility and enlarged the cavity size of the membrane. During feed solution-membrane affinity analysis, the alcohols showed a higher interaction with the membrane surface as compared to the water molecules. The diffusion mechanism of water/methanol in the membrane matrix suggested that methanol had a shorter displacement distance relative to the water due to its larger size and stronger interaction with the membrane. Results from the MD simulation agreed well with those from experimental studies reported in the literatures, which demonstrated that this theoretical method is a promising tool for characterizing membrane structures and analyzing feed solution transport at a molecular scale during PV processes. (C) 2011 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据