eprintid: 7455
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/74/55
datestamp: 2023-11-09 16:19:15
lastmod: 2023-11-09 16:19:15
status_changed: 2023-11-09 16:09:26
type: conference_item
metadata_visibility: show
creators_name: Lock, S.S.M.
creators_name: Lau, K.K.
creators_name: Mei, I.L.S.
creators_name: Shariff, A.M.
creators_name: Yeong, Y.F.
title: Cavity Energetic Sizing Algorithm Applied in Polymeric Membranes for Gas Separation
ispublished: pub
keywords: Cavity resonators; Free volume; Gas permeability; Gases; Membranes; Molecular dynamics; Molecular structure; Polymeric membranes; Polymers; Process engineering; Separation, Cavity size distribution; Free volume distribution; Gas separation performance; Gas separations; Large scale productions; Molecular simulations; Separation efficiency; Sizing algorithms, Gas permeable membranes
note: cited By 5; Conference of 4th International Conference on Process Engineering and Advanced Materials, ICPEAM 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:131138
abstract: Polymeric membranes demonstrate the fastest emerging field in membrane gas separation since it has huge reproducibility for large scale production and low cost fabrication. To date, many research works have emerged to propose different polymeric materials for membrane synthesis and fabrication in order to enhance gas separation performance. It has been suggested that the underlying factor that distinguishes the difference in separation efficiency among varying polymer is the amount of free volume formed throughout the polymeric matrix. Therefore, in current work, through adaptation of atomistic models by a combination of molecular dynamics and Monte Carlo or commonly known as the Cavity Energetic Sizing Algorithm (CESA), the cavity size distributions of several commonly adapted polymeric membranes for gas separation have been determined. The accuracy of the simulated molecular structure has been verified by comparing the simulated and measured experimental density. It is found from the study that that the CESA algorithm is capable of capturing the free volume distribution within the polymeric matrix, with the higher free volume polymeric membrane inheriting higher average cavity size PTMSP (10.30A) >PPO (4.86A) >Matrimid® 5218 (4.01A) >PSF (3.25A). In addition, the higher free volume polymers, which exhibit shift towards the larger cavity sizes, also reveal higher gas permeability for gas molecules. The sieving capability of the polymer is also demonstrated to be correlated with the kinetic diameter of the gas penetrants as compared to the cavity size. In future work, the methodology is proposed to be employed as a preliminary step to predict polymeric membrane morphology in order to evaluate the feasibility of any polymers before being applied in gas separation. © 2016 The Authors. Published by Elsevier Ltd.
date: 2016
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013953806&doi=10.1016%2fj.proeng.2016.06.451&partnerID=40&md5=826cb22ae37d57bcb30ba341d79d94ac
id_number: 10.1016/j.proeng.2016.06.451
full_text_status: none
publication: Procedia Engineering
volume: 148
pagerange: 855-861
refereed: TRUE
issn: 18777058
citation:   Lock, S.S.M. and Lau, K.K. and Mei, I.L.S. and Shariff, A.M. and Yeong, Y.F.  (2016) Cavity Energetic Sizing Algorithm Applied in Polymeric Membranes for Gas Separation.  In: UNSPECIFIED.