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연구성과 > 금주의 우수논문

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SCI Article

Nanoscale transport characteristics and catalyst utilization of vertically aligned carbon nanotube c
성명 엄석기()
소속 공과대학 기계공학부
캠퍼스
우수선정주 2019년 11월 2째주
Author Shin, Seungho (Dept Mech Engn); Liu, Jiawen (Dept Mech Engn); Akbar, Ali (Dept Mech Engn); 엄석기 (Dept Mech Engn) corresponding author;
Corresponding Author Info Um, S (reprint author), Hanyang Univ, Dept Mech Engn, 222 Wangsimni Ro, Seoul 04763, South Korea.
E-mail 이메일 아이콘sukkeeum@hanyang.ac.kr
Document Type Article
Source JOURNAL OF CATALYSIS Volume:377 Issue: Pages:465-479 Published:2019
Times Cited 0
External Information http://dx.doi.org/10.1016/j.jcat.2019.07.053
Abstract Nanoscale transport characteristics and catalyst utilization of vertically aligned carbon nanotube (VACNT) catalyst layers (CLs) are evaluated using a fully statistical modeling approach based on the inherent random nature of the catalyst layer structures for fuel cell applications. Composite morphological structures of the catalyst layers are stochastically modeled with a 95% confidence level, and transport phenomena inside the catalyst layers are simulated using the D3Q19 lattice Boltzmann method (LBM). The effective diffusion coefficient of VACNT catalyst layers is predicted to be higher than that of the conventional catalyst layer, despite a relatively small pore diameter and a low-Knudsen diffusion coefficient. Consequently, the VACNT catalyst layers exhibit improved catalyst utilization compared to the conventional catalyst layers. These statistical results obtained from a series of numerical experiments confirm that the PEFC catalyst layers containing the VACNT catalyst supports can provide more efficient reactant transport, resulting in enhanced catalyst utilization for electrochemical reactions. (C) 2019 Elsevier Inc. All rights reserved.
Web of Science Categories Chemistry, Physical; Engineering, Chemical
Funding Korea Evaluation Institute of Industrial Technology [201800000000249]; National Research Foundation of KoreaNational Research Foundation of Korea [201800000002799, 201800000002384]
Language English
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