Simulation study of bio-inspired leaf flow field designs for direct methanol fuel cell

Author:

YAĞIZ Mikail1ORCID,ÇELİK Selahattin2ORCID,KILIÇ Ahmed Emin3ORCID

Affiliation:

1. Niğde Ömer Halisdemir Üniversitesi

2. ANKARA YILDIRIM BEYAZIT UNIVERSITY

3. ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ

Abstract

The flow field design in the bipolar plate, which is a DMFC structure, is extremely important in the mass transfer in the fuel cell and the electrochemical reactions occurring in the cell. One of the main purposes of DMFC is to improve the flow plate in order to provide less pressure drop in all channels. Therefore, different leaf types have been investigated to improve the flow distribution performance of DMFC. Populus, Large-surface Bamboo, Palm, Philodendron, Lotus, Mulberry, Loquat and Fig leaves with similar properties were sized using the COMSOL Multiphysics program and designed by examining their environmental and physical properties. Flow and pressure distributions in accordance with the flow field design similar to leaf dimensions in two dimensions were investigated. The biological and physical properties of each bio-inspired leaf design are described and its compliance with the DMFC is explained. Finally, flow images are presented with a comparison of flow areas. When these studies in the literature are examined; while applying the bio-inspired approach, it was seen that the shape similarity approach was adopted. However, by specifying the leaf, the flow field was not created exactly in the size of the leaf. Although there is a research on the flow design in the PEM fuel cell, it has not been used at the same rate for the DMFC. Considering that it is suitable for the DMFC system with the flow channel designs in the bipolar plate in question, it is expected that the performances that will increase the flow transmission to optimum levels will also increase when used.

Funder

There is no supporting organization.

Publisher

Türkiye Enerji Stratejileri ve Politikalari Araştirma Merkezi (TESPAM)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3