Modeling and Additive Manufacturing of Porous Electrodes for Novel High Temperature PEM Fuel Cells
Modeling and Additive Manufacturing of Porous Electrodes for Novel High Temperature PEM Fuel Cells
批准号:
280769153
负责人:
Professor Dr.-Ing. Eberhard Abele
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2019-12-31
中文摘要
拟议的研究项目旨在加强关于新型燃料电池建模和制造的知识库。因此,管式高温聚合物电解质膜(HTPEM)燃料电池将被开发、建模、制造和表征。管式HTPEM燃料电池将平板式HTPEM燃料电池的优点(例如使用重新格式化气体作为燃料)与SOFC技术中的管式设计(例如更高的功率密度和更高的效率)相结合。在拟议的研究项目范围内,将设计这样的新型燃料电池,并开发合适的模拟模型。模拟模型的核心部分将是分析燃料电池电极的孔隙率特性以及这对燃料电池性能的影响。根据研究结果,将定义对孔隙率特性的要求,并将其用于开发管状燃料电池电极的制造路线。由于电极必须是多孔的(允许质量传输)、机械稳定(以支撑膜和催化涂层等其他功能层)和导电,因此选择性激光熔化(SLM)等新型添加剂制造技术可能是满足所研究的管状电极制造限制的可行方法。SLM是基于使用激光对细晶金属粉末进行逐层熔化的基础上。拟议研究项目的第二个目标是验证SLM技术作为限定的多孔管式燃料电池电极的制造路线的资格。因此,我们将研究SLM工艺参数(激光功率(PL)、扫描速度(VS)、孵化距离(Hs)、层厚(S)和激光束直径(D))以及粉末形貌(粒度分布)对气孔率特性(总气孔率、开放/闭合气孔率、孔尺寸和分布、渗透率)的影响,并利用该模型建立经验模型。SLM制造的燃料电池电极将被表征,并用于优化和验证所开发的模拟模型。此外,利用适当的测试方法,如3D计算机层析成像,将允许开发改进的模拟模型,其中孔隙度特征是在微观水平上模拟的,而不是宏观均质方法。这样,可以在模拟中考虑孔隙率的性质,从而更准确地预测燃料电池的性能特性。
英文摘要
The proposed research project aims to enhance the knowledge base regarding modeling and manufacturing of novel fuel cells. Thereby tubular high-temperature polymer electrolyte membrane (HT PEM) fuel cells will be developed, modeled, manufactured, and characterized. Tubular HT PEM fuel cells have the potential to combine advantages of planar HT PEM fuel cells such as the usage of reformat gas as fuel with the ones of tubular designs which are known from SOFC techniques (e.g. higher power density and improved efficiency). Within the scope of the proposed research project such novel fuel cells are going to be designed and suitable simulation models will be developed. Core element of the simulation model will be the analysis of porosity characteristics of the fuel cell electrodes and how this affects the fuel cell performance. Based on the results requirements on porosity characteristics will be defined and used to develop a manufacturing route for the tubular fuel cell electrodes. Since the electrodes have to be porous (to allow mass transport), mechanically stable (to support other functional layers such as membrane and catalytic coating) and electrically conductive, novel additive manufacturing technologies such as selective laser melting (SLM) may be a feasible approach to meet the manufacturing constraints of the studied tubular electrodes. SLM is based on a layer-by-layer melting of fine-grained metal powder using a laser beam. A second objective of the proposed research project is the qualification of the SLM technique as a manufacturing route for defined porous tubular fuel cell electrodes. Therefore, the influence of SLM process parameters (laser power (PL), scan speed (vs), hatching distance (hs), layer thickness (s), and laser beam diameter (d)) as well as powder morphology (grain size distribution) on porosity characteristics (overall porosity, open/closed porosity, pore size and distribution, permeability) will be studied and used to develop an empirical model. SLM-manufactured fuel cell electrodes will be characterized and used to optimize and validate the developed simulation models. In addition, the utilization of adequate test methods such as 3D computer tomography will allow the development of enhanced simulation models, in which porosity characteristics are modeled on a microscopic level instead of a macro homogenous approach. In this way the nature of the porosity can be considered in the simulation to predict the fuel cell performance characteristics more accurately.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1007/s40964-019-00095-5
发表时间:
2019-08
期刊:
Progress in Additive Manufacturing
影响因子:
--
作者:
[E. Abele;T. Reiber;M. Hampe;María Catalina Bermúdez Agudelo;Fabian Menz]
通讯作者:
E. Abele;T. Reiber;M. Hampe;María Catalina Bermúdez Agudelo;Fabian Menz
DOI:
10.3390/ma13092096
发表时间:
2020-05-01
期刊:
MATERIALS
影响因子:
3.4
作者:
[Agudelo, Maria Catalina Bermudez, Hampe, Manfred, Abele, Eberhard]
通讯作者:
Abele, Eberhard
DOI:
10.1016/j.ijhydene.2021.01.042
发表时间:
2021-03
期刊:
International Journal of Hydrogen Energy
影响因子:
7.2
作者:
[Aaron D. Ratschow;María Catalina Bermúdez Agudelo;M. Hampe]
通讯作者:
Aaron D. Ratschow;María Catalina Bermúdez Agudelo;M. Hampe
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Deburring of intersecting holes with industrial robots based on measurement data with respect of optimized path planning algorithms
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