Evidence map›Paper›PMID 37374810›Full record

ArticleMicromachines2023

Water Management Capacity of Metal Foam Flow Field for PEMFC under Flooding Situation.

Lingjiang Chen, Zichen Wang, Chuanfu Sun, Hui Zhu, Yuzhen Xia, Guilin Hu, Baizeng Fang

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lingjiang ChenSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Zichen WangSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Chuanfu SunSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Hui ZhuSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Yuzhen XiaSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Guilin HuSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.ORCID 0000-0001-6703-9135
Baizeng FangDepartment of Energy Storage Science and Technology, University of Science and Technology Beijing, 30 College Road, Beijing 100083, China.ORCID 0000-0001-5855-7766

Funding

National Natural Science Foundation of China 11972324
6 · The paper itself

Abstract

Porous metal foam with complex opening geometry has been used as a flow field to enhance the distribution of reactant gas and the removal of water in polymer electrolyte membrane fuel cells. In this study, the water management capacity of a metal foam flow field is experimentally investigated by polarization curve tests and electrochemical impedance spectroscopy measurements. Additionally, the dynamic behavior of water at the cathode and anode under various flooding situations is examined. It is found that obvious flooding phenomena are observed after water addition both into the anode and cathode, which are alleviated during a constant-potential test at 0.6 V. Greater abilities of anti-flooding and mass transfer and higher current densities are found as the same amount of water is added at the anode. No diffusion loop is depicted in the impedance plots although a 58.3% flow volume is occupied by water. The maximum current density of 1.0 A cm

Indexed as

flow fieldfuel cellporous metal foamself-humidificationwater management

Identifiers

PMID37374810
PMCPMC10304778

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.