Membrane-electrode junction properties for optimum potentiometric hydrogen sensor response

Technology for monitoring the concentration of high-concentration hydrogen gas, which is used as a fuel for hydrogen fuel cell vehicles, is urgently needed to be developed to maximize vehicle fuel efficiency. To improve the detection performance of the proton conductor-based hydrogen sensor, a membrane electrode assembly (MEA) consisting of a Nafion membrane and a Pt-C composite electrode was manufactured and applied to the hydrogen sensor. The hot press method was used to manufacture the MEA, and the junction characteristics were optimized by changing pressure, temperature, and time. The MEA was manufactured at a pressure range of 2–5 MPa, a temperature range of 40–80 °C, and a time range of 60–120 s, and the sheet resistance of the MEA was measured to investigate its dependence on the bonding process conditions. When the electrode-Nafion junction temperature and pressure were high, the MEA was stuck to the substrate or paper sheet and could not be separated into a discrete MEA. Additionally, when the temperature was low, the junction strength was insufficient, causing the Nafion and electrode to separate from each other. Through this study, it was confirmed that a robust and conductive MEA was obtained under optimal bonding conditions of 2 MPa, 60 °C, and 60 s, and the sensitivity of the hydrogen sensor was significantly improved.

Authors

Institutions

Publication Details

Journal
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena
Published
2024-08-29
DOI
https://doi.org/10.1116/6.0003829
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Membrane-electrode junction properties for optimum potentiometric hydrogen sensor response

Soon-Won Jung, Ji Eun Jung, Seung-Yun Lee, Ga Eun Lee et al.
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena
Fuel Cells and Related Materials
article

Membrane-electrode junction properties for optimum potentiometric hydrogen sensor response

Soon-Won Jung, Ji Eun Jung, Seung-Yun Lee, Ga Eun Lee, Kyeong-Joon Jo, Seong Cheol Kim
article en

Abstract

Technology for monitoring the concentration of high-concentration hydrogen gas, which is used as a fuel for hydrogen fuel cell vehicles, is urgently needed to be developed to maximize vehicle fuel efficiency. To improve the detection performance of the proton conductor-based hydrogen sensor, a membrane electrode assembly (MEA) consisting of a Nafion membrane and a Pt-C composite electrode was manufactured and applied to the hydrogen sensor. The hot press method was used to manufacture the MEA, and the junction characteristics were optimized by changing pressure, temperature, and time. The MEA was manufactured at a pressure range of 2–5 MPa, a temperature range of 40–80 °C, and a time range of 60–120 s, and the sheet resistance of the MEA was measured to investigate its dependence on the bonding process conditions. When the electrode-Nafion junction temperature and pressure were high, the MEA was stuck to the substrate or paper sheet and could not be separated into a discrete MEA. Additionally, when the temperature was low, the junction strength was insufficient, causing the Nafion and electrode to separate from each other. Through this study, it was confirmed that a robust and conductive MEA was obtained under optimal bonding conditions of 2 MPa, 60 °C, and 60 s, and the sensitivity of the hydrogen sensor was significantly improved.

Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and PhenomenaVol. 42(5)
Hanbat National University (KR)
National Research Foundation of Korea, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 89%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.