PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 7, 2026Journal of Applied Electrochemistry0 citations

Enhanced mass transport in polymer electrolyte membrane fuel cell using hybrid metal-foam/serpentine flow field

View Full Paper
JKJunseob KimJKJunbom Kim

Key Points

  • To enhance mass transport and performance in polymer electrolyte membrane fuel cells using a hybrid flow field design.
  • Developed a hybrid metal-foam/serpentine flow field
  • Evaluated a 25 cm² unit cell performance using polarization curves and electrochemical impedance spectroscopy
  • Employed impedance-based resistance decomposition to analyze contributions to cell performance.
  • Hybrid flow field reduced mass transport resistance by 75%
  • Achieved a peak power density of 0.971 W cm⁻²
  • Showed a 26% improvement compared to the metal foam flow field.

Abstract

Flow field architecture strongly influenced mass transport and water management in polymer electrolyte membrane fuel cells. Metal foam-based flow field improved reactant distribution and reduced flooding but were limited by localized weak-flow regions and pressure drop. In this study, a hybrid metal-foam/serpentine flow field was developed to enhance fuel cell performance. The performance of 25 cm² unit cell was evaluated using polarization curves and electrochemical impedance spectroscopy under pressurized conditions. Impedance-based resistance decomposition was employed to decouple ohmic, charge transfer, and mass transport contributions to cell performance for different flow fields. The hybrid metal foam flow field reduced mass transport resistance by 75% (from 981 to 246 mΩ cm² at 2.0 A cm⁻²) and achieved a peak power density of 0.971 W cm⁻², representing a 26% improvement compared with the metal foam flow field. These results indicated that combining directional convection through serpentine channels with multidirectional diffusion in metal foam improved reactant transport and mitigated concentration loss under high-load operation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/698692e89d267392364c9aedhttps://doi.org/10.1007/s10800-026-02443-0
Ask AI
Helpful
Bookmark
Share
View Full Paper