Issue |
MATEC Web Conf.
Volume 408, 2025
44th Conference of the International Deep Drawing Research Group (IDDRG 2025)
|
|
---|---|---|
Article Number | 01046 | |
Number of page(s) | 5 | |
Section | Full Papers | |
DOI | https://doi.org/10.1051/matecconf/202540801046 | |
Published online | 07 May 2025 |
Experimental evaluation of a feature based bipolar plate forming approach in a hybrid tool
1
Fraunhofer Institute for Production Technology IPT,
Aachen, Germany
2
Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University,
Germany
* Corresponding author: dennis.albers@ipt.fraunhofer.de
The bipolar plate is a core component of a fuel cell and makes a decisive contribution to both system weight and cost. To reduce costs, metallic foils have been formed for several years to replace the conventional milled compound plates. The main challenge in forming is that the channel geometries must be produced with the highest accuracy requirements. Tolerances of a few micrometers should be maintained. The combination of high accuracy requirements with target production speed of less than one second and the complex geometric designs of flow fields pushes conventional forming technologies to their process limits. To meet this challenge, a procedure for feature-based forming has been developed (IDDRG2024) that enables multi-stage and hybrid forming. This allows bipolar plates to be manufactured independently of design but in a feature-specific production process. This previously developed theoretical process model will be physically validated and tested for effectiveness in investigations to be presented. For this purpose, a hybrid tool consisting of conventional stamping and rubber pad forming is set up, which is combined using precision workpiece transport. Using this tool, hybrid forming tests can be carried out based on previous numerical analysis to validate the procedure and derive an optimized process chain.
Key words: Bipolar plate / Fuel cell / Feature based / Forming
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.