Scanning Acoustic Microscopy for Quantifying Bubble Evolution in Alkaline Water Electrolyzers
Zehua Dou, Hannes Rox, Zyzi Ramos, Robert Baumann, Rachappa Ravishankar, Peter Czurratis, Xuegeng Yang, Andr\'es Fabian Lasagni, Kerstin Eckert, Juergen Czarske, David Weik

TL;DR
This paper demonstrates the use of volumetric scanning acoustic microscopy (SAM) to non-destructively image and quantify hydrogen bubble evolution within porous electrodes during alkaline water electrolysis, providing high-resolution 3D insights.
Contribution
It introduces a novel application of high-frequency SAM for in-situ, volumetric imaging of gas bubbles in electrochemical systems, enabling detailed analysis of bubble dynamics.
Findings
SAM provides high-resolution 3D imaging of bubbles in electrodes
Digital image processing quantifies gas content accurately
The technique is scalable and suitable for operando studies
Abstract
Improved understanding of gas/liquid transport in electrochemical gas-evolving systems is increasingly demanded for optimizing device performance. However, high-resolution measurement techniques for in-situ imaging remain limited. This work demonstrates the use of volumetric scanning acoustic microscopy (SAM) for quantifying hydrogen bubble evolution in porous nickel electrodes in a customized alkaline water electrolysis cell. By using high-frequency focused ultrasound, SAM enables volumetric imaging with high spatial resolution in the range of tens of micrometers. This allows the distribution of gas bubbles within the complex 3D architecture of porous electrodes to be resolved. Digital image processing methods are used to segment and quantify the gas content in the electrode. Thus, non-destructive SAM imaging is demonstrated to be an accessible and scalable analytical tool for the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
