Development of interferometic X-ray Imaging Techniques for the Assessment of Functional Layers for future clean energy production on industrial scale
- NázevTitle
- Development of interferometic X-ray Imaging Techniques for the Assessment of Functional Layers for future clean energy production on industrial scaleDevelopment of interferometric X-ray Imaging Techniques for the Assessment of Functional Layers for future clean energy production on industrial scale
- PoskytovatelProvider
- Ministerstvo školství, mládeže a tělovýchovyMinistry of Education, Youth and Sports
- ProgramProgramme
- INTER-EXCELLENCE IIINTER-EXCELLENCE II
- Kód CEPCEP code
- LUABA24060
- Datum zahájeníStart date
- 2024-07-01
- Datum ukončeníEnd date
- 2026-12-31
- Vztah ČVUTCTU relation
- ČVUT je v pozici příjemce jako jediný účastník projektuCTU is the only beneficiary participant in the project
- Řešitel ČVUTCTU investigator
- MSc. Benedikt Ludwig Bergmann, Ph.D.
- Řešitelský tým (ÚTEF)Team (UTEF)
- doc. Ing. Petr Burian, Ph.D. (člen řešitelského týmuresearch team member)
- Mgr. Tomáš Čelko (člen řešitelského týmuresearch team member)
- Petr Smolyanskiy, Ph.D. (člen řešitelského týmuresearch team member)
- Ing. Mgr. Petr Mánek, Ph.D. (člen řešitelského týmuresearch team member)
- Ing. Stanislav Pospíšil, DrSc. (člen řešitelského týmuresearch team member)
AbstraktAbstract
The proposed research project aims at imaging of functional layers in the membrane electrolyte assembly (MEA) of fuel cells and electrolysis systems for hydrogen use and production, which are important elements in the transition to a decarbonized society. The optimized imaging technique shall be usable in both, R&D in the laboratory to develop manufacturing processes and for quality assurance in future large scale production processes to increase efficiency and longevity of produced clean energy systems. While currently used detectors can determine the photon energy spectra in a limited number of bins, the cutting-edge hybrid pixel detectors proposed will provide a continuous photon spectrum within each of the pixels. By this, we expect higher sensitivity of the imaging modality and improved categorization of the defect or crack density in the produced images in particular when combined with state-of-the art machine learning techniques. After determination and quantification of the performance using reference samples, the operational parameters will be refined for the defect detection in the functional layers of the membrane electrolyte assembly (MEA) providing valuable feedback for optimizing the production process.
The proposed research project aims at imaging of functional layers in the membrane electrolyte assembly (MEA) of fuel cells and electrolysis systems for hydrogen use and production, which are important elements in the transition to a decarbonized society. The optimized imaging technique shall be usable in both, R&D in the laboratory to develop manufacturing processes and for quality assurance in future large scale production processes to increase efficiency and longevity of produced clean energy systems. While currently used detectors can determine the photon energy spectra in a limited number of bins, the cutting-edge hybrid pixel detectors proposed will provide a continuous photon spectrum within each of the pixels. By this, we expect higher sensitivity of the imaging modality and improved categorization of the defect or crack density in the produced images in particular when combined with state-of-the art machine learning techniques. After determination and quantification of the performance using reference samples, the operational parameters will be refined for the defect detection in the functional layers of the membrane electrolyte assembly (MEA) providing valuable feedback for optimizing the production process.