Credit score: Utilized Power (2024). DOI: 10.1016/j.apenergy.2024.124689
Dr. Chi-Younger Jung’s analysis group from the Hydrogen Analysis & Demonstration Heart on the Korea Institute of Power Analysis (KIER) has efficiently developed a technique to investigate the microstructure of carbon fiber paper, a key materials in hydrogen gas cells, at a pace 100 instances sooner than present strategies. This was achieved by using digital twin know-how and synthetic intelligence (AI) studying.
Carbon fiber paper is a key materials in hydrogen gas cell stacks, enjoying a vital position in facilitating water discharge and gas provide. It’s composed of supplies similar to carbon fibers, binders (adhesives), and coatings. Over time, the association, construction, and coating situation of those supplies change, resulting in a decline within the efficiency of the gas cell. Because of this, analyzing the microstructure of carbon fiber paper has grow to be a vital step in diagnosing the situation of gas cells.
Nevertheless, real-time evaluation of the high-resolution microstructure of carbon fiber paper has been unattainable till now. It’s because acquiring correct evaluation outcomes requires a course of during which the carbon fiber paper pattern is broken after which subjected to detailed examination utilizing an electron microscope.
To deal with the constraints of present evaluation strategies, the analysis group developed a know-how that analyzes the microstructure of carbon fiber paper utilizing X-ray diagnostics and an AI-based picture studying mannequin. Notably, this know-how permits exact evaluation utilizing solely X-ray tomography, eliminating the necessity for an electron microscope. Because of this, it permits for near-real-time situation prognosis.
The analysis group extracted 5,000 photos from greater than 200 samples of carbon fiber paper and skilled a machine studying algorithm with this information. Because of this, the skilled mannequin was in a position to predict the 3D distribution and association of the important thing elements of carbon fiber paper—together with carbon fibers, binders, and coatings—with an accuracy of greater than 98%.
This functionality permits the comparability of the preliminary state of the carbon fiber paper with its present state, permitting for the instant identification of efficiency degradation causes. The findings are printed within the journal Utilized Power.
The traditional evaluation technique, which includes crushing carbon fiber paper samples and utilizing an electron microscope, takes no less than two hours to finish. In distinction, the evaluation mannequin developed by the analysis group can establish the degradation, broken areas, and extent of harm within the carbon fiber paper inside a couple of seconds utilizing solely X-ray tomography tools.
As well as, the analysis group utilized information from the developed mannequin to systematically establish how design components such because the thickness of the carbon fiber paper and the binder content material have an effect on gas cell efficiency. Additionally they extracted optimum design parameters and proposed a perfect design plan geared toward bettering the effectivity of gas cells.
Dr. Chi-Younger Jung, the lead researcher, said, “This study is significant in that it enhances analysis technology by combining AI with virtual space utilization, and clearly identifies the relationship between the structure and properties of energy materials, thereby demonstrating its practical applicability.” He added, “We expect it to play a significant role in related fields such as secondary batteries and water electrolysis in the future.”
Extra data:
Younger Je Park et al, Deciphering the microstructural complexities of compacted carbon fiber paper by AI-enabled digital twin know-how, Utilized Power (2024). DOI: 10.1016/j.apenergy.2024.124689
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Publish date : 2024-12-30 13:43:02
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