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Real-time thermal imaging of solid oxide fuel cell cathode activity in working condition

机译:工作状态下固体氧化物燃料电池阴极活性的实时热成像

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Electrochemical methods such as voltammetry and electrochemical impedance spectroscopy are effective for quantifying solid oxide fuel cell (SOFC) operational performance, but not for identifying and monitoring the chemical processes that occur on the electrodes' surface, which are thought to be strictly related to the SOFCs' efficiency. Because of their high operating temperature, mechanical failure or cathode delamination is a common shortcoming of SOFCs that severely affects their reliability. Infrared thermography may provide a powerful tool for probing in situ SOFC electrode processes and the materials' structural integrity, but, due to the typical design of pellet-type cells, a complete optical access to the electrode surface is usually prevented. In this paper, a specially designed SOFC is introduced, which allows temperature distribution to be measured over all the cathode area while still preserving the electrochemical performance of the device. Infrared images recorded under different working conditions are then processed by means of a dedicated image processing algorithm for quantitative data analysis. Results reported in the paper highlight the effectiveness of infrared thermal imaging in detecting the onset of cell failure during normal operation and in monitoring cathode activity when the cell is fed with different types of fuels. (C) 2016 Optical Society of America
机译:伏安法和电化学阻抗谱等电化学方法可有效地量化固体氧化物燃料电池(SOFC)的运行性能,但不适用于识别和监视电极表面发生的化学过程,这些过程被认为与SOFC严格相关效率。由于它们的高工作温度,机械故障或阴极分层是SOFC的常见缺点,严重影响了它们的可靠性。红外热成像可能为探测原位SOFC电极工艺和材料的结构完整性提供强大的工具,但是由于颗粒型电池的典型设计,通常会阻止对电极表面的完全光学接触。在本文中,介绍了一种经过特殊设计的SOFC,它可以在整个阴极区域内测量温度分布,同时仍保持器件的电化学性能。然后,通过专用的图像处理算法对在不同工作条件下记录的红外图像进行处理,以进行定量数据分析。该论文报道的结果突出了红外热成像在正常运行期间检测电池故障的发作以及监测使用不同类型燃料供给电池的阴极活性方面的有效性。 (C)2016美国眼镜学会

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