| Summary: | 碩士 === 中國文化大學 === 材料科學與奈米科技研究所 === 95 === Due to irreversibilities, heat will be continuously generated from the interior of a fuel cell and transferred to the environment as it is under operation. To maintain the operational temperature of its membrane electrode assembly (MEA) within an appropriate range is essential to the efficiency and reliability of the fuel cell. However, to direct measure or monitor the temperature distribution of the MEA is too challenging and the inverse heat transfer method can be employed to estimate the temperature distribution from the surface temperature of the cell.
Based on the ANSYS CFX package and the conjugate gradient method, an inverse heat transfer calculation procedure is developed for predicting the internal temperature distribution of a fuel cell. The accuracy of the predicted temperature would inevitably be influenced by many parameters, such as thermal conductivity, thickness, and topography of each part of the fuel cell assembly. In this study, the procedure is used to reveal the influence of these parameters on the accuracy of the predicted results.
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