An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.

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...

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Main Authors: vito corleone, 張立中
Other Authors: 張鴻明
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/01194980697414443999
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spelling ndltd-TW-095PCCU01590272015-10-13T10:42:09Z http://ndltd.ncl.edu.tw/handle/01194980697414443999 An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method. 應用逆向熱傳導理論於燃料電池內部溫度量測精確度之研究 vito corleone 張立中 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. 張鴻明 2006 學位論文 ; thesis 89 zh-TW
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language zh-TW
format Others
sources NDLTD
description 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.
author2 張鴻明
author_facet 張鴻明
vito corleone
張立中
author vito corleone
張立中
spellingShingle vito corleone
張立中
An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
author_sort vito corleone
title An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
title_short An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
title_full An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
title_fullStr An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
title_full_unstemmed An estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
title_sort estimation of the accuracy of fuel cell temperature measurement using inverse heat transfer method.
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/01194980697414443999
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