本文擬以數值逆算法及商業計算流體力學軟體配合實驗量測溫度來預測密閉矩形空間在不同傾斜角的熱傳特性。本研究藉由量測標準試件的內部溫度後，利用逆算法預測標準試件之表面溫度及平均紐賽數(Nusselt number)。本文逆算法之優點在於進行逆算法前，不需要任何疊代過程與初始猜值。為了使本研究更加完整，本文亦將使用計算流體力學軟體模擬本實驗架構，模擬密閉空間內之熱場及流場的分佈情形。結果顯示，密閉矩形內的平均紐賽數隨著空氣間距增加而增加，而在相同空氣間距下，傾斜角的改變對於兩板間溫差改變不大。欲驗證本文逆算法結果之正確性與可靠性，將與計算流體力學商業軟體之數值結果和經驗公式相比較，結果顯示，本文之逆算法具有高度準確性。

The present study applies the numerical and inverse methods in conjunction with the experimental temperature data to determine the heat transfer and fluid flow characteristics in an inclined enclosure rectangular for natural convection. In this study, the present inverse scheme in conjunction with the experimental temperature data is applied to determine the temperature and average Nusselt number. The advantages of this inverse algorithm do not need any iterative process and the initial guess. In addition, this article will be applied to computational fluid dynamics commercial software with experimental temperature measurement to simulation the temperature and the flow field distribution. The results show that the average Nusselt number increased with the increase of the air space, the temperature do not significant change at the same air space in various kinds of angle. In order to verify the accuracy and reliability of the present method, the present results are compared to the numerical results and the correlation equations. The results show that the present results are in good agreement.

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