本文以逆算法及計算流體力學商業套裝軟體搭配實驗方法來探討板鰭管式熱交換器之熱傳及流體流動特性，並探討鰭片間距、風速與管徑對所得結果之影響。由於鰭片上的熱傳係數可能為不均勻分佈，故將鰭片劃分為數個小區域。之後，利用結合有限差分法、最小平方法及實驗溫度量測值之逆算法來預測鰭片上之熱傳係數。為了求得較正確之板鰭管式熱交換器的熱傳及流體流動特性數值，利用計算流體力學軟體配合適當之流動模式及網格格點數所求得於各量測點之鰭片溫度及鰭片上之熱傳係數須盡可能分別接近實驗溫度量測值、逆算結果及先前之結果。本文結果顯示對於管徑為27 mm，由RNG k-ε紊流模式所求得結果較為準確；對於2 mm之小管徑，則由層流模式所求得結果較為準確。這意味著流動模式對所求得結果之影響是不忽視的，且所選取之網格點數可能須隨著風速的增快而增加。因此本文以不同之流動模式搭配適當的格點數求得鰭片溫度、熱傳係數及空氣之速度、溫度與壓力分布。此外，本文之結果亦顯示對應大管徑之熱傳係數、摩擦係數f與壓降皆大於對應小管徑之值，且大管徑之摩擦係數f高於小管徑之摩擦係數約153％至277％。

The present study applies the inverse method and computational fluid dynamics commercial software in conjunction with the experimental method to predict the heat transfer and fluid flow characteristics of plate-finned tube heat exchangers. The effects of parameters such as air velocity, fin spacing and tube diameter are examined. Due to the heat transfer coefficient on the fin is non uniform, the fin is divided into several sub-regions. Later, the inverse method applies finite difference method in conjunction with the least-squares scheme and the experimental data to estimate the heat transfer coefficient on the fins. More accurate results can be obtained if the heat transfer coefficient is close to the inverse results and matches the existing correlations. The results obtained using the RNG k-ε turbulence flow model for the tube diameter being 27 mm and the laminar model for the tube diameter being 2 mm is more accurate. It means the importance of flow model is negligible, and the number of grid points may also need to change with the air velocity. Therefore, the present study applies different flow models with appropriate grid points to obtain the fin temperature, heat transfer coefficient, air velocity and pressure distribution. Furthermore, the heat transfer coefficient, friction factor and the pressure drop of the big tube diameter is larger than the small tube diameter. The increases friction factor is about 153％ to 277％.

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