本研究使用了包含實驗設計(DOE)、反應曲面法(RSM)、基因演算法(GA)及計算流體力學(CFD)等理論的多參數最佳化流程來進行肋條/波形渠道及隔板型太陽能集熱器的幾何尺寸設計。統御方程式是以控制體積法(Control-Volume Approach)為基礎，配合有限差分法(Finite-Difference Method)來離散差分方程式後再求解。動量方程式中的速度及壓力耦合問題則以SIMPLE (Semi-Implicit Method for Pressure-Linked Equation)法來解決。
實例一是對肋條渠道的熱傳性能做最佳化設計，研究的參數有肋條高度、肋條寬度、以及肋條間距。紊流方程式是以控制體積法配合有限差分法並應用三種常見的紊流方程式來處理，網格的設計上是使用非結構性網格。結果顯示使用的最佳化流程是可以有效地應用在肋條渠道的最佳化設計上。而肋條對渠道內的熱傳率和磨擦因子皆有顯著的影響。最佳化尺寸設計在對稱肋條渠道中熱傳表現因子可提升至1.5，而非對稱肋條渠道的熱傳表現因子則是可以達到2.681。
而實例二是結合反應曲面法及基因演算法的最佳化流程應用在隔板型太陽能集熱器的設計上。以數值模擬的方式探討無因次化隔板長度 (L)、無因次化隔板寬度 (W) 以及無因次化隔板間距 (A) 在太陽能集熱器內對熱傳現象所造成的影響。結果得知隔板長度與隔板的間距對熱傳性能有明顯的影響，隔板寬度所造成的效果則是不顯著。而經過最佳化設計後的隔板尺寸 (L, W, A) = (0.8, 0.1, 2)的熱傳表現可比參考文獻的數據高出61%。
在實例三裡，是討論波形渠道中壁面波形振幅、波長、以及寬高比對渠道的層流流場與熱傳產生的影響。使用結合熱傳與壓降效應的熱傳效能因子來分析渠道中的現象。研究中發現波形振幅與寬高比對波形渠道的熱傳特性有顯著的影響，而波長對熱傳的影響則是不大。而由於增加熱傳率一般都會伴隨著壓降的增加，所以也利用了結合反應曲面法及基因演算法的最佳化流程來找出最佳熱傳表現的波形尺寸，設計的參數為波形振幅、波長、以及寬高比，熱傳性能因子則為設計的目標參數，雷諾數範圍則為50~450。最佳化流程中反應曲面法建立出的目標函數和以CFD計算出來的結果誤差在3.2%~5.4%。最佳化後的尺寸所得到的熱傳效能因子在雷諾數為50時比參考文獻高出了34%，而在雷諾數為150時則是高出了61%。
綜觀本研究利用結合反應曲面法及基因演算法的最佳化流程在設計幾何尺寸的應用後，在肋條/波形渠道及隔板型太陽能集熱器等三個實例中得到有效的結果。因此可得知這個最佳化流程在以上三個方面的尺寸快速設計開發與最佳化上是個有力的工具，更可進一步的擴展應用到其他的熱傳設計上。

In this study, a multi-parameter constrained optimization procedure integrating the design of experiments (DOE), response surface methodology (RSM), genetic algorithm (GA) and computational fluid dynamics (CFD) is proposed to design the geometric configuration for three practical cases: ribbed/wavy channels and solar collector with partitions. In view of the optimization performed in this study, the proposed procedure which combines the response surface methodology and genetic algorithm works well on designing the geometric configuration of the cases: ribbed/wavy channel and solar collector with partitions. Therefore, it can be concluded that this integrated optimization process is a powerful tool for developing the rapid design and doing optimization for these three cases, and it can be further extended to the optimization of other heat transfer designs.

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