This paper focuses on the parametric modelling and the optimal design of heat exchanging fan blade’s aerodynamic shape. The study can be divided into three parts. Firstly, describing fan blade’s airfoil, angle of attack, angle of twist and swept forward angle based on the NACA four digits airfoil, forming three-dimensional Cartesian coordinate points, and constructing the geometric model of parametric fan blade. Secondly, by referring to the specification of the competitor fan, finding the steady state flow rate of different fan blade aerodynamic shape design, with respect to the competitor fan’s operating point. Thirdly, by combining CFD (Computational Fluid Dynamics) results of different fan blade design and neural network, creating the initial parameters-performance model. Afterwards, searching the aerodynamic shape of the fan blade corresponding to the maximum flow rate by genetic algorithm, and further enriching the data set by predicting the ideal design parameters and their distribution, so as to increase the preciseness of the parametric model, until acquiring the precise model of fan performance and the optimal solution of fan blade’s geometric shape parameters.

The result indicates that, in the same fan case dimension and operating point, the volumetric flow rate of the fan blade aerodynamic shape gained by this method is 70% more than the competitor fan, which is significant enough to demonstrate the superiority of this design method. The simultaneous modelling and optimal deign procedure proposed by this paper combines parametric model, numerical simulation big data and the systematic approach of iteration between neural network and optimal method. Proved to be very effective and powerful, the design procedure could be valuable to various kinds of product development and optimal design.
摘要 I
EXTENDED ABSTRACT II
致謝 XII
目錄 XIII
表目錄 XV
圖目錄 XVI
符號 XIX
第一章、緒論 1
1-1研究動機 1
1-2文獻回顧 2
1-3本文架構 3
第二章、風扇扇葉程式開發 5
2-1扇葉翼剖面的建構 7
2-1-1翼弦長的計算 11
2-1-2扇葉與圓周的接合與前掠角設定 12
2-2風扇扇葉的建構 12
第三章、流場模擬 15
3-1流體力學基礎理論與數值方法 15
3-2風扇P-Q性能曲線與邊界條件的選定 15
3-3實際的流場設定 19
3-4流場模擬結果與觀察 22
第四章、同步建模與最佳化設計 27
4-1倒傳遞類神經網路 27
4-2同步建模與最佳化設計 29
第五章、結論與未來展望 36
5-1結論 36
5-2未來展望 37
參考文獻 39
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電子全文 ( 網際網路公開日期：20270814 )