潛艦在水下潛行時，其阻力對潛艦的快速性和續航力有著重要的影響；因此至今，潛艦在潛行時所需克服的阻力以及渦流和機械組件所造成的噪音、震動一直是需要改善的指標，不管是核子潛艦或者是柴電潛艦皆有相同的問題，尤其核子潛艦之噪音較為嚴重。
此外，潛艦本體以及其身上的帆罩外型，皆是影響這些問題的原因之一；若在外型上有了適當的改善，就能夠降低行進阻力與減少渦流噪音，進而可提高潛艦在水中的匿蹤性以及提升動力效率，因而降低航行中被偵測之危險及減少所需耗掉之燃油成本，並提高國防作戰效益。
本論文之目的主要在於應用拉凡格式法(Levenberg-Marquardt M ethod)並搭配套裝軟體CFD-ACE+，來探討反算設計問題於潛體最佳化船型設計研究。研究方向主要分成兩部分，方向一:探討潛體外型之最佳化，方向二:進行帆罩形狀與位置之最佳化設計。
首先，吾人考慮既有之DARPA-SUBOFF模型，在體積固定條件下，觀察在不同流速下該潛體所受之阻力變化，並藉由已知模型之參數進行計算及探討，以降低模型的阻力為目標，並藉此進行最佳化處理，計算出最佳幾何外型，最後使總阻力得以下降。
緊接著以帆罩為討論目標，同樣的模型且在帆罩體積變化不大之條件下，以帆罩外型前端曲面之曲度及中心位置作為變化參數，並進行參數修正，同樣藉拉凡格式法進行計算及探討，並找出最佳化帆罩曲面之曲度以及最佳位置，並觀察帆罩周圍流場的變化，同時也是以降低潛體阻力為目標。

This research uses the Levenberg-Marquardt Method and the commercial package CFD-ACE+ in the development of a submarine shape optimization design. It’s mainly divided into two directions: direction one is to explore the optimal shape of a submarine’s main body; and direction two is to explore the optimal sail shape and its optimal location. First, with reference to the existing basic submarine model, DARPA-SUBOFF, and under the condition of a fixed volume, we observe that resistance changes under different speeds. Using the parameters of the known model to calculate and explore and reduce the resistance of the model is the goal. To optimize this submarine’s model shape, we find the best body geometry, thereby making the total resistance reduced. Next, the submarine sail is the discussion target under the condition that the model sail volume only changes a little bit. The shape of the curvature of the front surface of the sail and its central position is the changed parameter, and then we correct and optimize it. Afterwards, we try to find the best curvature and the best position to reduce the total resistance. From the results, our optimization can be seen. The main body (Hull) shape doesn’t change. But the sail parameters change, which not only optimizes its position and the curvature of its surface, but also the two together achieve optimization. In this case, the resistance reduction phenomenon has occurred.

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