# 臺灣博碩士論文加值系統

(44.192.38.248) 您好！臺灣時間：2022/11/26 23:32

:::

### 詳目顯示

:

• 被引用:1
• 點閱:123
• 評分:
• 下載:0
• 書目收藏:0
 本論文的目的是在開發一個二維翼型設計方法。首先將勢流設計方法延伸到黏性流計算。此設計方法是依據一已知的目標壓力分佈來設計翼型，並且使用牛頓-拉福森法來產生一個壓力分佈與目標壓力分佈相符的翼型幾何。RANS 法則被運用在黏性流計算上，而與勢流同樣的計算方法也被應用在設計上。黏性流計算的設計結果已經由邊界層計算方法得到驗證，並與勢流計算的結果進行比較。雖然設計者能根據目標的局部特性給定目標壓力分佈，但由此預知目標翼型上的受力是相當困難的。於是，使用拉格朗日乘數法的最佳化方法被發展出來。在本論文中,我們討論了拉格朗日乘數法的基本理論,同時也探討懲罰函數法,加強型拉格朗日乘數法和簡約梯度法。最後為了求解非線性問題,於是我們選擇了簡約梯度法作為我們的設計方法。設計目標是在滿足升力要求下使阻力減到最小。在本論文中,展示一個以此設計目標為基礎的範例，並且利用一形狀函數來滿足指定的壓力分佈。結果顯示，我們所展示的方法能成功地達到設計目標。
 The purpose of this thesis is to develop a two-dimensional foil design method. First a previously developed potential flow design method is extended to the viscous flow computations. This design method designs a foil based on a prescribed pressure distribution, and the Newton-Raphson method is used to achieve a foil geometry generating the prescribed pressure distribution. The RANS method is utilized for the viscous flow computations, and the same algorithm is applied to the designs. Design results by the viscous flow computations are validated by a boundary layer calculation method, and are compared to designs based on the potential flow computations. Although designers can specify a pressure distribution based on the desired local characteristics, it is hard to know the forces on the desired foil in advance. Therefore, an optimization method by using the Lagrange multiplier is then developed. The elementary theory of the Lagrange multiplier method, along with the penalty function method, the Augmented Lagrange multiplier method and the reduced gradient method are discussed in the thesis. The reduced gradient method for solving the nonlinear problems are finally applied to the foil designs. The design goal is to satisfy the lift requirement by minimizing the drag force. A design case based on this design goal is demonstrated in the thesis, and a shape function is also specified for the pressure distribution. Results show that the presented method successfully reach the design goals.
 摘要 iAbstract ii謝誌 iii目錄 iv圖目錄 v第一章 緒論 11.1 研究動機 11.2 文獻回顧 31.2.1進化演算法(Evolutionary Algorithms，EAs) 31.2.2限制條件最佳化方法 51.2.3 工程設計方法 71.3 本文使用方法概述 71.4 本文架構 8第二章 設計方法之理論 102.1 NURBS法 102.1.1 牛頓法 112.1.2 修正式牛頓法 112.2 限制條件下的最佳化方法 122.2.1拉格朗日乘數法(LM法) 122.2.2 懲罰函數法(Penalty Function Method) 182.2.3加強型拉格朗日乘數法(ALM法) 222.2.4 簡約梯度法(reduced gradient method) 27第三章 設計方法之設計程序 41第四章 NURBS方法的應用 444.1 設計實例 444.2 加入黏性效應進行設計 514.3 其他設計實例 58第五章 限制最佳化方法的應用 665.1 問題定義與推導 665.1.1設計過程 665.2 實例計算 72第六章 結果與討論 78參考文獻 80
 參考文獻1. 辛敬業(1995) “應用邊界元素法之二維翼面設計方法”，行政院國家科學委員會專題研究計劃成果報告，NSC-83-0209-E-019-013。2. 辛敬業(2000) “應用通用螺槳幾何描述法之螺槳葉片設計方法”，行政院國家科學委員會專題研究計畫成果報告。3. 劉惟信, “機械最佳化設計 第二版”,全華科技圖書公司.4. Antony Jameson, “Efficient Aerodynamic Shape Optimization,” 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 30 Aug - 1 Sep 2004, Albany, New York5. De Falco. “An introduction to Evolutionary Algorithms and their application to the Aerofoil Design Problem Part II：The Results.” Inverse Design and Optimisation Method. von Karman Institute for Fluid Dynamics,Lecture Series 1997-05.6. De Falco. An introduction to Evolutionary Algorithms and their application to the Aerofoil Design Problem Part I：The Algorithms. Inverse Design and Optimisation Method. von Karman Institute for Fluid Dynamics,Lecture Series 1997-05.7. De Falco. An introduction to Evolutionary Algorithms and their application to the Aerofoil Design Problem Part II：The Results. Inverse Design and Optimisation Method. von Karman Institute for Fluid Dynamics,Lecture Series 1997-05.8. De Falco, R. Del Balio, A. Della Cioppa and E.Tarantina, “A Parallel Genetic Algorithm for Transonic Airfoil Optimisation,” Evolutionary Computation, 1995., IEEE International Conference on, Volume: 1, PP.429-434, 29 Nov-1 Dec 1996.9. Eppler, R. and Somers, D.M., “A Computer Program for the Design and Analysis of Low-Speed Aitfoils”, Tech. Rep., NASA TM 80210, 198010. Hsin, C.-Y. “Application of the panel method to the design of two-dimensional foil sections”, J. of Chinese Society of Naval Architecture and Marine Engineers, Vol.13, No.2. 1994.11. Hsin, C.-Y. and Chang, Y.-L., “Solving a Hydrodynamic Design Problem by a Distributed Computing System”, 3rd International Conference on Hydro-dynamics, Seoul Korea, Oct. 1998.12. Hsin, C.-Y. and Chang, Y.-L., “A Hydrodynamic Design Method Developed on a Distributed Computing System”, Transcations of the Aeronautical and Astronautical Society of the Republic of China, Vol. 32, No.1, pp.89-95, 200013. J.A. van Egmond, “Numerical optimization of target pressure distributions for subsonic and transonic airfoil design,” AGARD Conference Proceedings No.463, Computational Methods for Aerodynamic Design (Inverse) and Optimization 11 p (N90-20976 14-05),March 199014. Lighthill “A new method of two-dimensional aerodynamic design”, RAND Technical Report M2112, ARC. 1945.15. M. Drela, “XFOIL: An Analysis and Design System for Low Reynolds Number Airfoils”, in Low Reynolds Number Aerodynamics, Vol. 54, 1989, Springer-Verlag Lecture Notes in Eng.16. M. D. Gunzburger. Introduction into mathematical aspects of flow control and optimization. Inverse Design and Optimisation Method. von Karman Institute for Fluid Dynamics,Lecture Series 1997-05.17. M. Giles, M. Drela, “A two-dimensional transonic aerodynamic design method,” AIAA Journal, Vol.25, No.9, 1986.18. R.F. van den Dam, J.A. van Egmond,J.W.Slooff, “Optimization of Target Pressure Distributions,” Special Course on Inverse Methods for Airfoil Design for Aeronautical and Turbomachinery Applications 13 p (N91-18035 10-02),AGARD Report No.780,Nov 199019. Shigenori Mishima and Spyros A. Kinnas. A Numerical Optimization Technique Applied to the Design of Two-Dimensional Cavitating Hydrofoil Section. Journal of Ship Research, September 1995.20. Shigeru Obayashi, Susumu Takanashi, “Genetic Algorithm for Aerodynamic Inverse Optimization Problems,” Genetic Algorithms in Engineering Systems: Innovations and Applications, pp.7-12, 12-14 Sep 1995.21. Sangho Kim, Juan J. Alonso and Antony Jameson, “Design Optimization of High–Lift Configurations Using a Viscous Continuous Adjoint Method,” 40th AIAA Aerospace Sciences Meeting and Exhibit January 14–17, 2002/Reno, NV22. Siva K. Nadarajah, Antony Jameson, “A COMPARISON OF THE CONTINUOUS AND DISCRETE ADJOINT APPROACH TO AUTOMATIC AERODYNAMIC OPTIMIZATION”, AIAA-2000-0667,Department of Aeronautics and Astronautics Stanford University Stanford, California 94305 U.S.A.
 國圖紙本論文
 推文當script無法執行時可按︰推文 網路書籤當script無法執行時可按︰網路書籤 推薦當script無法執行時可按︰推薦 評分當script無法執行時可按︰評分 引用網址當script無法執行時可按︰引用網址 轉寄當script無法執行時可按︰轉寄

 1 發展一以拉格朗日乘數法為基礎之螺槳設計方法

 無相關期刊

 1 併用勢流與黏性流流場分析計算結果於設計 2 實驗計畫法程式開發及應用於螺槳設計之探討 3 運用網際網路圖形化展現技術與分散式架構於工作排程之應用 4 隔離重物撞擊之氣袋其動態特性之分析研究 5 田口實驗設計法在消音設備性能分析之應用 6 三角化方法於邊界元素法之應用 7 網路遠程控制系統之軟體規劃－使用分散式元件物件模型 8 應用平行化基因演算法改進螺槳幾何之設計 9 船舶操縱時螺槳性能之預測 10 發展一以拉格朗日乘數法為基礎之螺槳設計方法 11 行腹腔鏡減重患者手術式選擇之影響因素探討 12 台灣市場股價、貨幣供給量與初級市場利率關聯性實證研究以TRI-GARCH模型分析。 13 二元反應變數在階層線性模型參數估計影響因子之探討 14 控制FDR多重檢定法的比較 15 利用後驗機率於非參數時間模型分群之研究

 簡易查詢 | 進階查詢 | 熱門排行 | 我的研究室