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研究生: 邱柏森
Chiu, Po-Sen
論文名稱: UCAV模型在低速及穿音速下的數值研究
Numerical Simulation of UCAV Model Under Low Speed and Transonic Conditions
指導教授: 黃捷楷
Gaetano, Currao
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 94
中文關鍵詞: 無人戰鬥飛行載具計算流體力學紊流模型可壓縮流修正因子空氣動力學
外文關鍵詞: Unmanned Combat Aerial Vehicle, Computational Fluid Dynamics, Turbulence Model, Compressible Flow Correction Factor, Aerodynamics
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  • 本研究以源自NATO AVT-161任務小組之SACCON構型所發展的 UCAV NCKU模型為研究對象,透過數值模擬方式探討其於低速與穿音速流場下之氣動特性與流場結構。研究目的在於分析不同流動條件下之表面壓力分佈、升阻力特性與渦流行為,並評估壓縮性效應對 UCAV 氣動表現之影響。
    數值模擬採用 ANSYS Fluent 軟體進行。低速條件設定為來流速度 19.16 (m/s)、雷諾數 1.01×10⁵,並於攻角 0°、5° 與 10° 下分別使用 Laminar Solver 與 k-ω SST 紊流模型進行模擬,比較不同解法對壓力係數分佈、升阻力係數與壁面流線之預測差異,並與文獻中之風洞實驗壓力量測與油膜實驗及水洞實驗結果進行比較。穿音速模擬則設定自由流馬赫數為 0.8,採用 k-ω SST 模型並啟用能量方程式,分析0°攻角下之壓力分佈、馬赫數分佈與震波形成位置,同時將數值結果與 Prandtl–Glauert 壓縮性修正理論進行比較,以探討其適用性與限制。
    研究結果顯示,在低速條件下,Laminar Solver 於低雷諾數流場中能較準確捕捉前緣分離、逆流區域及Inner vortex結構,其壓力分佈與油膜流線結果與實驗觀察具有良好一致性;相較之下,k-ω SST 模型在部分區域呈現較平滑之流線預測。在穿音速條件下,翼尖區域可觀察到局部音速與超音速區域的形成,顯示壓縮性效應已顯著影響流場結構,且僅以 Prandtl–Glauert 修正已不足以完整描述實際壓力分佈行為。整體而言,本研究釐清了 UCAV 模型於低速與穿音速條件下之氣動特性差異,並可作為未來 UCAV 數值模擬與實驗驗證之參考基礎。

    This study investigates the aerodynamic characteristics and flow-field structures of a UCAV NCKU model developed from the SACCON configuration of the NATO AVT-161 project through numerical simulations under low-speed and transonic flow conditions. The objective of this research is to analyze the surface pressure distribution, lift and drag characteristics, and vortex behavior under different flow conditions, and to evaluate the influence of compressibility effects on the aerodynamic performance of the UCAV model.
    The numerical simulations are conducted using ANSYS Fluent. For the low-speed condition, the freestream velocity is set to 19.16 m/s, corresponding to a Reynolds number of 1.01 × 10⁵. Simulations are performed at angles of attack of 0°, 5°, and 10° using both the Laminar Solver and the k–ω SST turbulence model. The predictive differences in pressure coefficient distribution, lift and drag coefficients, and wall shear streamlines obtained from the two solvers are examined and compared with wind tunnel pressure measurements, oil-film visualization, and water tunnel experimental results reported in the literature.
    For the transonic simulation, the freestream Mach number is set to 0.8, and the k–ω SST turbulence model with the energy equation activated is employed. The analysis focuses on the pressure distribution, Mach number distribution, and shock formation locations at an angle of attack of 0°. The numerical results are further compared with those obtained using the Prandtl–Glauert compressibility correction to examine its applicability and limitations.
    The results indicate that under low-speed conditions, the Laminar Solver is able to more accurately capture leading-edge separation, reverse-flow regions, and inner vortex structures in low-Reynolds-number flows, showing good agreement with experimental observations in terms of pressure distribution and oil-film flow patterns. In comparison, the k–ω SST model produces relatively smoother streamline predictions in certain regions. Under transonic conditions, localized sonic and supersonic regions are observed near the wingtip, indicating that compressibility effects significantly influence the flow-field structure, and that the Prandtl–Glauert correction alone is insufficient to fully describe the actual pressure distribution behavior. Overall, this study clarifies the differences in aerodynamic characteristics of the UCAV model under low-speed and transonic conditions and provides a reference for future numerical simulations and experimental validations of UCAV configurations.

    Abstract I 摘要 II Acknowledgement III Table of Contents IV List of Tables VI List of Figures VII 1. Introduction 1 1.1. Preface 1 1.2. Literature Review 1 1.3. Motivation and Objective for Research 3 2. Numerical Techanique 4 2.1. Basic Assumptions 4 2.1.1. Low Speed Assumptions 5 2.1.2. Transonic Assumptions 5 2.2. Turbulent Model 6 2.2.1. Reynolds Averaged Navier-Stokes (RANS) equations 6 2.2.2. K-ω SST Turbulent Model 8 2.3. Laminar Solver 9 2.4. Simple Scheme 12 2.5. Couple Scheme 14 3. Fundamental of Aerodynamics Theory 15 3.1. Aerodynamics Force and Moment Coefficients 15 3.1.1. Lift Coefficient 15 3.1.2. Drag Coefficient 16 3.1.3. Pitching Moment Coefficient 16 3.1.4. Pressure Coefficient 17 3.2. Reynolds number 18 3.3. Mach Number and Transonic Flow 19 3.4. Boundary-Layer Theory 20 3.4.1. Laminar Boundary Layer 20 3.4.2. Turbulent Boundary Layer and the Law of the Wall 21 3.5. Prandtl–Glauert compressibility correction 22 4. Research Methodology 23 4.1. Methodology 23 4.2. UCAV NCKU Model 25 4.3. Low Speed Open Jet Wind Tunnel 29 4.4. Transonic wind tunnel at ASTRC 30 5. Numerical Simulation Setup 31 5.1. Pre-processing 31 5.1.1. Modify the UCAV Model 31 5.1.2. Support Sting CAD Drawing 32 5.1.3. Slice the Face Near the Leading Edge 35 5.2. Mesh Generation for UCAV Model 36 5.3. Low Speed Simulation 39 5.3.1. Computational Domain and Boundary Conditions 39 5.3.2. Mesh for Low Speed Wind Tunnel Domain 41 5.3.3. Solver Configuration 42 5.4. Transonic Simulation 44 5.4.1. Computational Domain and Boundary Conditions 44 5.4.2. Mesh for Transonic Wind Tunnel Domain 47 5.4.3. Solver Configuration 48 6. Results and Discussion 50 6.1. Low Speed Simulation Results 50 6.1.1. Wall Y plus for K-Omega SST Solver 50 6.1.2. Aerodynamics Coefficients (C_L and C_D) 53 6.1.3. Surface Pressure Distribution 55 6.1.4. Oil Film Patterns and Numerical Wall Shear Streamlines 62 6.2. Transonic Simulation Results at M = 0.8 69 6.2.1. Wall Y plus for K-Omega SST Solver 69 6.2.2. Aerodynamics Coefficients (C_L and C_D) 71 6.2.3. Surface Pressure Distrubution 71 6.2.4. Pressure and Mach number Distribution along Spanwise 75 6.2.5. Numerical Wall Shear Streamlines for Transonic M=0.8 79 7. Conclusion 80 7.1. Low speed conclusion 80 7.2. Transonic conclusion 81 8. Future Work 82 References 83

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