大型航空模型制作中，數據分析是保障模型性能、安全性與制作效率的核心環節，需圍繞設計參數、材料特性、結構強度等關鍵維度展開，為制作過程提供科學依據。

　　In the production of large-scale aviation models, data analysis is the core link to ensure model performance, safety, and production efficiency. It needs to be carried out around key dimensions such as design parameters, material properties, and structural strength to provide scientific basis for the production process.

　　設計參數的數據分析是基礎。需重點分析模型的尺寸比例與氣動布局數據，根據原型機參數按比例縮放后，通過流體力學模擬計算機翼面積、展弦比、翼型曲率等對升力、阻力的影響，例如計算不同攻角下的升阻比，確定最優機翼角度以提升飛行穩定性。同時，對模型的重量分布數據進行分析，包括機身、機翼、動力系統等各部件的重量占比，通過重心計算軟件模擬重心位置（通常需位于機翼前緣 1/4 弦長處），避免因重心偏移導致飛行時抬頭或低頭。此外，需分析模型的飛行性能參數，如預估巡航速度、最大爬升率、續航時間等，結合動力裝置功率數據，判斷設計方案是否滿足預期飛行需求，若存在參數不匹配（如動力不足），需提前調整設計。

　　The data analysis of design parameters is the foundation. It is necessary to focus on analyzing the size ratio and aerodynamic layout data of the model. After scaling the prototype parameters proportionally, the effects of wing area, aspect ratio, wing curvature, etc. on lift and drag should be simulated through fluid mechanics. For example, the lift to drag ratio at different angles of attack should be calculated to determine the optimal wing angle to improve flight stability. At the same time, the weight distribution data of the model is analyzed, including the weight proportion of various components such as the fuselage, wings, and power system. The center of gravity position is simulated using center of gravity calculation software (usually located at 1/4 chord length of the leading edge of the wing) to avoid head up or down during flight due to center of gravity offset. In addition, it is necessary to analyze the flight performance parameters of the model, such as estimated cruise speed, maximum climb rate, endurance time, etc., and judge whether the design scheme meets the expected flight requirements in combination with the power data of the power plant. If there is a parameter mismatch (such as insufficient power), the design needs to be adjusted in advance.

　　材料性能的數據分析影響制作選材。針對模型常用材料（如碳纖維復合材料、輕木、泡沫板），需分析其物理性能數據：碳纖維的抗拉強度（通常達 3000MPa 以上）、密度（約 1.7g/cm），輕木的抗彎強度（約 40MPa）、含水率（需控制在 8% 以下），泡沫板的耐沖擊性、耐熱性等。通過對比不同材料的強度與重量比，選擇既能滿足結構強度要求又能控制整體重量的材料，例如機翼主梁需選用高強度碳纖維，而機身非承重部位可采用輕質泡沫板。同時，分析材料的加工性能數據，如切割難度、粘接強度（不同膠水與材料的粘合強度需達 0.5MPa 以上），確保材料適配制作工藝，避免因材料過硬或過脆導致加工過程中出現斷裂。

　　The data analysis of material properties affects the selection of materials for production. For the commonly used materials of the model (such as carbon fiber composite, lightweight wood, foam board), it is necessary to analyze their physical performance data: tensile strength of carbon fiber (usually more than 3000 MPa), density (about 1.7 g/cm), bending strength of lightweight wood (about 40 MPa), moisture content (need to be controlled below 8%), impact resistance and heat resistance of foam board, etc. By comparing the strength and weight ratio of different materials, select materials that can both meet the structural strength requirements and control the overall weight. For example, the main beam of the wing needs to use high-strength carbon fiber, while the non load bearing parts of the fuselage can use lightweight foam plates. At the same time, analyze the processing performance data of the material, such as cutting difficulty and bonding strength (the bonding strength between different adhesives and materials needs to be above 0.5MPa), to ensure that the material is compatible with the manufacturing process and avoid fracture during processing due to the material being too hard or brittle.

　　結構強度的數據分析關乎模型安全性。利用有限元分析軟件對關鍵部件（如機翼與機身連接部位、起落架支柱）進行受力模擬，分析在不同工況（如起飛時的升力、降落時的沖擊力、側風時的側向力）下的應力分布，確保最大應力不超過材料的屈服強度（如鋁合金部件應力需控制在 200MPa 以內）。對薄弱部位（如尾翼與機身連接處）的變形量數據進行分析，要求最大變形量不影響氣動外形（如尾翼偏轉變形需小于 5°），必要時通過增加加強筋或增厚材料來提升強度。此外，需分析模型的抗疲勞性能數據，模擬多次飛行后結構的損傷累積，例如起落架經過 100 次起降后的磨損量，確保關鍵部件的使用壽命滿足使用需求。

　　The data analysis of structural strength is crucial for model security. Use finite element analysis software to simulate the stress on key components such as the connection between the wing and fuselage, landing gear struts, and analyze the stress distribution under different operating conditions (such as lift during takeoff, impact force during landing, and lateral force during crosswind) to ensure that the maximum stress does not exceed the yield strength of the material (such as aluminum alloy components, which need to be controlled within 200MPa). Analyze the deformation data of weak areas (such as the connection between the tail wing and the fuselage), and ensure that the maximum deformation does not affect the aerodynamic shape (such as the deflection deformation of the tail wing should be less than 5 °). If necessary, increase the strength by adding reinforcing ribs or thickening materials. In addition, it is necessary to analyze the anti fatigue performance data of the model and simulate the cumulative damage of the structure after multiple flights, such as the wear of the landing gear after 100 takeoffs and landings, to ensure that the service life of key components meets the usage requirements.

　　動力系統匹配的數據分析影響飛行性能。需分析發動機（或電機）的功率、扭矩數據與模型重量的匹配關系，通常每千克模型重量需配備 100-150 瓦的動力功率，若模型總重 5 千克，則需選擇功率 750 瓦以上的動力裝置。同時，分析螺旋槳的參數數據，如直徑、螺距與發動機轉速的匹配性，通過計算螺旋槳的推進效率（通常需達 70% 以上），確定最優螺旋槳型號，避免因螺旋槳過大導致動力過載，或過小導致推力不足。此外，需分析電池（針對電動模型）的容量、放電倍率數據，根據動力系統功耗計算續航時間（如 2000mAh 電池在 10A 放電電流下可續航 12 分鐘），確保電池性能滿足單次飛行需求，且重量不影響模型重心。

　　The data analysis of power system matching affects flight performance. It is necessary to analyze the matching relationship between the power and torque data of the engine (or motor) and the weight of the model. Typically, a power output of 100-150 watts is required per kilogram of model weight. If the total weight of the model is 5 kilograms, a power unit with a power output of 750 watts or more needs to be selected. At the same time, by analyzing the parameter data of the propeller, such as the matching between diameter, pitch, and engine speed, and calculating the propulsion efficiency of the propeller (usually above 70%), the optimal propeller model is determined to avoid power overload caused by a large propeller or insufficient thrust caused by a small propeller. In addition, it is necessary to analyze the capacity and discharge rate data of the battery (for electric models), and calculate the endurance time based on the power consumption of the power system (such as a 2000mAh battery that can last for 12 minutes at a discharge current of 10A), to ensure that the battery performance meets the requirements of a single flight and that the weight does not affect the center of gravity of the model.

　　測試數據的分析用于優化改進。在地面測試階段，分析模型的滑行數據（如滑行距離、轉向靈活性），判斷起落架輪距、剎車力度是否合適；通過發動機怠速、全速運行時的振動數據（振幅需小于 0.5mm），檢測動力裝置安裝是否牢固。試飛階段需記錄飛行姿態數據（如滾轉角度、爬升率）、速度數據（通過 GPS 模塊實時采集）、電池電壓變化數據等，與設計預期對比，若實際續航時間低于預估 30%，需排查動力系統效率或模型氣動阻力問題；若飛行中出現側傾，需分析機翼對稱性數據，調整機翼安裝角度。通過多輪測試數據的積累與分析，逐步優化模型結構與參數，提升飛行穩定性與可靠性。

　　The analysis of test data is used for optimization and improvement. During the ground testing phase, analyze the sliding data of the model (such as sliding distance and steering flexibility) to determine whether the landing gear track and braking force are appropriate; Check whether the power unit is securely installed by analyzing the vibration data (amplitude less than 0.5mm) during engine idle and full speed operation. During the test flight phase, it is necessary to record flight attitude data (such as roll angle, climb rate), speed data (collected in real-time through GPS module), battery voltage change data, etc., and compare them with the design expectations. If the actual endurance time is less than the estimated 30%, it is necessary to investigate the efficiency of the power system or model aerodynamic resistance issues; If there is a roll during flight, it is necessary to analyze the wing symmetry data and adjust the wing installation angle. By accumulating and analyzing data from multiple rounds of testing, the model structure and parameters are gradually optimized to improve flight stability and reliability.

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