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Development Of Non-Optimum Factors For Launch Vehicle Propellant Tank Bulkhead Weight Estimation

机译:运载火箭推进器舱壁重量非最佳因素的发展

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Non-optimum factors are used during aerospace conceptual and preliminary design to account for the increased weights of as-built structures due to future manufacturing and design details. Use of higher-fidelity non-optimum factors in these early stages of vehicle design can result in more accurate predictions of a concept's actual weights and performance. To help achieve this objective, non-optimum factors are calculated for the aluminum-alloy gores that compose the ogive and ellipsoidal bulkheads of the Space Shuttle Super-Lightweight Tank propellant tanks. Minimum values for actual gore skin thicknesses and weld land dimensions are extracted from selected production drawings, and are used to predict reference gore weights. These actual skin thicknesses are also compared to skin thicknesses predicted using classical structural mechanics and tank proof-test pressures. Both coarse and refined weights models are developed for the gores. The coarse model is based on the proof pressure-sized skin thicknesses, and the refined model uses the actual gore skin thicknesses and design detail dimensions. To determine the gore non-optimum factors, these reference weights are then compared to flight hardware weights reported in a mass properties database. When manufacturing tolerance weight estimates are taken into account, the gore non-optimum factors computed using the coarse weights model range from 1.28 to 2.76, with an average non-optimum factor of 1.90. Application of the refined weights model yields non-optimum factors between 1.00 and 1.50, with an average non-optimum factor of 1.14. To demonstrate their use, these calculated non-optimum factors are used to predict heavier, more realistic gore weights for a proposed heavy-lift launch vehicle's propellant tank bulkheads. These results indicate that relatively simple models can be developed to better estimate the actual weights of large structures for future launch vehicles.
机译:在航空航天概念设计和初步设计中使用了非最佳因素,以解决由于未来制造和设计细节而导致的已建成结构重量增加的问题。在车辆设计的这些早期阶段中使用更高保真度的非最佳因素可以对概念的实际重量和性能做出更准确的预测。为了帮助实现此目标,计算了组成航天飞机超轻型坦克推进剂坦克的椭圆形和椭圆形舱壁的铝合金孔的非最佳因素。从选定的生产图纸中提取出实际的戈尔表皮厚度和焊道尺寸的最小值,并将其用于预测参考戈尔重量。还将这些实际蒙皮厚度与使用经典结构力学和储罐耐压测试压力预测的蒙皮厚度进行比较。分别为粗细和粗细的权重模型开发了模型。粗略模型基于标准压力大小的蒙皮厚度,而精炼模型则使用实际戈尔蒙皮厚度和设计细节尺寸。为了确定戈尔非最佳因素,然后将这些参考权重与质量属性数据库中报告的飞行硬件权重进行比较。当考虑制造公差权重估计时,使用粗权重模型计算的戈尔非最佳因子范围为1.28至2.76,平均非最佳因子为1.90。应用精制权重模型得出的非最佳因子在1.00和1.50之间,平均非最佳因子为1.14。为了证明其用途,这些计算出的非最佳因子用于预测拟议的重型运载火箭的推进剂舱壁的重,更现实的戈尔重量。这些结果表明,可以开发出相对简单的模型来更好地估计大型结构的实际重量,以供将来的运载火箭使用。

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