飞机设计优化的半解析多维算法:学生设计建造飞行(DBF)竞赛

V. Šajn
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引用次数: 0

摘要

2019年美国航空航天研究所(AIAA)/德事隆航空/雷神导弹系统设计/建造/飞行(DBF)竞赛的获胜者是斯洛文尼亚卢布尔雅那大学机械工程学院的爱德华·鲁斯詹团队。edward Rusjan团队使用严格的科学方法击败来自美国最负盛名大学的对手团队。团队开发了一种半解析多维算法,用于飞机设计优化,目的是根据比赛规则最大化比赛分数。制作了两个中间原型模型,并对单次地面任务和三次飞行任务进行了测试,以微调算法的经验系数。采用RANS数值模拟和无粘板法对飞机模型的空气动力学进行了预测。通过低湍流风洞试验,验证了所选飞机外载结构的低阻力。由卢布尔雅那学生命名为“漂亮男孩”的比赛飞机模型的机翼和机身由碳-玻璃夹层复合材料和芳纶蜂窝作为夹层填充物制成。在图森TIMPA机场的最后一次飞行中,在最后一次飞行任务中,驾驶“漂亮男孩”的飞行员Timotej Hofbauer在10分钟的时间内跑了18圈,这是绝对的比赛记录。亚军佐治亚理工学院的队伍比他们慢22%,总共跑了14圈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-Analytical Multidimensional Algorithm for Aircraft Design Optimisation: Student Design Build Fly (DBF) Competition
The winner of American Institute of Aeronautics and Astronautics (AIAA)/Textron Aviation/Raytheon Missile Systems Design/Build/Fly (DBF) Competition 2019 was Edvard Rusjan team from Faculty of Mechanical Engineering, University of Ljubljana, Slovenia. Edvard Rusjan team use a strict scientific approach to beat opposing teams from most prestigious US Universities. Team developed a semi-analytic multidimensional algorithm for aircraft design optimization with an aim to maximize competition score in accordance with the competition rules. Two intermediate prototype models were produced and tested for single ground and three flying missions to fine tune algorithm empirical coefficients. Aircraft model aerodynamics was predicted with RANS numerical simulations and dynamic stability with Inviscid Panel method. By measurement in Low Turbulence Wind Tunnel the low drag of selected aircraft external load configuration was verified. Wing and fuselage of competition aircraft model named by Ljubljana students "Pretty Boy" were made of carbon-glass sandwich composite and Aramide honeycomb as sandwich filler. At final fly-off at TIMPA field in Tucson, in final flight mission team pilot Timotej Hofbauer with "Pretty Boy" scored 18 laps in 10 minutes time slot which was absolute record of competition. Runner-up Georgia Institute of Technology team was 22% slower and finished with 14 scored laps.
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