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BLADE PLANFORM OPTIMIZATION FOR A DUAL SPEED ROTOR CONCEPT

机译:双速转子概念的叶片计划优化

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The paper illustrates the results of a multi-objective optimization activity performed on the blade planform shape of a medium-size helicopter in order to maximize the beneficial effects of a dual speed rotor technology and to provide a new baseline configuration for the possible application of active devices for the further improvements of the rotor performance. The optimization is performed with the aim to minimize the average total power and the average OASPL for four different flight conditions: a cruise flight and a max-speed level flight at full rotor speed and a 14.3° climb and a 6° descent flight at 90%RPM rotor speed. Additional flight conditions are tested after the optimization in order to further verify the benefits of the optimization. The planform shape is optimized by modifying the sectional chord lengths, the local sweep angles and the local twist angles of selected design points within given constraints. The commercial aeromechanics code FlightLab and the in-house aeroacoustic module OptydB_FRN have been selected as the best compromise between accuracy of the results and moderate CPU requirements. These tools, along with a planform modeller are arranged in an optimization workflow that was built by using the commercial simulation framework toolkit Optimus~® by Noesis. A genetic algorithm is used for the optimization phase. The built-up optimization procedure and the application of the described computational tools, with their respective peculiarities, advantages and limitations, demonstrate to be effective at producing reasonable performance improvements. The combined effects of rotor speed reduction and planform optimization produce power reductions ranging from 3.52%, in hover flight, to 5.96%, in fly-over flight, and noise reductions ranging from 1.88dB, in fly-over flight, to 3.40dB, in descent flight.
机译:本文说明了对中型直升机的叶片平面形状进行的多目标优化活动的结果,以最大程度地发挥双速旋翼技术的有益效果,并为主动应用的可能应用提供新的基线配置进一步提高转子性能的装置。进行优化的目的是使四种不同的飞行条件下的平均总功率和平均OASPL最小化:全旋翼速度下的巡航飞行和最大速度水平飞行,以及90度下的14.3°爬升和6°下降飞行%RPM转子速度。优化后会测试其他飞行条件,以进一步验证优化的好处。通过在给定的约束范围内修改选定设计点的截面弦长,局部扫角和局部扭转角,可以优化平面形状。选择商业航空力学代码FlightLab和内部航空声学模块OptydB_FRN作为结果精度与适度CPU要求之间的最佳折衷方案。这些工具与平面模型建模器一起安排在优化工作流程中,该工作流程是使用Noesis的商业仿真框架工具包Optimus®构建的。遗传算法用于优化阶段。组合的优化过程和所描述的计算工具的应用,以及它们各自的特点,优点和局限性,在产生合理的性能改进方面被证明是有效的。转子速度降低和飞机外形优化的综合效果可将滑行飞行的功率降低3.52%,飞越飞行的功率降低5.96%,飞越飞行的功率降低1.88dB,降低至3.40dB,在下降的飞行中。

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