中国机械工程

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面向绿色航空的客机机翼外形和飞行条件设计

王宇1;邓海强1;杨振博1;张帅2   

  1. 1.南京航空航天大学飞行器先进设计技术国防重点学科实验室,南京,210016
    2.中国商用飞机有限责任公司北京民用飞机技术研究中心,北京,102211
  • 出版日期:2017-08-10 发布日期:2017-08-07
  • 基金资助:
    国家自然科学基金资助项目(11602103)
    National Natural Science Foundation of China (No. 11602103)

Design of Wing Shapes and Flight Operations of Commercial Aircrafts for Green Aviation

WANG Yu1;DENG Haiqiang1;YANG Zhenbo1;ZHANG Shuai2   

  1. 1.Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle,Nanjing University of Aeronautics and Astronautics, Nanjing,210016
    2.Beijing Aeronautical Science & Technology Research Institute of COMAC, Beijing, 102211
  • Online:2017-08-10 Published:2017-08-07
  • Supported by:
    National Natural Science Foundation of China (No. 11602103)

摘要: 从环境影响、航空公司运营、乘客体验多个角度,基于多学科分析框架,提出综合研究机翼参数和飞行条件对进场噪声、起降循环期间污染气体排放量、温室气体总排放量、直接运营成本和航时等性能的影响。分析表明,减少襟翼开缝有助于降低噪声,但需要增大机翼面积来弥补气动性能损失;降低巡航高度可以降低温室气体排放量,却伴随着直接运营成本和航时的增加;加大进场坡度可以降低进场噪声和起降循环的排放量。综合经济性和环保性进行多目标优化,获得了两种典型的飞机构型及对应的飞行条件。

关键词: 绿色航空, 机翼外形, 飞行条件, 多目标优化

Abstract: The effects of the wing shape parameters and the flight conditions on the noises during approach, on the emissions during landing and takeoff (LTO) cycle, the total emitted greenhouse gas, the direct operating cost and the endurance were presented. The multiple perspectives of the environmental impact, airline operations and passenger experience were analyzed based on the multidisciplinary analysis framework. The analysis results indicate that the flap with fewer gaps may contribute to the noise reduction; meanwhile, a larger wing area is needed to compensate for the loss of aerodynamic effects. Reducing the cruise altitude may result in a decrease of the global warming impact but the increases of direct operating costs(DOC) and endurance. The steeper approach may reduce both of the noises during approach and the emissions during LTO. Considering economy and environmental impacts, two typical configurations of aircraft with the corresponding flight conditions are achieved after multi-objective optimization.

Key words: green aviation, wing shape, flight condition, multi-objective optimization

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