Optimization design of airfoils under atmospheric icing conditions for UAV

Natural ice accretion on the lifting surface of an aircraft is detrimental to its aerodynamic performance, as it changes the effective streamlined body. The main focus of this work considers the optimization design of airfoils under atmospheric icing conditions for the Unmanned Aerial Vehicle(UAV). The ice formation process is simulated by the Eulerian approach and the three-dimensional Myers model. A three-equation turbulence model is implemented to accurately predict the stall performance of t...     

Dynamic neighborhood genetic learning particle swarm optimization for high-power-density electric propulsion motor

To maximize the power density of the electric propulsion motor in aerospace application, this paper proposes a novel Dynamic Neighborhood Genetic Learning Particle Swarm Optimization (DNGL-PSO) for the motor design, which can deal with the insufficient population diversity and non-global optimal solution issues. The DNGL-PSO framework is composed of the dynamic neighborhood module and the particle update module. To improve the population diversity, the dynamic neighborhood strategy is first proposed, which combines the local neighborhood exemplar generation mechanism and the shuffling mechanism. The local neighborhood exemplar generation mechanism enlarges the search range of the algorithm in the solution space, thus obtaining high-quality exemplars. Meanwhile, when the global optimal solution cannot update its fitness value, the shuffling mechanism module is triggered to dynamically change the local neighborhood members. The roulette wheel selection operator is introduced into the shuffling mechanism to ensure that particles with larger fitness value are selected with a higher probability and remain in the local neighborhood. Then, the global learning based particle update approach is proposed, which can achieve a good balance between the expansion of the search range in the early stage and the acceleration of local convergence in the later stage. Finally, the optimization design of the electric propulsion motor is conducted to verify the effectiveness of the proposed DNGL-PSO. The simulation results show that the proposed DNGL-PSO has excellent adaptability, optimization efficiency and global optimization capability, while the optimized electric propulsion motor has a high power density of 5.207 kW/kg with the efficiency of 96.12%.     

十公斤级固定翼无人机全碳纤维机翼设计与应力分析

根据轻型固定翼无人机性能要求,设计了一款最大起飞结构质量为10 kg、质量轻、强度高、刚度高的固定翼无人机全碳纤维机翼;基于气动性能分析和结构几何设计,建立了机翼结构的三维模型;采用"封闭矩形截面缘条"盒式梁结构,增大了机翼的扭转刚度;建立了机翼结构有限元模型,采用最大应力强度准则,对机翼结构的强度、刚度、稳定性进行了校核。对蒙皮碳纤维铺层结构进行了优化。结果表明,结构应力集中区域位于翼梁根部螺栓孔区域,该区域应力水平决定了结构的初始强度;机翼大梁上缘条根部和附近的蒙皮易发生屈曲;优化后蒙皮减重121.6 g,占机翼初始结构质量的11.94%。     

An intelligent approach for flight risk prediction under icing conditions

Flight risk prediction is significant in improving the flight crew’s situational awareness because it allows them to adopt appropriate operation strategies to prevent risk expansion caused by abnormal conditions, especially aircraft icing conditions. The flight risk space representing the nonlinear mapping relations between risk degree and the three-dimensional commanded vector(commanded airspeed, commanded bank angle, and commanded vertical velocity) is developed to provide the crew with practi...     

Optimization of cooling structures in gas turbines:A review

Attempts for higher output power and thermal efficiency of gas turbines make the inlet temperature of turbine to be far beyond the material melting temperature. Therefore, to protect the airfoil in gas turbine from hot gas and eventually prolong the lifetime of the blade, internal and film cooling structures with better thermal performance and cooling effectiveness are urgently needed.However, the traditional way of proceeding involves numerous simulations, additional experiments,and separate tr...     

Numerical optimization of transonic natural laminar flow nacelles

Natural laminar flow nacelle is a promising technology for drag reduction. In this paper,an optimization platform is established for the design of transonic axisymmetric and threedimensional natural laminar flow nacelles for large civil aircraft. The platform adopts the class/shape transformation method for geometric parameterization, a four-equation transition model for transition prediction, and the differential evolution algorithm combined with the radial basis function surrogate model as the...     

双层梯度蜂窝吸波结构优化设计

设计了一种带蒙皮和金属底板的双层梯度蜂窝吸波结构，并利用Hashin-Shtrikman（HS）模型获得其等效电磁参数。在此基础上，以反射率低于-10dB带宽最大为优化目标，利用保收敛粒子群优化算法（Guarantee Convergence Particle Swarm Optimization，GCPSO）对四种不同排序方案的双层梯度蜂窝吸波结构进行优化设计。结果表明，入射电磁波的角度和极化方式以及吸波材料的选择、排序和厚度对双层梯度蜂窝结构的吸波性能有很大的影响；不同入射角度下TM极化时的吸波特性明显优于TE极化，在入射角为60^°时最为明显；对比四种方案优化结果显示，case 1方案由于选用损耗角较小的吸波材料充当透波层，分布于蒙皮下面，而选用损耗角较大的吸波材料作吸收层，并置于吸波结构底层，因而具有最大的优化目标函数，吸波效果最佳，且蜂窝高度仅为具有相同吸波效果的case 3方案的49.44%。因此，选择case 1方案作为本文最终优化结果。     

某型飞机作动筒管接头结构分析及优化改进

针对某型飞机主起落架收放作动筒管接头结构特点,本文从结构功能、连接强度方面对管接头进行分析,并提出了作动筒管接头配合结构优化改进措施, 改进后的管接头结构能满足预期使用要求。     

高体积分数SiCp/Al激光诱导氧化辅助铣削研究

为了解决高体积分数的SiC_p/Al复合材料在常规切削加工中存在切削力大、刀具磨损快、表面完整性差等问题。本文针对高体积分数SiC_p/Al材料开展激光诱导氧化辅助铣削技术研究，通过激光辐照铣削区域形成易于去除的疏松氧化层提高切削性能，同时开展氧化层调控策略及激光诱导氧化辅助下的铣削参数优化工艺研究，研究不同激光能量密度、辅助气体对氧化层质量的影响及铣削参数优化。结果表明随激光能量密度的增大热影响区宽度和烧蚀沟槽深度随之增加，在氧气辅助下易形成疏松且易于去除氧化层。选取较高的激光能量密度可获得较好的氧化效果，而使用PCD金刚石铣刀，主轴转速为10 000 r/min，在每齿进给量为7.5 μm /s可获得最佳表面质量。     

航天器材料应用验证特点及其指标体系设计与优化

“材料应用验证”是为适应复杂工程研制任务而建立的一种材料多参数指标在特定服役需求下应用适用度评估的综合评价方法，也是通过一系列的试验、测试与表征手段获得材料各项性能数据、曲线、图谱，并通过综合分析确定材料应用可行性的分析方法。文章从航天器发展对高性能、多样化材料快速应用转化需求出发，阐释材料应用验证任务具有指标体系的综合性、通用性、短周期、低成本以及闭环式验证特点，进而提出了覆盖性、关重性、精准性、独立性、经济性的指标体系设计原则，以及材料应用验证的三层级五要素即材料批次稳定性、工艺适用性、环境适应性、服役安全性及组件健壮性指标体系设计及优化方法。