EXPERIMENTAL RESEARCH OF THE CONFIGURATION OF WING－TIP DRAG REDUCTION FOR LIGHT AIRCRAFT

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Shock protection of penetrator-based instrumentation via a sublimation approach

It is often necessary for space-borne instrumentation to cope with substantial levels of shock acceleration both in the initial launch phase, as well as during entry, descent and landing in the case of planetary exploration. Current plans for a new generation of penetrator-based space missions will subject the associated on-board instrumentation to far greater levels of shock, and ways must therefore be found to either ruggedize or else protect any sensitive components during the impact phase. In this paper, we present an innovative method of shock protection that is suited for use in a number of planetary environments, based upon the temporary encapsulation of said components within a waxy solid which may then be sublimated to return the instrument back to its normal operation. We have tested this method experimentally using micromachined silicon suspensions under applied shock loads of up to 15,000g, and found that these were able to survive without incurring damage. Furthermore, quality factor measurements undertaken on these suspensions indicate that their mechanical performance remains unaffected by the encapsulation and subsequent sublimation process.     

几何和气动参数对多孔板波涡相互作用影响的研究

本文对以涡声相互作用为基础的通气的多孔板共振腔结构的声学性质进行了一些实验研究和分析。着重于声衬的孔径、腔深、孔板厚度对声衬性能的影响。对实验的结果进行了一些分析,给出了厚板通气声衬声抗的一种算法。对吹气与吸气情况下声衬的性质进行了对比。      

Nonlinear modal electromechanical coupling factor for piezoelectric structures containing nonlinearities

Within the linear framework, the Modal Electromechanical Coupling Factor (MEMCF) is an important indicator to quantify the dynamic conversion of mechanical energy and electrical energy of piezoelectric structures. It is also an important tool to guide the piezoelectric damping design of linear structures. Advanced aircraft often fly in maneuvers, and the variable working conditions induce drastic changes in the load level on structures. Geometric and contact nonlinearities of thin-walled structures and joint structures are often activated. To achieve a good vibration reduction effect covering all working conditions, one cannot directly use linear electromechanical coupling theory to instruct the piezoelectric damping design for nonlinear structures. Therefore, this paper defines the Nonlinear Modal Electromechanical Coupling Factor (NMEMCF) and proposes the corresponding numerical method for the first time to quantitatively evaluate the electromechanical coupling capability of nonlinear piezoelectric structures. Three candidate definitions of the NMEMCF are given, including two frequency definitions and one energy definition. The energy definition is the most promising one. It is not only applicable to both conservative and dissipative nonlinear structures but also compatible with the linear MEMCF. In addition, based on the energy formula, the NMEMCF can be obtained by only performing one nonlinear modal analysis in the open-circuit state. The analytical findings and the numerical tool are validated against two piezoelectric structures with different types of nonlinearities. A strong correlation among the NMEMCF, geometric parameters, and energy dissipation is observed. The results confirm that the proposed NMEMCF captures the physics of the electromechanical coupling phenomenon associated with nonlinear piezoelectric structures and can be used as an essential design indicator of piezoelectric damping, especially for variable working conditions.     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

An artificial neural network approach for aerodynamic performance retention in airframe noise reduction design of a 3D swept wing model

With the progress of high-bypass turbofan and the innovation of silencing nacelle in engine noise reduction, airframe noise has now become another important sound source besides the engine noise. Thus, reducing airframe noise makes a great contribution to the overall noise reduction of a civil aircraft. However, reducing airframe noise often leads to aerodynamic perfor-mance loss in the meantime. In this case, an approach based on artificial neural network is intro-duced. An established database serves as a basis and the training sample of a back propagation (BP) artificial neural network, which uses confidence coefficient reasoning method for optimization later on. Then the most satisfactory configuration is selected for validating computations through the trained BP network. On the basis of the artificial neural network approach, an optimization pro-cess of slat cove filler (SCF) for high lift devices (HLD) on the Trap Wing is presented. Aerody-namic performance of both the baseline and optimized configurations is investigated through unsteady detached eddy simulations (DES), and a hybrid method, which combines unsteady DES method with acoustic analogy theory, is employed to validate the noise reduction effect. The numerical results indicate not merely a significant airframe noise reduction effect but also excel-lent aerodynamic performance retention simultaneously.     

暂冲式风洞大开角扩散段性能的实验研究

布置有多层孔板（丝网）的大开角扩散段通过参数的优化设计,可有效缩短暂冲式风洞启动时间,均匀进入稳定段的气流速度,并降低阀后噪声和气流脉动。针对某大型暂冲式风洞大开角扩散段设计关键技术开展专题研究,设计并进行了不同扩散段扩开角角度和中心体分流锥型式的组合实验,从压力损失、出口截面速度分布和降噪特性三个方面进行了对比分析。试验结果表明：试验件45°扩开角＋65°平底锥的压力损失相对最小,而增加导流尾锥的中心分流锥由于底部难以形成稳态的分离涡使得其压力损失明显偏大,其它试验件组合的压力损失值则相接近;各试验件出口截面的速压分布均呈现以中轴线对称分布的双驼峰趋势,且孔板的开孔率偏高时出口剖面速度分布相对更平滑;试验马赫数下的大开角段对气流噪声的消声量约为12～14dB,对频率在2kHz以上的气流噪声具有相对较强的消声能力,同时气流经过设置有多层孔板的大开角扩散段后,气流波动幅值明显降低,气流脉动得到有效地抑制。     

后掠翼三维鼓包串激波控制参数的影响

针对跨声速后掠翼,三维鼓包串作为一种有效的减阻方式具有结构简单、高效及鲁棒性好等优点.利用全局优化算法探索了鼓包设计参数空间的整体特性,并对鼓包长度、三维鼓包展向设计参数对鼓包减阻效果的影响进行了研究,发现鼓包顶点位置和高度对阻力系数最敏感,三维鼓包的展向设计参数则对阻力系数不敏感,而鼓包长度和鼓包相对展长越长越有利于减阻.在此基础上开展了小后掠角自然层流机翼加3种不同类型鼓包串的优化研究,通过优化结果发现,增加优化后的三维鼓包串,可将小后掠角自然层流机翼阻力发散马赫数向后推移,并且鼓包平均长度和控制区越大,效果越好.三维鼓包串具有良好的局部控制特性,可用于局部较强激波的抑制.三维鼓包串对常规后掠翼波阻具有良好的控制效果,同时能够抑制激波诱导的机翼后缘气流分离.      

失效概率矩独立全局灵敏度分析的高效算法

失效概率矩独立全局灵敏度分析对指导可靠性优化至关重要,本文从乘法降维及Edgeworth级数展开的角度提出一种失效概率矩独立全局灵敏度指标分析的高效算法。所提算法通过Edgeworth级数展开将失效概率矩独立全局灵敏度指标的求解转化为输出无条件及条件前四阶整数矩的求解。对于输出的无条件及条件四阶矩的计算,基于乘法降维的思想,本文推导了重复利用计算输出的无条件矩的输入输出样本来计算条件矩以及外层关于输入变量一维积分的计算公式,使得仅需重复利用输出无条件前四阶矩求解产生的积分网格内的数据即可同时求得输出的前四阶条件矩以及外层关于输入变量的一维积分。所提算法大大提高了失效概率矩独立全局灵敏度的分析效率。航空发动机涡轮盘以及汽车前轴的分析结果验证了所提算法的高效性及准确性。