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.     

一种语音信号欠定盲分离的新方法

文章提出了一种语音信号欠定盲分离的新方法,引入了一种伪提取矢量的概念,并通过在信号采样点处选取对应的伪提取矢量,以恢复取值占优的源信号采样点的值,来实现欠定盲源分离。通过将该方法与传统的基于线性规划的欠定盲源分离方法分别仿真表明:文章所提出方法由于在信号的各采样点处无需优化,因此大大提高了信号分离的速度,语音信号的分离速度比基于线性规划的方法快数倍。     

Experimental investigation and correlation development of jet impingement heat transfer with two rows of aligned jet holes on an internal surface of a wing leading edge

Extensive experimental studies on the heat transfer characteristics of two rows of aligned jet holes impinging on a concave surface in a wing leading edge were conducted, where50000 Rej 90000, 1.74 H/d 27.5, 66° a 90°, and 13.2 r/d 42.03. The finding was that the heat transfer performance at the jet-impingement stagnation point with two rows of aligned jet holes was the same as that with a single row of jet holes or the middle row of three-row configurations when the circumferential angle of the two jet holes was larger than 30°. The attenuation coefficient distribution of the jet impingement heat transfer in the chordwise direction was so complicated that two zones were divided for a better analysis. It indicated that: the attenuation coefficient curve in the jet impingement zone exhibited an approximate upside-down bell shape with double peaks and a single valley; the attenuation coefficient curve in the non-jet impingement zone was like a half-bell shape, which was similar to that with three rows of aligned jet holes; the factors,including Rej, H/d and r/d, affected the attenuation coefficient value at the valley significantly.When r/d was increased from 30.75 to 42.03, the attenuation rates of attenuation coefficient increased only by 1.8%. Consequently, experimental data-based correlation equations of the Nusselt number for the heat transfer at the jet-impingement stagnation point and the distributionof the attenuation coefficient in the chordwise direction were acquired, which play an important role in designing the wing leading edge anti-icing system with two rows of aligned jet holes.     

基于莫尔条纹测量法设计的船体变形测量系统

介绍了一种基于莫尔条纹测量法设计的船体变形测量系统,分析了测量精度,并通过模拟实验证明了其可行性。     

精益研发VS精益生产

雨疏风骤之后,是海棠依旧,还是绿肥红瘦?词人李清照关心风雨之后的海棠时问了这个问题。当关注信息化时代的精益策略时,我不禁也想问这个问题。丰田生产模式1990年被美国麻省理工学院的教授总结为精益生     

Excel在真空计量中的应用

在真空计量领域中，Ｅｘｃｅｌ电子表格软件得到了广泛的应用。本文举例说明了Ｅｘｃｅｌ的数据计算，统计分析，回归分析，宏、ＯＬＥ和ＤＤＥ功能。     

多功能信号发生器的设计与制作

仪器由AT89C55单片机进行控制,通过键盘、LCD显示模块进行人机对话,完成波形选择、频段选择,频率、幅度输出控制。由MAX038产生正弦波、方波、三角波,其波形选择由单片机进行控制;频段选择由五档组成,可通过旋扭开关完成;频率由单片机输出数据经D/A转换后控制MAX038;幅度由单片机输出数据经D/A转换后改变放大器负反馈深度来实现输出信号幅度的变化。     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.     

基于高效数值方法的一种高超声速飞行器外形气动力/热综合优化设计研究

基于所发展的高效气动力/热快速预测方法,建立了适用于高超声速飞行器的综合考虑气动力与气动热特性的外形优化设计技术,并在一种高超声速飞行器外形设计中应用,通过优化设计改变了初始外形纵向静不稳定特性,优化后外形实现了纵向静稳定、大攻角自配平和非驻点表面最大热流下降的设计目标。所发展的方法为适应气动外形快速选型设计需求提供了有效的途径。     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.