A progressive approach to predict shot peening process parameters for forming integral panel of Al7050-T7451

In this paper, a progressive approach to predict the multiple shot peening process parameters for complex integral panel is proposed. Firstly, the invariable parameters in the forming process including shot size, mass flow, peening distance and peening angle are determined according to the empirical and machine type. Then, the optimal value of air pressure for the whole shot peening is selected by the experimental data. Finally, the feeding speed for every shot peening path is predicted by regression equation. The integral panel part with thickness from 2 mm to 5 mm and curvature radius from 3200 mm to 16000 mm is taken as a research object, and four experiments are conducted. In order to design specimens for acquiring the forming data, one experiment is conducted to compare the curvature radius of the plate and stringer-structural specimens, which were peened along the middle of the two stringers. The most striking finding of this experiment is that the outer shape error range is below 3.9%, so the plate specimens can be used in predicting feeding speed of the integral panel. The second experiment is performed and results show that when the coverage reaches the limit of 80%, the minimum feeding speed is 50 mm/s. By this feeding speed, the forming curvature radius of the specimens with different thickness from the third experiment is measured and compared with the research object, and the optimal air pressure is 0.15 MPa. Then, the plate specimens with thickness from 2 mm to 5 mm are peened in the fourth experiment, and the measured curvature radius data are used to calculate the feeding speed of different shot peening path by regressive analysis method. The algorithm is validated by forming a test part and the average deviation is 0.496 mm. It is shown that the approach can realize the forming of the integral panel precisely.     

基于双滤波器的高精度目标跟踪估计方法

针对连续推力的合作航天器，采用双重无迹卡尔曼滤波(DUKF)算法估计其状态和加速度。通过状态滤波器和参数滤波器的配合，提升滤波精度，完成运动状态和参数的估计，从而实现合作目标的运动轨迹跟踪。与合作航天器相比，非合作航天器存在大小未知、发生时刻未知的机动，无法获得加速度，且信息获取和运动状态的估计难度大。针对非合作航天器，基于简化的相对运动方程，结合天基平台获得目标的观测信息，采用两个扩展卡尔曼滤波(EKF)及基于半正焦弦的机动检测策略实现多未知脉冲机动的运动状态的估计。仿真结果表明：相比于无迹卡尔曼滤波（UKF），DUKF在对合作航天器的状态和加速度估计方面具有更快的收敛速度和更高的滤波精度；对于存在未知机动的非合作航天器，通过对比验证机动检测策略与滤波器切换策略相结合的方法的有效性，该方法能够检测到多次机动并且减少误判。     

导流锥结构参数对燃气弹射筒内压力冲击平滑效果影响研究

针对导流锥结构参数对内弹道流场耦合影响问题，基于动态分层动网格技术，构建了含导弹运动和二次燃烧的内弹道数值模型，并验证了模型可靠性。解耦分析了导流锥半径、高度及冲击高度对内弹道流场特性和载荷的影响。结果表明：导流锥的结构直接决定燃气飞溅现象的产生和流场结构的紊乱程度，导流锥的半径、高度和冲击高度的改变会对燃气反射点的位置、二次燃烧的区域以及剧烈程度产生影响;结构优化后的导流锥，较大程度地缓解了冲击现象，获得了较好的平滑效果，筒底压力较实验装置降低了24.5%。     

上升段飞行器目标的视频图像跟踪

粒子滤波是一种基于贝叶斯估计理论和蒙特卡罗理论的实时目标跟踪方法，具有较为灵活的并行化跟踪方式，能够较好地维持跟踪目标的假设状态，具有较好的跟踪效果和鲁棒性。上升段飞行器目标飞行视频图像跟踪是火箭等目标飞行监控的重要阶段，但现阶段对飞行器上升段的视频图像跟踪主要依靠人工手动操作云台控制器，实现视频图像中的飞行器跟踪，跟踪图像存在跟踪滞后、画面抖动等现象，跟踪效果受人为因素影响较大。本文提出一种基于粒子滤波方法的上升段飞行器目标视频图像跟踪方法，建立飞行器目标粒子滤波跟踪模型实现对飞行器目标的识别和跟踪，在识别和跟踪的基础上建立云台控制模型，通过对云台的智能控制获得飞行器上升段的高质量图像。采用火箭发射的视频图像作为模型验证的实验数据，检验飞行器目标的跟踪效果。     

航空电子产品电磁环境效应模块化设计方法

对高强度辐射场（HIRF）环境特点与干扰类型进行分析，采用理论计算、计算机仿真技术（CST）的仿真分析及实测等方法分别对某型飞机航空电子系统综合显示单元的外部强电磁辐射场孔缝耦合、场线耦合及芯片前端电路影响关键芯片的相关规律进行了研究，给出了相关设计建议。结果表明，可通过分析孔缝、场线耦合获得进入关键芯片前端电路的电磁干扰能量，再结合关键芯片前端电路网络对干扰的插入损耗分析，获得关键芯片在外部强场激励下的感应电压。     

污水处理装置在冶金行业中的应用

对污水处理装置的技术参数、技术要求及设计方案的选择、工作原理做了进一步的阐述。对工业循环冷却水的处理有实际指导意义。     

夹杂物特征参数对拉伸载荷下超高强度钢裂纹萌生与扩展的影响

采用扫描电镜原位观测的方法,动态跟踪观察拉伸载荷作用下航空发动机轴类超高强度钢MA250中不同形状和尺寸的TiN夹杂导致裂纹萌生与扩展的微观行为,从微观角度分析拉伸载荷作用下夹杂物的几何长轴与外加载荷方向成不同角度时裂纹的萌生方式.同时讨论TiN夹杂中第一条裂纹萌生所需的应力与夹杂物面积的关系.结果表明,夹杂物面积越大,第一条裂纹萌生所需的应力越小.     

基于小波变换的图像低通去噪

提出了一种利用小波变换的多分辨率特性对图像进行低通去噪的方法,系统的阐述了其基本原理和核心算法,并对加噪后的图像实现了低通去噪处理。     

Ionospheric behavior of the F2 peak parameters foF2 and hmF2 at Hainan and comparisons with IRI model predictions

Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with hourly time interval resolution for the diurnal variation, obtained with DPS-4 digisonde observations at Hainan (19.4°N, 109.0°E) are used to study the low latitude ionospheric variation behavior. The observational results are compared with the International Reference Ionospheric Model (IRI) predictions. The time period coverage of the data used for the present study is from March 2002 to February 2005. Our present study showed that: (1) In general, IRI predictions using CCIR and URSI coefficients follow well the diurnal and seasonal variation patterns of the experimental values of foF2. However, CCIR foF2 and URSI foF2 IRI predictions systematically underestimate the observed results during most time period of the day, with the percentage difference ΔfoF2 (%) values changing between about −5% and −25%, whereas for a few hours around pre-sunrise, the IRI predictions generally overestimate the observational ones with ΔfoF2 (%) sometimes reaching as large as ∼30%. The agreement between the IRI results and the observational ones is better for the year 2002 than for the other years. The best agreement between the IRI results and the observational ones is obtained in summer when using URSI coefficients, with the seasonal average values of ΔfoF2 (%) being within the limits of ±10%. (2) In general, the IRI predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the observational results. However, when using the measured M(3000)F2 as input, the diurnal variation pattern of hmF2 given by IRI2001 has a much better agreement with the observational one with the detailed fine structures including the pre-sunrise and post-sunset peaks reproduced reasonably well. The agreement between the IRI predicted hmF2 values using CCIR M(30,000)F2 option and the observational ones is worst for the afternoon to post-midnight hours for the high solar activity year 2002. During daytime hours the agreement between the hmF2 values obtained with CCIR M(30,000)F2 option and the observational ones is best for summer season. The discrepancy between the observational hmF2 and that obtained with CCIR M(30,000)F2 option stem from the CCIR M(3000)F2 model, which does not produce the small scale structures observed in the measured M(3000)F2.     

卡尔曼滤波器UD分解滤波算法的改进

简介Kalman滤波的UD协方差分解算法,针对工程应用中出现的由于UD协方差分解算法本身的局限性 而产生UD因子分解失真问题,提出一种简单有效的解决方法。从而有效地克服UD算法本身的局限性而造成的UD因 子分解失真,改善滤波效果。