灯罩形状件成形工艺分析及模具的数字化设计

对灯罩形状件进行了成形工艺分析并对其模具实现了数字化设计。通过研究零件的冲压工艺,制定了零件的成形方案。对传统落料与弯曲成形模具进行了结构性修改以适应本零件的落料和压筋工序一次成型的特点。利用CATIA软件建立了模具的三维实体模型,对模具进行了数字化预装配,并用软件检查,排除模具内部干涉,从而提高了模具设计的效率和精度。     

空间烟云的扩散模型

探讨空间烟云用于外层空间目标红外遮蔽隐身干扰,通过分析烟幕扩散体系的真空及微重力效应,基于扩散定律建立了空间烟云的纯扩散模型.研究结果表明,空间烟云施放后其质量浓度在任意时刻的等值面均为一球面,并且随着球半径的增加在空间连续减少;同时结合辐射在烟云中的传输特性研究,获得了空间烟云有效遮蔽面积及遮蔽时间的估算方法.     

现代巡航导弹突防中的雷达极化技术

现代巡航导弹普遍采用雷达导引头进行末制导,雷达导引头在保证现代巡航导弹打击精度方面发挥着重要作用.在复杂电磁干扰环境条件下,雷达导引头的抗干扰能力和战场适应能力,在很大程度上决定着现代巡航导弹的杀伤力和战斗力.提高雷达导引头的抗干扰能力成为各军事强国提高精导武器作战效能的主要发展方向之一.从现代巡航导弹适应复杂战场的电磁干扰环境入手,指出雷达极化技术是提高巡航导弹的电子突防能力的重要技术手段.     

泵压式上面级发动机性能精度干扰因素研究

性能精度是液体火箭发动机的一项重要指标,对于上面级发动机性能精度尤其重要.以某型泵压式上面级发动机为研究对象,利用影响分析树的方法识别了发动机生产、测试、性能调整过程中影响性能精度的干扰因素;针对所识别的干扰因素,通过仿真计算,得到了其偏差对发动机推力和混合比的影响.根据统计学原理,推导得到多项干扰因素影响概率的计算模型,并利用小子样样本对计算模型和程序的正确性进行了验证.利用该概率计算模型,根据置信水平要求,确定了多项干扰因素对发动机性能的极限偏差影响.根据发动机性能精度要求,分解得到了单个干扰因素的控制目标.     

待发段火箭倾倒实时监测技术研究与实现

倾倒故障作为火箭待发段的一种故障形式，严重地威胁着航天员的安全。待发段倾倒应急救生的关键在于及时获取准确可靠的箭体姿态与倾倒信息，为指挥员实时提供可靠的逃逸判决依据。本文从应用角度，综合光学与计算机图像处理技术，提出了一种简单而实用的火箭倾倒监测技术，并简要介绍了应用此技术实现的系统主要功能结构与性能特点。本文介绍的技术也可应用于其他需要定位与姿态监视测量的领域。     

分布式光纤测温系统及高速数据采集与处理

分布式光纤测温系统是一种用于实时测量空间温度场分布的光纤传感系统 ,在系统中 ,光纤本身既是传输媒体也是传感媒体。讨论了系统的工作原理、设计思想、系统构成、高速数据采集以及瞬态采样平均技术 ,该系统已应用于石油测井。     

高超声速轴对称模型密度场的激光全息干涉测量

激光全息干涉技术在 2 0 0m自由飞弹道靶的初步应用中 ,对高速和高超声速的轴对称模型周围气流密度场定量测量进行了初步探索。给出了 M =2 .2的弹头和M =2 .45、Φ =2 0mm的球标模以及M =9.35的钝锥模型的全息干涉图和处理结果 ,同时与钝锥模型的理论数值计算结果进行了比较 ,首次在弹道靶上获得了流场密度的定量结果。     

Geometric calibration of Colour and Stereo Surface Imaging System of ESA’s Trace Gas Orbiter

There are many geometric calibration methods for “standard” cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex off-axis optics. Moreover, specialized calibration methods for the telescopes are scarce in literature. We describe the calibration method that we developed for the Colour and Stereo Surface Imaging System (CaSSIS) telescope, on board of the ExoMars Trace Gas Orbiter (TGO). Although our method is described in the context of CaSSIS, with camera-specific experiments, it is general and can be applied to other telescopes. We further encourage re-use of the proposed method by making our calibration code and data available on-line.     

The adjusted optical properties for Galileo/BeiDou-2/QZS-1 satellites and initial results on BeiDou-3e and QZS-2 satellites

Solar Radiation Pressure (SRP) is the dominant non-gravitational perturbation for GNSS (Global Navigation Satellite System) satellites. In the absence of precise surface models, the Empirical CODE Orbit Models (ECOM, ECOM2) are widely used in GNSS satellite orbit determination. Based on previous studies, the use of an a priori box-wing model enhances the ECOM model, especially if the spacecraft is a stretched body satellite. However, so far not all the GNSS system providers have published their metadata. To ensure a precise use of the a priori box-wing model, we estimate the optical parameters of all the Galileo, BeiDou-2, and QZS-1 (Quasi Zenith Satellite System) satellites based on the physical processes from SRP to acceleration. Validation using orbit prediction proves that the adjusted parameters of Galileo and QZS-1 satellites exhibit almost the same performance as the corresponding published and “best guess” values. Whereas, the estimated parameters of BeiDou-2 satellites demonstrate an improvement of more than 60% over the initial “guess” values. The resulting optical parameters of all the satellites are introduced into an a priori box-wing model, which is jointly used with ECOM and ECOM2 model in the orbit determination. Results show that the pure ECOM2 model exhibits better performance than the pure ECOM model for Galileo, BeiDou-2 GEO and QZS-1 orbits. Combined with the a priori box-wing model the ECOM model (ECOM+BW) results in the best Galileo, BeiDou-2 GEO and QZS-1 orbits. The standard deviation (STD) of satellite laser ranging residuals reduce by about 20% and 5% with respect to the pure ECOM2 model for Galileo and BeiDou-2 GEO orbits, while the reductions are about 40% and 60% for QZS-1 orbits in yaw-steering and orbit-normal mode respectively. BeiDou-2 IGSO and MEO satellite orbits do not benefit much from the a priori box-wing model. In summary, we suggest setting up a unified SRP model of ECOM+BW for Galileo, QZS-1, and BeiDou-2 orbits based on the adjusted metadata. In addition, we estimate the optical parameters of BeiDou-3e and QZS-2 satellites using a limited number of tracking stations. Results regarding the unified SRP model indicate the same advantages, the STD of satellite laser ranging residuals reduces by about 30% and 20% for QZS-2 and BeiDou-3e orbits respectively over orbit products without a priori model. The estimation procedure is effective and easy to apply to the new emerging satellites in the future.     

Bayesian network-based extraction of lunar impact craters from optical images and DEM data

Impact craters are among the most noticeable geomorphological features on the planetary surface and yield significant information about terrain evolution and the history of the solar system. Thus, the recognition of impact craters is an important branch of modern planetary studies. Aiming at addressing problems associated with the insufficient and inaccurate detection of lunar impact craters, a decision fusion method within the Bayesian network (BN) framework is developed in this paper to handle multi-source information from both optical images and associated digital elevation model (DEM) data. First, we implement the edge-based method for efficiently searching crater candidates which are the image patches that can potentially contain impact craters. Secondly, the multi-source representations of an impact crater derived from both optical images and DEM data are proposed and constructed to quantitatively describe the two-dimensional (2D) and three-dimensional (3D) morphology, consisting of Histogram of Oriented Gradient (HOG), Histogram of Multi-scale Slope (HMS) and Histogram of Multi-scale Aspect (HMA). Finally, a BN-based framework integrates the multi-source representations of impact craters, which can provide reductant and complementary information, for distinguishing craters from non-craters. To evaluate the effectiveness and robustness of the proposed method, experiments were conducted on three lunar scenes using both orthoimages from the Lunar Reconnaissance Orbiter (LRO) and DEM data acquired by the Lunar Orbiter Laser Altimeter (LOLA). Experimental results demonstrate that integrating optical images with DEM data significantly decreases the number of false positives compared with using optical images alone, with F₁-score of 84.8% on average. Moreover, compared with other existing fusion methods, our proposed method was quite advantageous especially for the detection of small-scale craters with diameters less than 1000 m.