Experimental investigation on the plasma morphology of ablative pulsed plasma thruster with tongue-shaped and flared electrodes

Ablative pulsed plasma thrusters(APPTs) are considered as an attractive propulsion option for station-keeping and drag makeup purposes for mass-and power-limited satellites. In order to understand the physical mechanism of APPTs, high-speed camera and optical emission spectroscopy are utilized to investigate the plasma characteristics including the spatial distribution and composition between the electrodes. The plume images and spectra at different times and positions are experimentally recorded, and the spatial distribution, composition, and trajectory of plasmas can be concluded through analyzing them. With the increase of the distance from the ablation surface, two clusters of plasmas near the anode and cathode meet downstream,and the species and density of plasmas tend to be uniform.     

基于S变换的高速列车小幅蛇行识别方法

针对现有的高速列车监测方法没有考虑高速列车振动信号的非平稳特性,从而使得列车出现蛇形失稳现象的问题，提出一种采用S变换的方法对高速列车转向架信号进行处理，进而提取高速列车运行特征。采用最小二乘支持向量机（LS-SVM）对特征进行训练和识别，结果证明，基于S变换的特征提取方法的识别准确率达到了100%，优于基于小波变换的特征提取方法，从而可以及时预测高速列车的运行状态，保障列车的运行安全。     

Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

基于点云中心的激光雷达与相机联合标定方法研究

针对激光雷达与相机联合使用遇到的点云稀疏、相机受环境光照影响失真等问题,提出一种基于点云中心的激光雷达与相机自动配准方法,避免了传统联合标定需要手动选择特征点以及连续采集多帧等问题。该方法在对点云与图像预处理后,利用平面法向量的一致性实现多标定板点云自动分割,提取标定板在激光坐标系和相机坐标下的点云;然后通过点云聚集迭代求解中心点,实现两个传感器标定板对应点云中心的粗配准;最终利用迭代最近点算法进行精配准,获得标定参数,完成联合标定。实测表明,在激光雷达误差±3 cm范围内,点云正确投影比例达到97.93%,可以有效获取高精度联合标定参数,满足空间环境对激光雷达和相机数据融合的要求。     

智能车弯道行进算法的研究与实现

智能车在弯道处快速、平稳、准确的行进是循迹行进的关键问题。基于此提出了一种基于CCD摄像头进行路径识别的智能车分阶段全闭环控制方法,智能车在行进中依据导航线的曲率进行直道和弯道的辨识,并在直道和弯道部分采用不同的控制方法,实现弯道提前减速,直道加速通过,在直道与弯道的行进中均采用全闭环控制。视觉系统通过CCD摄像头提取路径中的导航线并计算导航线曲率以及智能车相对于导航线的平行偏移值和航向角偏差;主控系统依据导航线曲率选取控制策略,根据平行偏移值和航向角偏差计算转向角度与行进速度并通过控制执行机构完成转向与速度调节,控制结果通过视觉系统与测速装置反馈给主控系统,实现全闭环控制。以第十五届全国大学生机器人大赛为背景搭建实验系统,经过多次的调试与实验,智能车在赛道上最大运行速度可达3.5 m/s,全程平均速度约为2.8 m/s,实际测得最大偏离距离为35 mm,在允许误差范围之内。通过实际的实验系统,验证了智能车分阶段全闭环控制算法的可行性。     

Wear and Tribological Performance of Different Ceramic Tools in Dry High Speed Machining of Ni-Co-Cr Precipitation Hardenable Aerospace Superalloy

Tool wear is an important machinability criterion. To reduce total machining costs, this study demonstrates the wear and tribological performance of four ceramic tools in dry high-speed turning of Ni-Co-Cr precipitation hardenable superalloy (Inconel 100). Wear of the tool materials and the structural and phase transformations at the tool–chip interface were investigated. Results obtained reveal that SiAlON ceramic outperformed other ceramic tool materials at different cutting speeds due to the formation of a large amount of mullite tribofilms on the tool face, which serve as a thermal barrier layer. Alumina ceramic with the addition of ZrO₂ can be recommended for machining Inconel 100 at speeds above 150 m/min due to its ability to form thermal barrier ZrO₂ tribofilms, which decrease the coefficient of friction at the tool–chip interface. Mixed alumina and an alumina matrix reinforced with SiC_w were found to be unsuitable for machining age-hardened Inconel 100 superalloy.     

高铁土建工程质量安全治理探讨

为进一步提升高铁土建工程源头质量安全治理能力,本文通过对高铁土建工程质量安全治理现状和源头质量隐患进行系统梳理,按照从宏观到微观、从前到后的原则依次从标准规范、工程建设及政府监管层面展开分析,针对性提出了标准规范、质量管控、人员素质、技术保障、信用体系五方面的治理措施。文中创造性提出从标准规范层面和质量安全信用体系构建的治理建议。     

接触器触头系统振动机理分析及算法优化

为了解决合闸过程中动、静触头接触引起的振动弹跳问题.本文建立了接触系统的二自由度运动微分方程,并利用遗传算法对交流接触器吸合过程进行优化,同时通过高速摄影实验对接触弹跳的全过程进行了观察和分析.结果表明:理论与实验结果高度一致,铁心在触头分离前发生碰撞,进一步加剧触头弹跳;铁芯弹跳再次碰撞时,触头的弹跳不受影响;在接触器运行过程中,动铁芯的运动会引起系统轻微振动;采用遗传算法优化的接触器触头弹跳时间和最大振幅均减小.研究结果为进一步控制和减小接触弹跳提供了理论依据.     

Electric characteristic and cavitation bubble dynamics using underwater pulsed discharge

Underwater pulsed discharge is widely applied in medicine, machining, and material modification. The induced cavitation bubble and subsequent cavitation collapse are considered the major motivations behind these applications. This paper presents an underwater pulsed discharge system. The experimental setup is established to induce and investigate the cavitation bubble assisted with a high-speed camera. Three aspects, including the characteristic of the discharge with different applied voltages and conductivities, the evolution of the cavitation bubble profile, and the energy efficiency of cavitation bubble inducing, are investigated, respectively. Especially, the mechanism of pre-discharge time delay in the low field intensity case is explained using the Joule heat effect. The results show the validity of the underwater pulsed discharger and experimental setup. The present underwater pulsed discharger is proved to be a simple, portable, and easy-to-implement device for the investigation of cavitation bubble dynamics.     

卷积神经网络用于关节角度识别与姿势评估

为了快速准确地输出各种工作姿势风险评估结果，提出采用Kinect v2与卷积神经网络识别人体各关节角度，并输出标准姿势风险的评估得分。首先使用亚像素角点提取的棋盘标定算法标定Kinect两个摄像头，其次使用改进后的双边滤波对深度图像去噪，使用卷积神经网络识别人体关节二维位置，结合深度信息获取实际三维坐标并计算人体关节角度，最后输出姿势风险评估得分。通过两种实验分别验证了提出的Kinect角度识别与姿势评估的准确性，表明该方法关节角度识别与姿势风险评估的准确率均较高，是一种低成本、高可靠性的姿势评价方法，具有一定的科学意义和工程应用价值。