基于有限元方法的并联机床模态分析

并联机床的模态分析有着重要的意义。本文针对3—HSS型并联机床,利用大型有限元软件ANSYS,对此并联机床进行了模态分析,分别获得了该机床的低阶固有频率及其对应的振型图,通过振动动画,分析了六阶模态的振动规律,找到了机床的薄弱环节,为机床的结构设计和动力学分析提供了依据。     

夹具质量对标准测力仪的影响

分析了用试验机进行力学性能检定过程中，夹具的质量对标准测力仪造成的影响，并通过分析原因，给出消除或减小这种影响的方法。     

一种激光长刻机的工作原理

介绍了一种静态激光长刻机的工作原理,并介绍了该光刻方法的关键技术和工艺.     

Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia

Enhancing the dust storm detection is a key part for the environmental protection, human healthy and economic development. The goal of this paper is to propose a new Support Vector Machine (SVM)-based method to automatically detect dust storms using remote sensing data. Existing methods dealing with this problem are usually threshold-based that are of great complexity and uncertainty. In this paper we propose a simple and reliable method combining SVM with MODIS L1 data and explore the optimal band combinations used as the feature vectors of SVM. The developed method was evaluated by MODIS and OMI data qualitatively and quantitatively on three study sites located in the Arabian Desert, Gobi Desert and Taklimakan Desert, and it was also compared to three other traditional methods based on their accuracy, complexity, reliability and sensitivity to thresholds. The detection results demonstrated that the combination of (Band7 − Band3)/(Band7 + Band3) ((B7 − B3)/(B7 + B3)), Band20 − Band31 (B20 − B31), and Band31/Band32 (B31/B32) can detect the dust storms more precisely than other individual bands or their combination. The comparison among those cases indicated that the proposed automatic method exhibited an advantage of minimizing the uncertainty and complexity, which were the limits of defining thresholds based on the threshold-based methods. The conclusions can provide references for studies that focus on statistical-based dust storm detection.     

复杂通道类零件五轴加工刀轴规划

针对复杂通道类零件的五轴数控加工,提出一种控制刀轴稳定变化的刀轴规划方法。首先,通过对刀轴可行空间的均匀离散,建立一种高效求解刀轴可行空间精细边界的方法;然后,依据刀轴矢量规划准则,求解满足机床角加速度约束的可行刀轴序列集合,并提出一种切削行内旋转坐标线性变化的刀轴矢量规划方法;最后,通过建立刀轴变化和残留高度综合评价指标,得到优化的刀轴矢量,并与典型的商用软件进行了实验对比验证。结果表明,使用本文提出的刀轴规划方法得到的切削行刀位轨迹旋转坐标变化均匀,旋转轴角加速度最大值降低到商用软件的10%以下,残留高度平均值降低了22%,改善了切削过程的稳定性,提高了加工表面质量。     

Z-pin自动植入数控系统研制及性能研究

为实现Z-pin的数控自动植入,以可编程多轴控制器PMAC作为运动控制的核心、附卡控制辅助开关量,设计了基于开放式数控系统的X-cor芯材成型专用CNC硬件体系。试制了多种规格的X-cor夹层结构试样,分别研究了Pin直径、Pin植入角以及Pin分布密度等参数对X-cor夹层结构压缩性能、剪切性能的影响。结果表明,Pin可以大幅度提高X-cor夹层结构的压缩性能,同时提高了断裂韧性。     

The future role of relay satellites for orbital telerobotics

Orbital robotics focuses on a variety of applications, as e.g. inspection and repair activities, spacecraft construction or orbit corrections. On-Orbit Servicing (OOS) activities have to be closely monitored by operators on ground. A direct contact to the spacecraft in Low Earth Orbit (LEO) is limiting the operational time of the robotic application. Therefore, geostationary satellites are desirable to relay the OOS signals and extend the servicing time window. A geostationary satellite in the communication chain not only introduces additional boundary conditions to the mission but also increases the time delay in the system. The latter is not very critical if the servicer satellite is operating autonomously. However, if the servicer is operating in a supervised control regime with a human in the loop, the increased time delay will have an impact on the operator’s task performance.     

影响聚四氟乙烯材料加工表面粗糙度因素的研究

在现代航空发动机的产品中,保护圈、密封件等零件广泛使用聚四氟乙烯材料制造.在加工中多采用车削加工,粗糙度一般为Ra1.6,本文通过选用不同车床、刀具、加工参数的方法,提高该类材料加工后的表面粗糙度,为后续加工提供经验和数据.     

Improving orbit prediction accuracy through supervised machine learning

Due to the lack of information such as the space environment condition and resident space objects’ (RSOs’) body characteristics, current orbit predictions that are solely grounded on physics-based models may fail to achieve required accuracy for collision avoidance and have led to satellite collisions already. This paper presents a methodology to predict RSOs’ trajectories with higher accuracy than that of the current methods. Inspired by the machine learning (ML) theory through which the models are learned based on large amounts of observed data and the prediction is conducted without explicitly modeling space objects and space environment, the proposed ML approach integrates physics-based orbit prediction algorithms with a learning-based process that focuses on reducing the prediction errors. Using a simulation-based space catalog environment as the test bed, the paper demonstrates three types of generalization capability for the proposed ML approach: (1) the ML model can be used to improve the same RSO’s orbit information that is not available during the learning process but shares the same time interval as the training data; (2) the ML model can be used to improve predictions of the same RSO at future epochs; and (3) the ML model based on a RSO can be applied to other RSOs that share some common features.     

纺纱机微电脑控制仪的设计及实现

单片机由于具有功能强，性能价格比高，使用方便等优点，已在工业测试和控制中得到了日益广泛的应用。本文介绍了采用单片机对纺纱机纺纱工艺过程进行自动控制，控制仪的硬件结构、软件设计及抗干扰措施。