Dual Drive Curve Tool Path Planning Method for 5-axis NC Machining of Sculptured Surfaces

The problem of finished surface being not first-order continuous commonly exists in machining sculptured surfaces with a torus cutter and some other types of cutters. To solve this problem, a dual drive curve tool path planning method is proposed in this article. First, the maximum machining strip width of a whole tool path can be obtained through optimizing each tool position with multi-point machining (MPM) method. Second, two drive curves are then determined according to the obtained maximum machining strip width. Finally, the tool is positioned once more along the dual drive curve under the condition of tool path smoothness. A computer simulation and cutting experiments are carried out to testify the performance of the new method. The machined surface is measured with a coordinate measuring machine (CMM) to examine the machining quality. The results obtained show that this method can effectively eliminate sharp scallops between adjacent tool paths, keep tool paths smooth, and improve the surface machining quality as well as machining efficiency.     

MPC8270的MCP异常研究与分析

MPC8270处理器以其良好的性能和丰富的接口在航空机弹载嵌入式领域有广泛的应用.MPC8270提供丰富的异常机制供软件开发者使用,由于MCP的产生与硬件有紧密关系,并不会由于软件本身导致,因此往往软件开发者对其并不在意.结合在实际工作中碰到的故障事例,对MCP进行了详细的描述.对MCP正确的处理可以增加软件的可靠性.     

Identification of reduced-order model for an aeroelastic system from flutter test data

Recently, flutter active control using linear parameter varying (LPV) framework has attracted a lot of attention. LPV control synthesis usually generates controllers that are at least of the same order as the aeroelastic models. Therefore, the reduced-order model is required by syn-thesis for avoidance of large computation cost and high-order controller. This paper proposes a new procedure for generation of accurate reduced-order linear time-invariant (LTI) models by using sys-tem identification from flutter testing data. The proposed approach is in two steps. The well-known poly-reference least squares complex frequency (p-LSCF) algorithm is firstly employed for modal parameter identification from frequency response measurement. After parameter identification, the dominant physical modes are determined by clear stabilization diagrams and clustering tech-nique. In the second step, with prior knowledge of physical poles, the improved frequency-domain maximum likelihood (ML) estimator is presented for building accurate reduced-order model. Before ML estimation, an improved subspace identification considering the poles constraint is also proposed for initializing the iterative procedure. Finally, the performance of the proposed procedure is validated by real flight flutter test data.     

互联网+背景下英语课程空间教学模式探讨

随着互联网技术的不断发展,网络教学手段在高校英语教学中发挥着越来越重要的作用。将传统的课堂教学与网络空间教学有机结合起来,已经成为高校英语教学中不断探索的一种教学模式。文章以北华航天工业学院这一地方应用型本科高校为例,探讨了网络空间教学在高校英语教学中应用的具体策略。     

A multiple-CubeSat constellation for integrated earth observation and marine/air traffic monitoring

CubeSats has evolved from purely educational tools, to useful platforms for technology demonstration and many practical applications. This paper reviews a CubeSat constellation mission involving 3 CubeSats launched into orbit on Sep. 25th 2015, aiming to demonstrate the integrated application of low-cost CubeSat technologies with distributed payloads using a group of satellites, as well as to demonstrate several new technologies. The mission scenario, the satellite system design, the innovative technologies and instruments or devices used on the CubeSats and the in-orbit experimental results and the payload data analysis, as well as some experiences and lessons learned, are presented and summaried.     

高可扩展格子Boltzmann方法

格子Boltzmann方法(Lattice Boltzmann Method,LBM)是计算流体力学中的一种常用方法.由于LBM中的格点仅与相邻的格点间存在数据传递,因此具有良好的并行性.LBM并行算法中的数值通信部分通常采用的是格点上的微观量——分布函数.每次传递的分布函数具有多个不同的速度方向,为了进一步减少LBM并行算法的通信开销,从格子 Boltzmann方法的物理特性以及相应的串行程序为切入点,深层次地挖掘可并行的因子,设计了专门用于通信面的类,使用数量较少的宏观量进行通信,降低了通信所占的比重,缩短了通信时间,提高了加速比和效率.实验表明,在4 096个计算核上依然有良好的加速比和效率.     

基于Kriging形函数的线性时变结构模态参数辨识

近年来,对航空航天飞行器随时间变化的动力学特性研究需求越来越迫切。仅输出参数化时域的时变时间序列模型以其结构简约、精度高且跟踪能力强而成为研究热点,尤其是泛函向量时变自回归(FS-VTAR)模型已经得到了广泛应用。然而传统的FS-VTAR模型在保证其辨识优势的同时却需要针对不同时变结构选择合适的基函数形式及较高的基函数阶数,该过程相当复杂且耗时。本文借鉴无网格法中移动最小二乘(MLS)法构造形函数的思想,提出一种基于Kriging形函数的线性时变结构模态参数辨识方法。该方法首先引入自适应于辨识信号的Kriging形函数;再把时变系数在形函数上线性展开,利用最小二乘(LS)法得到形函数的展开系数;最后把时变模型特征方程转换为广义特征值问题提取出模态参数。利用时变刚度系统非平稳振动信号验证该方法,结果表明:基于Kriging形函数的FS-VTAR模型相比于传统的FS-VTAR模型能有效地避免基函数形式的选择和较高的基函数阶数,且精度相当;相比于移动最小二乘法能有效地解决其数值条件问题且具有更高的模态参数辨识精度。