采用微分法确定曲柄滑块机构最大行程速比系数

曲柄滑块机构,瞬间传动角愈大,其运动性能愈好;单向工作的曲柄滑块机构,行程速比系数愈大,急回特性愈强,工作效率愈高.采用微分法,以机构允许的最小传动角[γ]为设计依据,以机构行程速比系数为函数,对设计变量求导联立,导出机构能够实现最大行程速比系数kmax的函数表达式,绘制出函数曲线,并得出结论:机构最大行程速比系数k一只与许用传动角[γ]有关,且随着[γ]增大而减小.     

具有急回特性的曲柄摇杆机构的综合新探

针对目前具有急回特性的曲柄摇杆机构综合中存在的不足,对这类机构的图解法综合进行了深入的探讨,得到了行程速比系数和摇杆摆角取不同值时,Ⅰ型、Ⅱ型、Ⅲ型曲柄摇杆机构是否有解的判据,并给出用图解法综合具有急回特性的曲柄摇杆机构的方法.     

多用途数控转台的设计与研究

从分度传动、摆角传动、坐标轴夹紧、工作装卸机构等方面,设计研究多用途数控转台,将设计研究结果,作为数控机床附件,满足五轴联动加工需求.     

The influence of borehole arrangement of soundless cracking demolition agents(SCDAs) on weakening the hard rock

The hard roof difficult to collapse easily causes gas accumulation, which threatens the production safety of coal mine. Therefore, roof pre-cracking is required. Although blasting and hydraulic fracturing can also crack the roof, blasting can easily induce rock bursts, whereas hydraulic fracturing needs complex equipment. In contrast, soundless cracking demolition agents(SCDAs) with noise-free, dust-free, and safe characteristics have obvious advantages. The main component of SCDA is calcium oxide, which reacts with water to produce higher expansion pressure. In this paper, focused on the angles of the borehole, the effect of SCDA is analyzed by numerical simulation based on Pingdingshan coal mine. The research results showed that the azimuthal angle a(between borehole projection and the roadway direction) does not significantly affect the efficacy of SCDAs, whereas the influence of borehole elevation angle b is far more significant than that of the azimuthal angle. Therefore, the angle b is a dominant factor influencing the effect of SCDAs. Based on different effects of SCDAs at different angle of boreholes, the weakening unit was established, so the SCDAs could give full play to roof fracturing. Moreover, field tests validated the importance of borehole angle on weakening the hard roofs.     

空间交会激光雷达信息测量技术

为了测量目标飞行器的位置及速度等信息,提出采用模拟插入脉冲计数法测距,最小二乘曲线拟合微分法测速,四象限(QD)光斑定位法测角。并在MATLAB/SIMULINK环境下,对采用该方法的脉冲激光雷达信息测量系统进行了计算机仿真。结果表明,距离测量精度高,误差小于0.01m,速度精度也高,误差小于0.02m/s。采用该测量技术的脉冲激光雷达是可靠的。     

基于深度神经网络的自适应波束形成算法

阵列天线接收到的期望信号和干扰信号,其入射的到达角度(Angle of Arrival,AOA)总是快速变化的,而传统波束形成算法计算量大,无法实时计算。针对这一问题,提出了一种基于深度神经网络的自适应波束形成(Deep Neural Network Adaptive Beamforming,DNNABF)算法,用入射信号AOA组成的向量作为网络输入,网络输出逼近最小方差无失真响应(Minimum Variance Distortionless Response,MVDR)算法求得的权矢量。仿真结果表明,卷积神经网络(Convolutional Neural Network,CNN)与DNNABF方法都能准确拟合MVDR算法权矢量,可在入射信号AOA快速变化时自适应地形成波束和零陷,但DNN计算速度相对MVDR有将近6.5倍的提升,训练模型时间也远低于CNN。     

Ku波段螺旋波纹波导回旋行波管色散特性研究

为抑制回旋行波管的自激振荡和增加回旋行波管带宽,俄罗斯G.Denisov等人提出一种新型回旋行波管结构——螺旋波纹波导回旋行波管。通过螺旋波纹波导的特殊结构使通过波导的两种模式发生耦合,耦合出一种新的工作模式,从而改变色散特性,达到抑制自激振荡和增加带宽的目的。通过螺旋波纹波导的色散方程,分析其色散曲线,从而分析螺旋波纹波导作为回旋行波管高频系统的优势。     

基于霍夫变换和相位相关的图像配准方法

本文结合霍夫变换和相位相关技术来处理图像配准问题.根据1D相位相关技术,提出了一种通过搜索角度脊来得到旋转参数的方法;将待处理图像去旋转后,再采用2D相位相关来得到平移参数.本文方法可以充分利用FFT 的高效运算.实验结果表明此方法能准确有效地处理具有旋转和平移的图像配准问题.     

Novel angle estimation for bistatic MIMO radar using an improved MUSIC

In this article, we study the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar and propose an improved multiple signal classification (MUSIC) algorithm for joint direction of departure (DOD) and direction of arrival (DOA) estimation. The proposed algorithm obtains initial estimations of angles obtained from the signal subspace and uses the local one-dimensional peak searches to achieve the joint estimations of DOD and DOA. The angle estimation performance of the proposed algorithm is better than that of estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and is almost the same as that of two-dimensional MUSIC. Furthermore, the proposed algorithm can be suitable for irregular array geometry, obtain automatically paired DOD and DOA estimations, and avoid two-dimensional peak searching. The simulation results verify the effectiveness and improvement of the algorithm.     

Wollaston棱镜分束角的光谱特性

提要:为了了解Wollaston棱镜分束角随入射光波长的变化规律,我们对其分束角的光谱特性从理论上进行了分析,并进行了实验测试,结果表明:入射光波长对Wollaston棱镜的分束角有一定的影响,其规律为:棱镜的结构角越大,入射光波长对分束角的影响越大:紫外光谱区的影响大于可见和红外光谱区。对于Wollaston棱镜分束角的对称性,其特点为:棱镜结构角越大,入射光波长越短,对称性越差。