少齿差行星齿轮传动在拉丝机上的应用

介绍渐开线少齿差行星齿轮传动的工作原理、传动优点和避免干涉的几何参数的合理选择计算，及其在拉丝机上的应用。     

K-H-V偏摆锥差行星机构的运动学和力学分析

运用陀螺理论即刚体定点转动理论,对Ｋ－Ｈ－Ｖ锥齿轮少齿差行星机构进行了运动学及动力学研究,分析了该机构的特殊性,取得了该型传动设计具有指导意义的一些重要结论。     

Sintered Ti–Ti3P–CaO electrodes and their application for pulsed electrospark treatment of titanium

In this study, the effect of mechanical treatment on the structure and phase composition of Ti+10% Ca₃(PO₄)₂ powder mixtures was investigated. Ceramic Ti–Ti₃P–CaO electrode materials with a high component homogeneity and a residual porosity of 5–7% were obtained in a process involving cold pressing and vacuum sintering. The erosive power of the sintered ceramic-metal Ti–Ti₃P–CaO electrode during the electrospark treatment of titanium substrates was examined, and a comparison with the SHS TiC_0.5–Ti₃PO_x–CaO electrodes was performed. Both the Ti–Ti₃P–CaO and TiC_0.5–Ti₃PO_x–CaO coatings exhibited high denseness with a width of approximately 20 μm, a hardness of 3.6 GPa, a roughness of 3.3–4.6 μm and a uniform distribution of bioactive calcium and phosphorus elements.     

基于行星历表的太阳系空间显示系统实现

为了研究太阳系中太阳和八大行星在不同参考系下实际的运动状态和运行轨迹,采用DE430行星历表计算出各天体太阳质心系中实际的状态向量,介绍了不同参考系之间的转换关系,并通过坐标转换进一步得到地球质心惯性系和地固系下天体的状态量。利用C#和SharpGL工具设计开发出太阳系三维空间显示系统,实现了不同参考系下各天体的坐标计算、动态显示、轨迹绘制和视点变化等功能,并进一步对系统进行了优化设计,软件运行结果表明,各天体在不同参考系中的运行状态不同,且有各自的运行规律。     

斜齿行星传动多体动力学建模与分析

建立了斜齿行星传动的多体动力学模型,对其进行了动态特性仿真,获知了该类系统的自由振动特性、稳态动力响应以及部分设计参数对系统动态特性的影响规律。根据系统特征值的重根数、中心构件的振型坐标及各行星轮间振型坐标的比例,将斜齿行星轮系的自由振动归结为3类典型振动模式,即：轴向平移—扭转振动模式、径向平移—扭摆振动模式和行星轮振动模式,并进一步给出了各类模式的特点。当不考虑构件自身柔性时,基于多体动力学模型的自由振动特性与前人的集中参数模型的仿真结果完全一致,表明了本文所建模型的正确性。斜齿行星轮系的稳态动力学响应表明,内、外啮合力在一个啮合周期内围绕静态均值作较大幅度的波动,而啮频激励是引起该类系统振动的主要原因。参数影响分析表明,构件支承刚度和行星轮周向安装误差对系统动态特性的影响明显,浮动太阳轮、严控行星轮周向安装误差可有效抑制系统的振动。     

Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm

Identifying the differences between the spectra or envelope spectra of a faulty signal and a healthy baseline signal is an efficient planetary gearbox local fault detection strategy. However, causes other than local faults can also generate the characteristic frequency of a ring gear fault; this may further affect the detection of a local fault. To address this issue, a new filtering algorithm based on the meshing resonance phenomenon is proposed. In detail, the raw signal is first decomposed into different frequency bands and levels. Then, a new meshing index and an MRgram are constructed to determine which bands belong to the meshing resonance frequency band. Furthermore, an optimal filter band is selected from this MRgram. Finally, the ring gear fault can be detected according to the envelope spectrum of the band-pass filtering result.     

Optimized experimental design for natural clinoptilolite zeolite ball milling to produce nano powders

Nano powder of natural clinoptilolite zeolite was mechanically prepared by using a planetary ball mill. Statistical experimental design was applied to optimize wet and dry milling of clinoptilolite zeolite. To determine appropriate milling conditions with respect to the final product crystallinity, particle size and distribution, different milling parameters such as dry and wet milling durations, rotational speed, balls to powder ratio and water to powder ratio (for the wet milling) were investigated. Laser beam scattering technique, scanning electron microscopy and X-ray diffraction analyses were carried out to characterize samples. Results showed that larger than 1 mm particle size of clinoptilolite powder may mechanically be reduced into the size range of less than 100 nm to 30 μm by means of planetary ball milling.     

带液压制动器的多级行星齿轮减速器在新型特大型三辊卷板机？…

本文介绍一种新型齿轮箱一多级行星齿轮箱,和一般卷板机比较,它的驱动结构简单,这种齿轮箱易于制造、传动性能良好。     

基于ELMD能量熵与AFSA-SVM的行星齿轮箱关键部件故障诊断研究

针对行星齿轮箱振动信号复杂时变调质特点使其\"难表征\",致使据此构建的状态辨识模型精度低的问题,提出一种基于总体局部均值分解（Ensemblelocalmeandecomposition,ELMD）的能量熵与人工鱼群算法（Artificialfishswarmalgorithm,AFSA）寻找支持向量机（Supportvectormachine,SVM）最优核函数系数组合的行星齿轮箱关键部件的状态辨识方法。首先,利用ELMD分解经形态平均滤波的行星齿轮箱关键部件的振动信号来获取若干窄带乘积函数（Productfunction,PF）。然后,计算其能量熵来构建高维特征向量集。最后,将其作为输入,通过训练学习建立AFSA优化SVM的行星齿轮箱关键部件状态辨识模型。实验结果表明,所提方法能凸显原信号中的有效故障成份,提高了模型的状态辨识精度。