便携式人体皮肤摩擦性能测试仪的研制

随着对人体皮肤摩擦学特性研究的展开,目前还没有适用的设备对脸颊?额头等不规则形状部位进行测试,本文研制了一种便携式的摩擦性能测试仪,并在不损害皮肤情况下进行人体皮肤摩擦性能测试,结果表明:该测试仪使用方便?性能可靠.在0.2 2N 的接触正压力和10 60nml/S 的滑行速度范围内,皮肤摩擦系数与施加的接触正压力及滑行速度无关.自然状态下,手背?手掌?前臂屈侧?前臂伸侧?前额部位皮肤摩擦系数在性别间的差距较小,但脸颊部位皮肤摩擦系数女性却远大于男性.护肤品处理后,各测试部位皮肤摩擦系数在性别间的差距都有所缩小.     

Nonlinear analysis of a rub-impact rotor supported by turbulent couple stress fluid film journal bearings under quadratic damping

This work reports a numerical study undertaken to investigate the dynamic response of a rotor supported by two turbulent flow model journal bearings with nonlinear suspension and lubricated with couple stress fluid under quadratic damping. This may be the first time that analysis of rotor-bearing system considered the quadratic damping effect. The dynamic response of the rotor center and bearing center are studied. The analysis methods employed in this study are inclusive of the dynamic trajectories of the rotor center and bearing center, power spectra, Poincaré maps and bifurcation diagrams. The maximum Lyapunov exponent analysis is also used to identify the onset of chaotic motion. The modeling results provide some useful insights into the design and development of rotor-bearing system for rotating machinery that operates at highly rotational speed and highly nonlinear regimes.     

基于无网格—图论方法的岩体边坡稳定性分析研究

将无网格伽辽金法应用于岩体边坡稳定性分析,发展了基于无网格模型和有向加权图Bellman-Ford最短路径搜索算法相结合的无网格-图论边坡滑移面搜索方法,以搜寻节理岩体边坡失稳时的临界滑移面并得出其相应的安全系数.区别于传统的滑移面搜索算法,本文方法无需假定滑移面形状,更适用于具有复杂滑移线形状的节理岩体边坡的稳定性分析与计算,具有稳定和高效的算法特点.文中详细论述了无网格-图论最短路径算法的理论、方法和程序实现,并通过算例说明该方法在岩体边坡稳定性分析中的适用性.     

Effects of axial preload of ball bearing on the nonlinear dynamic characteristics of a rotor-bearing system

This research studies the effects of axial preload on nonlinear dynamic characteristics of a flexible rotor supported by angular contact ball bearings. A dynamic model of ball bearings is improved for modeling a five-degree-of-freedom rotor bearing system. The predicted results are in good agreement with prior experimental data, thus validating the proposed model. With or without considering unbalanced forces, the Floquet theory is employed to investigate the bifurcation and stability of system periodic solution. With the aid of Poincarè maps and frequency response, the unstable motion of system is analyzed in detail. Results show that the effects of axial preload applied to ball bearings on system dynamic characteristics are significant. The unstable periodic solution of a balanced rotor bearing system can be avoided when the applied axial preload is sufficient. The bifurcation margins of an unbalanced rotor bearing system enhance markedly as the axial preload increases and relates to system resonance speed.     

黄土地基中大直径超长群桩基础受力特性的模型实验研究

通过室内模型试验,对黄土地基中大直径超长群桩基础的承载-沉降关系、承台下土体附加应力的分布及发展、桩土承载情况以及不同位置桩的受力特性分别进行了研究。结果表明:黄土地基中大直径超长群桩基础荷载-沉降曲线呈缓变型且没有明显拐点,故群桩基础的极限承载力应综合沉降-时间对数s-lgt曲线和荷载-沉降Q-s曲线来确定。承台下土体附加应力分布为边缘大中心小。不同位置的桩承载性能不同,总体上是角桩(6#桩)最大,边桩(5#桩)次之,中心桩(1#桩)最小;同时各桩的桩侧摩阻力及桩身轴力沿桩长的变化也有所不同。     

钢管混凝土格构柱偏压承载能力分析的数值方法

采用泰勒级数作为分段插值函数,在考虑多个截面的平衡条件和紧箍效应钢管混凝土应力-应变关系基础上,提出了钢管混凝土格构柱弹塑性极限承载力数值方法,并编制了相应的计算程序。与现有的分段合成法相比,该方法考虑了剪力对柱变形的影响,不仅适用于两端偏心相等的偏压构件,而且适用于两端偏心不等的偏压构件的弹塑性极限承载力的计算。利用提出的计算方法和编制的程序对国内已有两端偏心相同的四肢钢管混凝土格构偏压长柱的试验结果进行了计算,并与现有规程进行了比较,结果表明:现有计算方法结果偏于保守,计算误差大,本文提出的计算结果与试验结果吻合良好。     

高速运动条件下玄武岩摩擦系数的实验研究

在MM－1000型摩擦磨损试验机上采用不同试验条件对玄武岩试件进行了高速摩擦试验研究,结果表明：摩擦表面载荷、运动速度以及摩擦速度以及摩擦表面特性等因素均对摩擦系数产生影响;摩擦系数随载荷的增大呈现减小趋势;对于饱和吸水试件,摩擦系数随运动速度增大持续降低;在其它试验条件下,饱和吸水试件的动摩擦系数比干燥试件明显要低。     

碳纤维增强铜基复合材料自润滑轴承的设计准则

根据均匀设计原理,对碳纤维增强铜基复合材料的磨损试验参数予以科学排列,不仅减少了试验次数,而且提高了试验数据统计结果的可靠性,同时,引入可靠性技术,建立了自润滑轴承在不同临界磨损率下材料的可靠度-压强-速度曲线及其计算方法,为碳纤维增强铜基复合材料自润滑轴承的设计提供依据。     

基于Poincare变换的滑动轴承非线性油膜力数据库方法

运用状态空间Poincare变换使径向滑动轴承动力系统的部分状态变量由无限区间变换到有限区间,在经过变换的状态空间中求解Reynolds方程,建立了径向滑动轴承非线性油膜力数据库及相应的插值拟合程序,实现了非线性油膜力的快速准确获得。通过滑动轴承,转子系统运动瞬态分析和Poincare映射方法验证了数据库及拟合程序的精度。     

Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy

The fuzzy-entropy-based complexity metric approach has achieved fruitful results in bearing fault diagnosis. However, traditional hierarchical fuzzy entropy (HFE) and multiscale fuzzy entropy (MFE) only excavate bearing fault information on different levels or scales, but do not consider bearing fault information on both multiple layers and multiple scales at the same time, thus easily resulting in incomplete fault information extraction and low-rise identification accuracy. Besides, the key parameters of most existing entropy-based complexity metric methods are selected based on specialist experience, which indicates that they lack self-adaptation. To address these problems, this paper proposes a new intelligent bearing fault diagnosis method based on self-adaptive hierarchical multiscale fuzzy entropy. On the one hand, by integrating the merits of HFE and MFE, a novel complexity metric method, named hierarchical multiscale fuzzy entropy (HMFE), is presented to extract a multidimensional feature matrix of the original bearing vibration signal, where the important parameters of HMFE are automatically determined by using the bird swarm algorithm (BSA). On the other hand, a nonlinear feature matrix classifier with strong robustness, known as support matrix machine (SMM), is introduced for learning the discriminant fault information directly from the extracted multidimensional feature matrix and automatically identifying different bearing health conditions. Two experimental results on bearing fault diagnosis show that the proposed method can obtain average identification accuracies of 99.92% and 99.83%, respectively, which are higher those of several representative entropies reported by this paper. Moreover, in the two experiments, the standard deviations of identification accuracy of the proposed method were, respectively, 0.1687 and 0.2705, which are also greater than those of the comparison methods mentioned in this paper. The effectiveness and superiority of the proposed method are verified by the experimental results.