三梁纵弯扭超声驻波电机

论述三梁纵弯扭超声驻波电机的结构及原理．重点用F．E．M．方法研究了三梁纵弯扭耦合振子的动态特性．给出了振动频率和振型随耦合振子结构尺寸的变化规律，并对所研制的实验驻波电机性能进行了测试，还研制了驱动电路．这种电机运行性能优于已有的单梁纵弯扭驻波电机，具有广阔的应用前景．     

新型柱孔式模式转换型纵-扭复合模态超声振动系统*

为了改善基于螺旋槽结构和斜槽结构的模式转换型纵-扭复合模态超声振动系统存在的结构复杂、扭转分量较小等问题,论文提出了基于新型柱孔式复合变幅杆的模式转换型纵-扭复合模态超声振动系统,并利用有限元法和数据分析对其进行了仿真分析,结果表明,引入新型柱孔式复合变幅杆的系统的输出端面的剪切应力、旋转角度得到了大幅提升,能够有效地提高纵、扭振动的转换效率。     

纵扭复合型超声波电机的特性研究

纵扭复合型超声波电机是最典型的低速大力矩电机,其系统模型等尚有不少问题值得探讨,特别是摩擦面的力传递模型,直接涉及这种电机的特性。结合研制的纵扭复合型超声波电机样机,从理论和实验上分析研究了各种因素对机械特性的影响,并对电机接触面的转换效率进行了分析计算,指出了这种电机效率偏低的缘由。另外实验验证了这种电机具有工作频域较宽的特性。     

周期性扇形孔结构对斜槽型纵扭复合模态超声振动系统性能的影响*

为了解决基于斜槽结构的模式转换型纵扭复合模态超声振动系统存在的扭转分量较小、纵、扭转化效率较低的问题,论文对基于周期性扇形孔和斜槽结构的模式转换型纵扭复合模态超声振动系统进行了研究,主要仿真分析了扇形孔结构参数对基于斜槽结构的模式转换型纵扭复合模态超声振动系统谐振频率、扭转振幅、旋转角度和剪切应力的影响规律,并找到使系统获得最佳纵扭转换效率的扇形孔结构参数,且求解出扇形孔结构的引入对系统性能的改善幅度。     

超声变幅杆设计用表的计算机编制(IV)——纵、扭振变幅杆两用表

本文从分析纵振和扭振杆件振动方程及其解出发,得到两相对应的纵、扭振杆在外形、性能及尺寸应用声学     

斜槽式单激励纵扭超声变幅杆设计*

为实现在纵向单激励超声振动输入条件下获得纵扭谐振输出,提出一种基于声波传播理论为基础设计阶梯型变幅杆,并在其小端增加沿中心轴均布6斜槽的圆环传振杆的方案：首先数值计算进行理论设计,然后使用有限元进行分析修正,最后确定变幅杆尺寸。结果表明：理论设计谐振频率20kHz,仿真分析在19457Hz时变幅杆能够实现纵扭谐振;根据仿真结果制作变幅杆,阻抗测试结果谐振频率为19884Hz,与理论值、仿真值误差较小;在输入端加载幅值为5μm的纵向单激励超声振动,测试输出端截面圆周上任意一点,其切向和纵向振幅分别为12.7μm和8.5μm,表明变幅杆实现了纵扭谐振且振幅增强。     

纵-扭谐振超声滚压系统设计与试验

为实现6061铝合金高效优质表面强化,采用有限元仿真法优化设计了阶梯型纵-扭谐动变幅杆,设计、制造了一套纵-扭超声滚压试验装置。纵-扭谐动通过检测变幅杆输出端纵向、扭转两个方向的振幅间接验证。进行超声滚压试验,结果表明：相比普通滚压加工,纵-扭谐振超声滚压过试件表层显微硬度最高提高了41%;在所选参数范围内出现随着静压力增大表面显微硬度整体呈现局部变化整体增大趋势,随着转速增加呈现局部变化整体减小的趋势,随着进给量的增大先增大后减小的现象;相比普通滚压加工,纵-扭谐振超声滚压过的工件表面组织更细密光滑,滚痕由于扭振的高频反复挤压明显减少,形貌得到了较大改善,从而证明纵-扭超声滚压加工能更有效的实现6061铝合金的强化处理。     

超声振动系统的纵-弯和扭-弯复合振动

对超声变幅杆以及变幅杆与夹心换能器组成的振动系统的纵－弯和扭－弯复合振动进行了研究．变幅杆是任意变截面杆,弯曲振动分析是基于Ｔｉｍｏｓｈｅｎｋｏ理论．理论结果进行了实验验证．     

大力矩复合型超声波电机的数学模型与特性的仿真计算

首先简要介绍了纵-扭复合型超声波电机的结构和工作原理,在此基础上,对复合型超声波电机的数学模型进行了研究。根据所获得的数学模型对复合型超声波电机的工作特性进行了仿真计算,获得了许多有价值的结论。     

一种纵扭复合换能器型超声马达的原理及实验研究

本文从纵扭振动换能器理论出发，计算了一种新的复合换能器型超声马达，并进行了实验研究，测出了其主要性能参数。     

基于空间矢量脉宽调制策略的船用永磁同步电机控制仿真

随着船舶吊舱技术以及永磁电机及其控制技术的发展,永磁同步电动机开始迅速应用于船舶吊舱电力推进系统中。针对船用电机的转速和转矩在过渡过程中波动很大的现象,引入了空间矢量脉宽调制方案,结合永磁同步电机数学模型及船桨模型,搭建了基于空间矢量脉宽调制策略的船用永磁同步电机仿真模型。仿真结果表明空间矢量脉宽调制方式可有效减小转矩的脉动,电机推进系统有良好的动态响应效果。为船舶电力推进系统的研究提供了新的思路。     

Finite element model updating of a rod-type ultrasonicmotor based on response surface method

The conventional finite element model(FEM) of a rod-type ultrasonic motor is usually simplified by means of continuous composite structure. Because the actual contact characteristics between the parts of the ultrasonic motor is ignored, there is bigger error between the calculated values and experimental results. Aiming at solving problem, a new modeling method of a rod-type ultrasonic motor is presented to obtain a high-accuracy FEM. The bolt pretension and the normal contact stiffness and friction coefficient of the contact surface of ultrasonic motor are all considered in this method, and the significant parameters of working mode of the motor are selected by the response surface method, and the goal of calculating the structural response rapidly is realized by building the response surface model to replace the FEM. The result of finite element model updating shows that the average error of modal frequencies of updated model drops to 0.21% from 1.20%. The accuracy of FEM is obviously improved, which indicates that the FEM updating based on response surface method is of great application value on the design for a rod-type ultrasonic motor.     

基于LIN总线的雨刮电机自动控制系统的设计

针对目前汽车雨刮器质量检测局限于车身、集成度低、兼容性差等缺点,提出一种基于LIN总线技术的雨刮电机自动控制系统。系统由基于VB应用程序的上位机交互端与基于飞思卡尔HCS12系列单片机的下位机控制端组成,通过模拟车身LIN网络通信,实现雨刮电机的参数可配置驱动。实验表明,系统运行稳定,扩展性强,可以作为集成控制模块应用于脱离车身的雨刮器质量检测平台。     

电机温度时滞耦合系统自抗扰控制仿真研究

电机温度过高会造成绝缘性能老化,电机安全性能下降。电机控制系统是典型的非线性系统,电机温度也因此具有时滞性和耦合性的特点,难以建立准确的数学模型。传统的方法对电机温度的控制精度较差,从而导致电机温度失控。为此,提出基于BP神经网络自抗扰控制算法的电机时滞耦合关系下温度控制方法。将BP神经网络与PID控制方法相结合建立电机温度网络自抗扰控制器模型,利用梯度下降法修正电机温度控制器模型的权值系数,从而实现了BP神经网络自抗扰控制器参数的实时调整。实验结果表明,利用BP神经网络自抗扰算法进行电机时滞耦合关系下温度调整,能够有效提高控制的精确度,缩短了控制过程中的时间延时。     

Symmetric linear potential and imperfect Brownian ratchet in molecular motor function

Biomolecular motors are tiny engines that transport materials at the microscopic level within biological cells. In recent years, Elston and Peskin et al have investigated the effect of the elastic properties of the tether that connects the motor to its cargo at the speed of the motor. In this paper we extend their work and present a tether in the form of symmetric linear potential.Our results show that when the driving mechanism is an imperfect Brownian ratchet, the average speed decreases as the stiffness of the tether increases in the limit of large motor diffusion coefficient, which is similar to the results of Elston and Peskin.However, a threshold for the stiffness of the tether connecting the motor to its cargo is found in our model. Only when the tether is stiffer than the threshold can the motor and its cargo function co-operatively, otherwise, the motor and its cargo depart from each other. This result is more realistic than that of the spring model of Elston and Peskin.     

Diagnosis of the three-phase induction motor using thermal imaging

Three-phase induction motors are used in the industry commonly for example woodworking machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive industry, chemical industry and railway applications. Diagnosis of faults is essential for proper maintenance. Faults may damage a motor and damaged motors generate economic losses caused by breakdowns in production lines. In this paper the authors develop fault diagnostic techniques of the three-phase induction motor. The described techniques are based on the analysis of thermal images of three-phase induction motor. The authors analyse thermal images of 3 states of the three-phase induction motor: healthy three-phase induction motor, three-phase induction motor with 2 broken bars, three-phase induction motor with faulty ring of squirrel-cage. In this paper the authors develop an original method of the feature extraction of thermal images MoASoID (Method of Areas Selection of Image Differences). This method compares many training sets together and it selects the areas with the biggest changes for the recognition process. Feature vectors are obtained with the use of mentioned MoASoID and image histogram. Next 3 methods of classification are used: NN (the Nearest Neighbour classifier), K-means, BNN (the back-propagation neural network). The described fault diagnostic techniques are useful for protection of three-phase induction motor and other types of rotating electrical motors such as: DC motors, generators, synchronous motors.     

水下火箭水平射流初期特征研究

水中工作固体火箭发动机处于重浮力同时作用环境下, 与工作于大气环境下的固体火箭发动机具有不同的工作特性. 为进一步掌握水下固体火箭发动机的工作特性, 对具有重浮力特征的水下射流进行研究, 重点分析重浮力作用下水平喷射射流结构及推力振荡情况, 采用VOF模型对水平喷射且具有重浮力特征的三维发动机模型进行仿真模拟, 对比有/无重浮力下射流气泡的上浮特征, 并采用动量原理对发动机工作初期的射流扰动进行分析, 获得了重浮力下水下固体火箭发动机的推力振荡特征. 研究结果表明: 由于重浮力逐渐占据主导地位, 射流气泡具有明显的上浮特征, 推力与重浮力耦合后在竖直方向产生的翻转力矩更大, 通过与文献中实验对比可见, 采用VOF模型并考虑重浮力后仿真所得射流结构与实验结果更吻合.     

Coupling of two motor proteins: a new motor can move faster

We study the effect of a coupling between two motor domains in highly processive motor protein complexes. A simple stochastic discrete model, in which the two parts of the protein molecule interact through some energy potential, is presented. The exact analytical solutions for the dynamic properties of the combined motor species, such as the velocity and dispersion, are derived in terms of the properties of free individual motor domains and the interaction potential. It is shown that the coupling between the motor domains can create a more efficient motor protein that can move faster than individual particles. The results are applied to analyze the motion of RecBCD helicase molecules.     

响应面法的杆式超声电机有限元模型修正

现有杆式超声电机的有限元模型大都采用连续复合材料的简化结构形式,忽略了实际超声电机各部件间的接触特性,导致计算结果与实验结果具有较大偏差。针对该问题,提出了一种采用响应面法的杆式超声电机有限元模型修正方法,来获得高精度的有限元模型。该方法考虑了超声电机螺栓预紧力及各部件接触界面的法向接触刚度和摩擦系数,筛选出显著影响电机工作模态的参数,建立响应面模型替代超声电机的有限元模型实现快速计算结构响应的目的,并以实验模态分析结果为目标对模型进行修正。修正结果表明,修正后的模型模态频率的平均误差由修正前的1.20%降到0.21%,模型精度得到明显改善,表明以响应面的有限元模型修正方法对杆式超声电机以及类似夹心式压电振子的设计具有应用价值。      

A nonlinear POD reduced order model for limit cycle oscillation prediction

As the amplitude of the unsteady flow oscillation is large or large changes occur in the mean background flow such as limit cycle oscillation,the traditional proper orthogonal decomposition reduced order model based on linearized time or frequency domain small disturbance solvers can not capture the main nonlinear features.A new nonlinear reduced order model based on the dynamically nonlinear flow equation was investigated.The nonlinear second order snapshot equation in the time domain for proper orthogonal decomposition basis construction was obtained from the Taylor series expansion of the flow solver.The NLR 7301 airfoil configuration and Goland+ wing/store aeroelastic model were used to validate the capability and efficiency of the new nonlinear reduced order model.The simulation results indicate that the proposed new reduced order model can capture the limit cycle oscillation of aeroelastic system very well,while the traditional proper orthogonal decomposition reduced order model will lose effectiveness.