RLC串联电路与微梁耦合系统1:2内共振分析

研究电阻电感电容串联电路与微梁耦合系统的非线性振动,应用拉格朗日-麦克斯韦方程,建立受静电激励RLC串联电路与微梁耦合系统的数学模型。根据非线性振动的多尺度法,得到了在内共振ω2≈2ω1的情况下的近似解,并进行数值计算,得到用椭圆函数表示的解析解。计算结果表明,在无阻尼情况下,振动和能量在两个态间相互转换,没有能量损失。     

静电力作用下的微梁失稳临界电压分析

针对微机械器件中普遍使用的微梁在静电力作用下的变形、吸附、电压与间距等设计问题,以平行板电容器为原型,利用弹性力学中的板梁静力学方程和静电场分布的拉普拉斯方程建立了微悬臂梁的机电耦合模型。将不均匀分布的静电力载荷等效离散为一组集中载荷,对小变形梁应用叠加法求解耦合模型控制方程,得到微梁失去稳定平衡状态的临界电压和梁的挠曲线。结果表明,电压增高,梁的挠度随之增大,达到临界电压时,梁末端的挠度与变形前的间隙之比为 0 42~0 44。     

基于尺寸效应的FG-SMA微梁非线性自由振动特性研究

形状记忆合金具有相变温度低、输出应力高、能耗小、驱动电压低、可恢复应变大、生物相容性好等特性。随着形状记忆合金制备技术的进一步发展,有学者提出将功能梯度形状记忆合金材料用于微机电系统等智能微结构,将使其具有更优良的特性。因此开展机电多场耦合功能梯度形状记忆合金微结构的非线性自由振动特性研究具有重要研究价值。本文基于冯卡门几何非线性理论,综合考虑静电力和分子间作用力的影响,考虑尺寸效应,基于修正偶应力理论,建立两端固定的功能梯度形状记忆合金微梁模型,对功能梯度形状记忆合金微梁相变前后的机电耦合非线性自由振动问题进行深入研究,分析了尺寸效应参数、几何结构参数和相变参数等对功能梯度形状记忆合金微梁自由振动特性的影响。     

基于尺寸效应的FG-SMA微梁非线性自由振动特性研究

形状记忆合金具有相变温度低、输出应力高、能耗小、驱动电压低、可恢复应变大、生物相容性好等特性。随着形状记忆合金制备技术的进一步发展,有学者提出将功能梯度形状记忆合金材料用于微机电系统等智能微结构,将使其具有更优良的特性。因此开展机电多场耦合功能梯度形状记忆合金微结构的非线性自由振动特性研究具有重要研究价值。本文基于冯卡门几何非线性理论,综合考虑静电力和分子间作用力的影响,考虑尺寸效应,基于修正偶应力理论,建立两端固定的功能梯度形状记忆合金微梁模型,对功能梯度形状记忆合金微梁相变前后的机电耦合非线性自由振动问题进行深入研究,分析了尺寸效应参数、几何结构参数和相变参数等对功能梯度形状记忆合金微梁自由振动特性的影响。     

静电驱动下微观曲梁的非线性动力学特性研究

研究微机电系统中微结构的动力学特性,对确保微机电系统的稳定运行具有重要的意义。以直流、交流电压作用下的微观曲梁为研究对象,采用Euler-Bernoulli梁模型、Galerkin数值离散方法,在考虑主共振的情况下使用多尺度法研究了两端固支微梁的非线性动力学特性和可能出现的跳跃、吸合现象。结果表明:直流、交流电压越大,阻尼值越小,系统表现出更强的非线性特性;系统对交流电荷载作用下的振动响应相对于直流电荷载更加敏感;随着曲梁拱形高度的增加,系统会依次出现软化和硬化两种不同的行为;系统在分岔点附近可能出现跳跃现象。研究结果可为合理选取物理参数和控制系统振动行为提供参考。     

考虑尺度效应的微梁刚柔耦合动力学分析

摘要：不少微观实验已经证实,微尺度领域材料的力学性能存在尺度效应。文章以转动刚体、柔性微梁组成的刚柔耦合系统为研究对象,采用偶应力理论（又称 Cosserat理论）研究微梁动力学特性的尺度效应,运用拉格朗日方程推导出系统考虑尺度效应的一次近似刚柔耦合动力学方程。仿真结果表明,较本文提出的一次近似耦合模型,传统的零次近似耦合模型在刚体作高速旋转时不能正确地描述微梁的动力学行为;尺度效应使微梁振动的振幅减小,频率增大。     

一种低机械噪声弱耦合的微机电陀螺敏感结构

研究了一种能够在大气压下达到较高性能的微机电陀螺敏感结构。设计了一种用于敏感垂直于结构平面方向的角速度的、驱动轴和检测轴相似的线振动微机电陀螺敏感结构。用U形梁隔离驱动器、敏感质量块和检测器以降低机械耦合,检测轴采用变面积式检测电容以降低阻尼。推导了振动速率陀螺的机械频率响应特性,分析了机械热噪声和在调谐及非调谐模式下检测电路噪声等效的角速度噪声,分析了梁的刚度矩阵和机械耦合特性,测试了结构的驱动-检测耦合频率响应。在大气压下陀螺检测轴品质因数达到66,机械热噪声为1.89((°)·h-1)/√Hz,理论耦合刚度比大于800。     

基于自旋梁的压电振动能量采集与动力学分析

为研究轴向载荷及梁上外激励共同作用下自旋梁结构强迫振动的压电振动能量采集问题,文章提出运用格林函数法求解自旋梁压电俘能器强迫振动下的电压解析解.基于Euler-Bernoulli梁理论,采用扩展Hamilton原理及PZT-5A压电本构,建立了自旋梁压电俘能器强迫振动的力电耦合模型.采用Laplace变换法求得耦合振动方程的格林函数解,并根据线性叠加原理和格林函数的物理意义,对耦合的系统方程进行解耦,进而求得强迫振动下自旋梁压电俘能器的电压解析解.数值计算中,通过与现有文献中的解析解以及实验结果进行对比,验证了本文解的有效性,并分别分析了自旋梁压电俘能器的压电响应与电阻、转速等重要物理参数之间的关系.数值分析研究表明:(1)自旋梁俘能器的压电响应随电阻阻值的增大而增大,直至阻值达到最优负载电阻;(2)通过调高转速,可以提高压电俘能器的最大输出电压;(3)通过降低轴向载荷,可在保持俘能器高效工作的情况下改善俘能器的高基频现象.     

生物芯片压电微流体泵液-固耦合系统模态分析

对压电微流体泵粘性流体周期流动进行厚度积分平均近似,得到包含粘性的,非线性浅水波动方程,并采用有限元法得到微泵液体压强矩阵方程．液体压强矩阵方程和压电硅片振动有限元方程耦合,得到一个包含微泵进出口扩散管的液-固耦合系统振动方程．液-固耦合系统的模态分析结果表明,做泵液-固耦合系统的自然频率比不耦合的硅片振动自然频率低很多．随着微泵厚度的减少,液体附加质量和粘性阻尼对耦合系统自然频率的影响更加明显．同时发现,对应的压电片振型函数在液-固耦合前后没有明显变化,还给出硅片-阶模态的振幅-频率特征曲线,对薄型无阀压电微流体泵,浅水波模型合理地表达了微泵液体流动和压电硅片振动的相互作用,以及液体附加质量和粘性阻尼对微泵液-固耦合系统动力特征的影响。     

电学开路挠曲电悬臂梁自振频率分析

挠曲电效应是一种新兴的机电耦合效应,在微纳米尺度的传感器、致动器和俘能器方面有广阔的应用前景．本文基于挠曲电材料的变分原理和电吉布斯自由能,推导了表面覆盖电极的挠曲电悬臂梁在电学开路条件下的机电耦合动力学控制方程和相应的力电边界条件．进一步获得了求解电学开路条件下挠曲电悬臂梁自振频率的超越方程．以聚偏氟乙烯(PVDF)材料为算例,讨论了挠曲电系数、末端质量块和梁尺寸对结构自振频率和电学开路/短路条件下结构自振频率有效频移的影响．计算结果表明,挠曲电系数的增大会提高梁的自振频率;末端质量的增大可以降低梁的自振频率,并且末端质量块的转动效应对悬臂梁自振频率的影响很小;悬臂梁结构的有效频移随着结构尺寸减小而增加,并在某一厚度尺寸趋于饱和值．     

Electrogas- and electrohydrodynamic control of gas and liquid jets and flows

The physical and mathematical principles of the method of electrogas-and electrohydrodynamic conversion of electrical signals to pneumatic (hydraulic) signals and vice versa for control of gas and liquid jets and flows in electropneumohydraulic systems are considered. St. Petersburg State Technical University, St. Petersburg 195251. Translated from Prikladnaya Mekhanika i Tekhnicheskaya Fizika, Vol. 41, No. 2, pp. 25–31, March–April, 2000.     

Fatigue and static strength of notched and unnotched aluminum-alloy and steel specimens

This paper describes a method of presentation of fatigue data on three commonly used aircraft materials, 2024-T3 and 7075-T6 aluminum alloys and normalized SAE 4130 steel, such that variations in fatigue strength with stress-concentration factor can be shown. Comparisons of the fatigue strengths of 2024-T3 and 7075-T6 aluminum are made for the most useful range of stress-concentration factors. Static-strength results of notched and unnotched specimens of the three materials are presented to show how the strength varies with some parameters of the stress concentration. Comparison of the data with one theory for the strength of cracked specimens was made.     

STICTION AND ANTI—STICTION IN MEMS AND NEMS

Stiction in microelectromechanical systems (MEMS) has been a major failure mode ever since the advent of surface micromachining in the 80s of the last century due to large surfacearea-to-volume ratio. Even now when solutions to this problem are emerging, such as self-assembled monolayer (SAM) and other measures, stiction remains one of the most catastrophic failure modes in MEMS. A review is presented in this paper on stiction and anti-stiction in MEMS and nanoelectromechanical systems (NEMS). First, some new experimental observations of stiction in radio frequency (RF) MEMS switch and micromachined accelerometers are presented. Second, some criteria for stiction of microstructures in MEMS and NEMS due to surface forces (such as capillary, electrostatic, van der Waals, Casimir forces, etc.) are reviewed. The influence of surface roughness and environmental conditions (relative humidity and temperature) on stiction are also discussed. As hydrophobic films, the self-assembled monolayers (SAMs) turn out able to prevent release-related stiction effectively. The anti-stiction of SAMs in MEMS is reviewed in the last part. The project supported by the Distinguished Young Scholar Fund of NSFC (10225209), key project from the Chinese Academy of Sciences (KJCX2-SW-L2) and National “973” Project (G1999033103)     

水和水蒸汽热力学物性参数及导数的计算与应用

本文针对现代换热设备设计、两相流动与传热研究的需要,介绍了可供科研使用的水和水蒸汽物性计算方法,完善了计算程序。根据超临界锅炉设计中的超临界水的物性计算,两相流研究和换热设备动态特性研究中对物性导数计算的需要,提供了两个算例,并进行了定性分析。     

Microcanonical Entropy and Mesoscale Dislocation Mechanics and Plasticity

A methodology is devised to utilize the statistical mechanical entropy of an isolated, constrained atomistic system to define constitutive response functions for the dissipative driving-force and energetic fields in continuum thermomechanics. A thermodynamic model of dislocation mechanics is discussed as an example. Primary outcomes are constitutive relations for the back-stress tensor and the Cauchy stress tensor in terms of the elastic distortion, mass density, polar dislocation density, and the scalar statistical density.     

Sound and vorticity interactions: transmission and scattering

We review several aspects of the propagation of sound in vortical flows. We restrict ourselves to isothermal, humidity-free flows at low Mach number M. Since vorticity plays a major role in vortex-flow interactions we focus on vortical flows. We consider two main canonical situations. The first concerns the transmission of sound. We analyze the evolution of acoustic wavefronts as they propagate across a single vortex. The second situation addresses the scattering of sound waves by nonstationary vortices. We study the evolution of the acoustic pressure emitted in the far field, at an angle with the initial direction of propagation. In this geometry one performs direct spectroscopy of the flow vorticity field. In each case, we review theoretical results and compare with experimental measurements and numerical simulations when available. We also briefly report how the following new acoustic techniques have recently been used to study complex or turbulent flows: time-resolved acoustic spectroscopy, speckle interferometry and Lagrangian particle tracking. PACS 43.25, 43.28, 47.32, 67.40     

Data-driven modeling and learning in science and engineering

In the past, data in which science and engineering is based, was scarce and frequently obtained by experiments proposed to verify a given hypothesis. Each experiment was able to yield only very limited data. Today, data is abundant and abundantly collected in each single experiment at a very small cost. Data-driven modeling and scientific discovery is a change of paradigm on how many problems, both in science and engineering, are addressed. Some scientific fields have been using artificial intelligence for some time due to the inherent difficulty in obtaining laws and equations to describe some phenomena. However, today data-driven approaches are also flooding fields like mechanics and materials science, where the traditional approach seemed to be highly satisfactory. In this paper we review the application of data-driven modeling and model learning procedures to different fields in science and engineering.