基于近PMTP区域双峰谐振效应的长周期光纤光栅应变传感理论分析

利用长周期光纤光栅(LPFG)的双峰谐振效应,结合LPFG传感器工作于近相位匹配转折点(PMTP)附近的高灵敏度,提出了一种新型的长周期光纤光栅应变传感器的设计方法。利用LPFG相位匹配条件,分析了长周期光纤光栅近PMTP附近的双峰谐振特性、应变传感特性,发现双峰波长间距对微小应变具有很高的响应度和线性度。进一步讨论了光栅结构参数和包层直径对双峰LPFG应变灵敏度的影响,发现光栅周期对该传感器的应变灵敏度、线性度和应变测量范围具有很大的影响;光栅长度对谐振峰高度和宽度有较大影响,直接关系到传感器寻峰精度;通过增大包层直径,可以进一步增大应变灵敏度。结果表明,通过选取适合的光栅结构参量和包层半径,该传感器应变灵敏度可比一般长周期光纤光栅应变传感器的应变灵敏度提高2个数量级。这为设计高应变灵敏度双峰谐振LPFG应变传感器提供了结构优化的理论支持。     

石墨烯谐振式力学量传感器研究进展

传统谐振式传感器的谐振敏感元件大多采用金属、石英晶体、硅等材料制成,但随着谐振式传感器朝着小型化、微型化、实用化的趋势发展,不但要求新型谐振子材料可进行微纳加工,还对其灵敏度和精度提出了更高的要求.石墨烯这种新型二维纳米材料,因具有出色的力学、电学、光学、热学特性,在谐振传感领域有着巨大的应用潜力和研究价值,因此基于石墨烯材料的力学量传感器有望在小型化、高性能和环境适应性等多方面超越硅基力学量传感器.本文针对石墨烯谐振式力学量传感器,介绍了石墨烯材料的基本性质、制备与转移方法,阐述了谐振式传感器的工作原理与应用特点,进而分析了关于石墨烯谐振特性优化与谐振器制备的理论与实验研究;在此基础上,重点总结了石墨烯谐振器在压力、加速度、质量等传感器领域的研究进展,梳理了石墨烯谐振式力学量传感器在薄膜转移、结构制备与激振/拾振等方面的技术问题,同时也明确了石墨烯在谐振传感领域的研究价值和发展潜力.     

氮掺杂和空位对石墨烯纳米带热导率影响的分子动力学模拟

石墨烯是近年纳米材料研究领域的一个热点,其独特的热学性质受到了广泛关注,为了实现对石墨烯传热特性的预期与可控,利用氮掺杂和空位缺陷对石墨烯进行改性.采用非平衡态分子动力学方法研究了扶手形石墨烯纳米带中氮掺杂浓度、位置及空位缺陷对热导率影响并从理论上分析了热导率变化原因.研究表明氮掺杂后石墨烯纳米带热导率急剧下降,氮浓度达到30%时,热导率下降了75.8%;氮掺杂位置从冷浴向热浴移动过程中,热导率先近似的呈线性下降后上升;同时发现单原子三角形氮掺杂结构比多原子平行氮掺杂结构对热传递抑制作用强;空位缺陷的存在降低了石墨烯纳米带热导率,空位缺陷位置从冷浴向热浴移动过程中,热导率先下降后上升,空位缺陷距离冷浴边缘长度相对于整个石墨烯纳米带长度的3/10时,热导率达到最小.石墨烯纳米带热导率降低的原因主要源于结构中声子平均自由程和声子移动速度随着氮掺杂浓度、位置及空位缺陷位置的改变发生了明显变化.这些结果有利于纳米尺度下对石墨烯传热过程进行调控及为新材料的合成应用提供了理论支持.     

强耦合串联石墨烯纳米机械振子

与微米机械振子相比, 纳米机械振子使用纳米级材料制备, 尺寸更小, 质量更轻, 它作为探测器, 在探测力、质量等物理量时拥有更高的灵敏度. 石墨烯有高强度、 低密度等优良的机械特性, 被认为是制备纳米机械振子的理想材料. 基于其制备的石墨烯纳米机械振子有着高谐振频率、高品质因子和谐振频率可调性高等优势, 对于纳米力学的基础研究和应用都具有重要的意义. 本文利用微纳加工工艺(包括电子束曝光、 电子束蒸发镀膜、 反应离子刻蚀和微米级定点干法转移技术)制备了串联石墨烯纳米机械振子样品, 并在极低温下(10 mK) 测量了石墨烯机械振子的机械性质, 实现两个串联石墨烯纳米机械振子的强耦合, 耦合强度为1.34 MHz, 协同系数C = 399.     

不同温度条件下单层石墨烯纳米带弛豫性能的分子动力学研究

分别采用Tersoff-Brenner势和AIREBO势,对三种长宽比的单层石墨烯纳米带在不同热力学温度(0.01—4000 K)下的弛豫性能进行了分子动力学模拟.对基于两种势函数模拟的石墨烯纳米带弛豫的能量曲线和表面形貌进行了分析对比,研究了石墨烯纳米带在弛豫过程中的动态平衡过程.模拟结果表明:单层石墨烯纳米带并非完美的平面结构,边缘处和内部都会呈现一定程度的起伏和皱褶,这与已有的实验结果相符合;石墨烯纳米带的表面起伏程度随长宽比的减小而减小,并且在不同温度条件下,系统动能对石墨烯纳米带的弛豫变形的影响很大,即系统温度越高,石墨烯纳米带的弛豫变形幅度愈大;高长宽比纳米带在一定温度条件下甚至会出现卷曲现象.最后,对采用Tersoff-Brenner势和AIREBO势进行石墨烯的分子动力学模拟进行了深入分析.     

品质因子可调的石墨烯纳米机械振子

纳米机械振子尺寸小,质量轻,可以用来制作探测力、质量等微小物理量的超灵敏探测器.石墨烯拥有质量轻、密度低和杨氏模量高等特性,被认为是制作纳米机械振子的理想材料.石墨烯纳米机械振子因其具有的谐振频率高、品质因子高和谐振频率可调性高等优势,近年来得到了人们的广泛关注.作为表征纳米机械振子性能的一个重要指标,品质因子越高,意味着纳米机械振子耗散越低,纳米机械振子的灵敏度越高.本文通过微纳加工的工艺制备出一种谐振频率随栅压可调(调节的范围为73MHz~90MHz)的石墨烯纳米机械振子样品,研究其在极低温高真空环境下的品质因子与栅极电压之间的关系.实验表明通过栅压调节振子的内部应力,能够使石墨烯纳米机械振子品质因子从220提高到1000.我们的结果为二维材料纳米机械振子的耗散研究提供了一种新的研究思路.     

高双折射光纤环镜应变传感研究

研究了高双折射光纤环镜的应变传感原理,推导了谐振波长与轴向应变的关系式,并进行了实验研究.该传感器具有很高的灵敏度：谐振波长漂移为0.031 8 nm/με,约是裸光纤光栅的32倍.谐振波长和轴向应变之间的线性拟合度为0.999 4.该传感器具有灵敏度高、结构紧凑、使用方便等优点.     

基于石墨烯谐振沟道晶体管的高频纳米机电系统信号读取研究

结合石墨烯场效应晶体管和机械谐振原理,研究了基于本地背栅石墨烯谐振沟道晶体管(RCT) 的高频机械信号直接读取方法.利用机械剥离法获得的石墨烯,提出了一种基于刻蚀技术的器件制备方法, 并实现了栅长和栅宽分别为1 μm的本地背栅RCT.实验结果表明,在室温下RCT的谐振频率范围为57.5–88.25 MHz.研究结果对加速石墨烯纳米机电系统和高频低噪声器件的应用有着重要作用. 关键词： 石墨烯 谐振沟道晶体管 纳米机电系统     

应力对石墨烯热输运性质影响的分子动力学模拟

本文建立了低维薄膜材料导热模型,运用非平衡分子动力学模拟的方法,利用lanmmps软件对单层石墨烯纳米带的导热特性进行仿真分析,根据Fourier定律计算热导率,再对石墨烯纳米带的原子施加一定耦合应力场,把应力耦合作用下的石墨烯热导率与正常的石墨烯纳米带进行了对比研究,模拟数据结果表明:在石墨烯纳米带上施加耦合应力时,会导致石墨烯纳米带热导率升高,且随应力增加而增大,模拟范围内热导率升高2.61倍,并且应力方向会对热导率变化产生一定影响,这个研究为纳米尺度上石墨烯相关研究和进一步提升热导率提供了新思路.     

基于F型梁的光纤光栅加速度传感器

为满足悬臂梁式传感器测量带宽大、灵敏度高的需求,采用F型梁增敏结构设计了一种光纤光栅加速度传感器。首先推导出传感器的谐振频率和灵敏度公式,在此基础上使用MATLAB优化传感器参数,并利用ANSYS对传感器进行模态分析和谐响应分析,得到了传感器的模态振型图以及两种不同阻尼比条件下的幅频响应,仿真结果与理论计算基本一致。制作了2个传感器实物,对直接封装的传感器1和填充硅油后封装的传感器2进行了幅频响应、灵敏度特性和横向抗干扰能力测试。实验结果表明：传感器1的谐振频率约为168 Hz,测量带宽为1.5～50 Hz,灵敏度系数为159.84 pm/g,横向抗干扰度为9.88%,谐振频率和灵敏度理论值与实际值误差分别为0.93%和3.29%;填充硅油后的传感器2的测量带宽为1.5～100 Hz,灵敏度系数为133.57 pm/g,横向抗干扰度为8.1%。实验证明在传感器内部填充硅油可以增大传感器工作带宽,提高横向抗干扰能力。     

Assessment of Timoshenko Beam Models for Vibrational Behavior of Single-Walled Carbon Nanotubes Using Molecular Dynamics

In this paper, we study the flexural vibration behavior of single-walled carbon nanotubes (SWCNTs) for the assessment of Timoshenko beam models. Extensive molecular dynamics (MD) simulations based on second-generation reactive empirical bond-order (REBO) potential and Timoshenko beam modeling are performed to determine the vibration frequencies for SWCNTs with various length-to-diameter ratios, boundary conditions, chiral angles and initial strain. The effectiveness of the local and nonlocal Timoshenko beam models in the vibration analysis is assessed using the vibration frequencies of MD simulations as the benchmark. It is shown herein that the Timoshenko beam models with properly chosen parameters are applicable for the vibration analysis of SWCNTs. The simulation results show that the fundamental frequencies are independent of the chiral angles, but the chirality has an appreciable effect on higher vibration frequencies. The SWCNTs is very sensitive to the initial strain even if the strain is extremely small.     

Effects of heteroatom (boron or nitrogen) substitutional doping on the electronic properties of graphene nanoribbons

The electronic properties of graphene nanoribbons (GNRs) with heteroatom (boron or nitrogen) substitutional doping at different sites are investigated by performing first-principles calculations based on density functional theory. The calculated results show that boron substitutional doping changes the conducting characteristics of GNRs to half-metallic. In contrast, nitrogen substitutional doping results in retention of the half-metallic characteristics of GNRs. It is predicted that the theoretical results may be valuable to the design of GNR-based spintronics devices.     

Modeling of an air-backed diaphragm in dynamic pressure sensors: Effects of the air cavity

As the key structure of most dynamic pressure sensors, a diaphragm backed by an air cavity plays a critical role in the determination of sensor performance metrics. In this paper, we investigate the influence of air cavity length on the sensitivity and bandwidth. A continuum mechanics model neglecting the air viscous effect is first developed to capture the structural–acoustic coupling between a clamped circular diaphragm and a cylindrical backing air cavity. To facilitate sensor design, close-form approximations are obtained to calculate the static sensitivity and the fundamental natural frequency of the air-backed diaphragm. Parametric studies based on this analytical model show that the air cavity can change both the effective mass and the effective stiffness of the diaphragm. One new finding is that the natural frequency of the air-backed diaphragm behaves differently in three different cavity length ranges. In particular, due to the mass effect of the air cavity being dominant, it is shown for the first time that the natural frequency decreases when the cavity length decreases below a critical value in the short cavity range. Furthermore, a finite element method (FEM) model is developed to validate the continuum mechanics model and to study the damping effect of the air cavity. These results provide important design guidelines for dynamic pressure sensors with air-backed diaphragms.     

盘片式光纤传感器灵敏度计算方法

系统地开展了对各类盘片式光纤传感器灵敏度的研究工作。以周边固支、中心镶嵌刚性质量块的盘片式光纤加速度传感器为例,分析了传感器弹性盘片上各点的应力应变状态;结合迈克耳孙干涉仪原理,建立了计算传感器加速度灵敏度的数学模型,并讨论了粘贴光纤盘的最佳尺寸。制作两个相应的传感器进行对比实验,验证了上述计算模型的正确性。采用上述模型系统地推导了不同边界条件情况下盘片式光纤传感器的粘贴区域和灵敏度计算公式。对盘片式光纤传感器如光纤加速度传感器、光纤压力传感器、光纤水听器等的设计制作具有理论指导作用。     

Electronic transport properties of metallic graphene nanoribbons with two vacancies

We studied theoretically the electronic transport of metallic graphene nanoribbons (GNRs) with two vacancies using the tight-binding model and Green’s function method. The results show that the conductance of zigzag GNR (ZGNR) varies with the relative position of two vacancies. However, when two vacancies reside on the edges, the conductance remain unchanged compared to that of perfect GNRs due to the interaction between vacancy state and edge state. Moreover, the conductance at the Fermi level for armchair GNR (AGNR) can be zero or finite depending on the position of vacancies on the GNRs. The demonstrated features of electronic transport open extremely attractive perspectives for designing well-defined GNR-based nanoelectronic devices.     

Electronic properties of boron and nitrogen doped graphene nanoribbons and its application for graphene electronics

On the basis of density functional theory calculations, we have systematically investigated the electronic properties of armchair-edge graphene nanoribbons (GNRs) doped with boron (B) and nitrogen (N) atoms. B (N) atoms could effectively introduce holes (electrons) to GNRs and the system exhibits p- (n-) type semiconducting behavior after B (N) doping. According to the electronic structure calculations, Z-shape GNR-based field effect transistors (FETs) is constructed by selective doping with B or N atoms. Using first-principles quantum transport calculations, we demonstrate that the B-doped p-type GNR-FETs can exhibit high levels of performance, with high ON/OFF ratios and low subthreshold swing. Furthermore, the performance parameters of GNR-FETs could be controlled by the p-type semiconducting channel length.     

From zigzag to armchair: the energetic stability, electronic and magnetic properties of chiral graphene nanoribbons with hydrogen-terminated edges

The energetic stability, electronic and magnetic properties of chiral graphene nanoribbons (GNRs) with hydrogen-terminated edges are investigated using density functional theory. Our calculations show that the percentage of carbon atoms at the zigzag sites (P(z)) is the key factor determining the electronic and magnetic properties of chiral GNRs. Within the local spin density approximation, chiral GNRs with P(z) ≥ 50% have a semiconducting antiferromagnetic ground state. Otherwise, chiral GNRs are spin degenerate semiconductors. Thus, the critical chiral angle for the occurrence of spin polarization is determined to be 13.9°. In contrast to the antiferromagnetic state that is independent of the width of GNRs investigated, size effects occur for the ferromagnetic metastable state. These findings are helpful for the design of GNR-based spintronic devices.     

Design of shaped piezoelectric modal sensor for beam with arbitrary boundary conditions by using Adomian decomposition method

The theory for designing distributed piezoelectric modal sensors is well established for beam structures. However, the current modal sensor theory is limited in scope in that it can only be applied in the case of classical boundary conditions (i.e., either clamped, free, simply supported or sliding). In this paper a solution to the problem of finding the shape of piezoelectric modal sensors for a beam with arbitrary boundary conditions is proposed, using the Adomian decomposition method (ADM). A general expression for designing the shape of a piezoelectric modal sensor is presented, in which the output signal of the designed sensor is proportional to the response of the target mode. Other modes are filtered out. The modal sensor shape is expressed as a function of the second spatial derivative of the structural mode shape function. Based on the ADM and employing some simple mathematical operations, the closed-form series solution of the second spatial derivative of the mode shapes can be determined. Then the shapes of the designed modal sensors are obtained. Finally, some numerical examples are given to demonstrate the feasibility of the proposed modal sensors. It is shown that, for classical boundary conditions, the shapes of the modal sensors based on the ADM agree well with analytical and numerical results given in the literature. For general boundary conditions it is found that the shape of the modal sensors is influenced by the number of modes of interest because the second spatial derivatives of the mode shapes are not orthogonal to one another. The modal sensors for general boundary conditions can be considered as modal filters within a limited frequency band.     

Analysis of an encapsulated whispering gallery mode micro-optical sensor

Whispering gallery mode (WGM) based micro-optical sensors are known to have higher sensitivity than fiber Bragg grating, Fabry–Perot, and microbend sensors. WGM sensors are created by optical coupling of a dielectric microparticle with an optical fiber. The combination of a microparticle and an optical-fiber to create the sensor requires encapsulating them in a suitable material so that the sensor can be used in practical applications. The sensitivity of the encapsulated sensors needs to be calibrated before they can be used. The present study conducts a parametric study to understand the effect of variables such as particle size and particle–fiber distance on the sensitivity of the encapsulated WGM sensors. Solid and hollow microparticle based sensors are studied. In the case of hollow particles, their wall thickness effects are also characterized. Results show that despite small strain, change in the index of refraction of the particle material due to the applied force contributes significantly in determining the sensitivity of these sensors.     

Vibrational analysis of carbon nanotubes using molecular mechanics and artificial neural network

This paper presents the molecular mechanics based finite element modeling of carbon nanotubes (CNTs) and their applications as mass sensors. The beam element with elastic behavior is considered as the bond between the carbon atoms and its properties are obtained using equating continuum and molecular characteristics. The first five natural frequencies of CNTs in cantilever and doubly clamped boundary conditions (BCs) and their corresponding mode shapes are studied in detail. Furthermore, a multilayer perceptron neural network is used to predict the fundamental vibration frequencies of the CNTs with different diameters and lengths. In addition, variations of the natural frequencies of the CNTs with distorted cross sections are investigated. Moreover, the effects of some attached masses with various values on the first three natural frequencies of a considered CNT are studied here.