共查询到19条相似文献,搜索用时 140 毫秒
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介绍两种新型的半导体InSb磁敏电阻的单相齿轮传感器和双相齿轮传感器的工作原理、结构、技术性能和应用。 相似文献
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半导体磁敏电阻和传感器 总被引:2,自引:0,他引:2
InSb磁敏电阻元件用磁敏电阻传感器是一种新型的,重要的磁敏元件和传感器。首先,简要介绍了InSb磁敏电阻元件和磁敏电阻传感器的工作原理,结构,性能等;分别介绍磁敏电阻传感器,磁性墨水文字图形识别传感器,齿轮传感器,磁性编码器,直线位移传感器,齿轮传感器,磁性编码器,直线位移传感器,无接触电位器等工作原理,结构,主要技术性能和应用。 相似文献
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五、InSb磁敏电阻和传感器及应用 1、InSb磁敏电阻 与霍尔器件不同,InSb磁敏电阻像其它电阻器一样是一种纯电阻性两端元件,所不同的是它的电阻随磁场的变化而变化。根据图2中几何磁阻效应原理制造的InSb磁敏电阻的基本结构和电阻值与磁场的特性曲线如图10所示。 由图10(a)可见,一个长方体InSb材料被5条In短路条(它具有金属性质)分割 相似文献
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InSb磁阻元件与传感器的进展 总被引:3,自引:0,他引:3
InSb磁敏电阻及传感器是磁敏元件与传感器的主要品种之一。对这类元件及传感器的工作原理、结构和性能等分别作了简要介绍。其中有分立型磁敏元件,磁敏无接触电位器、旋转传感器、精密小角度角位移传感器、直线位移传感器、压力传感器和图形识别传感器等。除介绍主要技术性能之外,还简要介绍了它们的应用实例。 相似文献
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InSb磁敏电阻器的开发 总被引:4,自引:0,他引:4
<正> InSb磁敏电阻器是利用半导体磁阻效应制成的一种磁敏元件。因为这种元件的基本结构是一种两端型结构,所以在各种应用中,特别是在电路布局中就比四端型霍尔元件有许多优越性。 相似文献
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7、InSb磁敏旋转传感器 图14介绍了利用单个InSb磁敏电阻测量与旋转有关的物理量。在本节中介绍的旋转传感器在原理上和图14一样,但在结构上这种传感器是一个将电子线路、InSb磁敏电阻及永磁铁等组装在一起,接上电源和检测仪表便可应用的整体装置。 图33是一种用于柴油汽车上测量发动机转速的InSb磁敏旋转传感器,电路框图如图34所示。这种传感器的特点是耐高温和各种恶劣环境。工作温度范围为-40~+120℃,电源电压为12~32VDC,最大工 相似文献
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高灵敏度InSb磁敏电阻是制造无接触电位器的核心部件。本文研究的磁敏电阻已被装配到WMC-1型磁敏电位器中,实测结果表明它完全符合设计要求。该磁敏电阻是一种三端式结构,InSb单晶片尺寸为10×10mm~2的正方形,厚度d≈30μm,用环氧胶粘贴在陶瓷基片上。其电阻值R=1~3kΩ,灵敏度;ΔR/R≥50%(B=0.3T)。 相似文献
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基于Maxwell软件的齿轮测速传感器的磁路分析 总被引:2,自引:0,他引:2
齿轮测速传感器在工业测量和自动控制中有着广泛而重要的应用,其中尤其以磁敏类传感器应用最为广泛.对比于光电类齿轮测速传感器,磁敏测速传感器抗震动,不怕油污,特别适合在恶劣条件的工业现场使用.齿轮的形状和大小强烈的影响传感器检测到的磁通的分布,进而影响到信号的检测,因此测速齿轮可以设计成不同与传动齿轮的非标准齿轮,使得检测信号最大.有限元模拟软件Maxwell在磁场模拟中有着广泛的应用,其界面简单,使用方便,模拟真实.本论文以Maxwell为基础对测速传感器的磁路进行分析,以磁敏感芯片为中心,分析了齿轮的尺寸和形状,永磁磁铁和齿轮之间的气隙,以及永磁磁铁的磁感应强度的大小,分析的结论对实际传感器的设计有较好的指导意义. 相似文献
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Arzu Özbey Mehrdad Karimzadehkhouei Sinan Eren Yalçın Devrim Gozuacik Ali Koşar 《Microfluidics and nanofluidics》2015,18(3):447-460
One of the most important and promising research areas in biomedical and micropumping applications is magnetic actuation of ferrofluids with dynamic magnetic fields. For ensuring the use of ferrofluids in various applications in engineering fields, their flows generated by magnetic fields should be extensively investigated and simulated. In this study, simulations of ferrofluid actuation with dynamic magnetic fields were performed by modeling it using the COMSOL Multiphysics software, and iron oxide nanoparticle-based ferrofluids at different angles of rotating magnets were considered to provide insight into ferrofluid flow in small channels. Ferrofluid flows were modeled at different magnetic flux densities provided by rotating magnets, and velocity profiles inside the channel were analyzed. It was shown that ferrofluid actuation can be considered as a futuristic micropumping alternative, simulation results matched well with the experimental results of previous work, and the established model could serve as a tool to analyze ferrofluid flows generated by dynamic magnetic fields. The results of the model show that flow rates up to 100 µl/s can be reached at a rotation angle of 30° by using dynamic magnetic fields. Various applications including biomedical applications might be envisaged. 相似文献
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《Computer Methods in Applied Mechanics and Engineering》2002,191(23-24):2587-2610
This paper presents and analyzes a method for the simulation of the dynamical behavior of a coupled magneto-mechanical system such as a damping machine. We consider a two-dimensional model based on the transverse magnetic formulation of the eddy currents problem for the electromagnetic part and on the motion equation of a rotating rigid body for the mechanical part.The magnetic system is discretized in space by means of Lagrangian finite elements and the sliding mesh mortar method is used to account for the rotation. In time, a one step Euler method is used, implicit for the magnetic and velocity equations. The coupled differential system is solved with an explicit procedure. 相似文献
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Bing Li Pei-lin Zhang Shuang-shan Mi Peng-yuan Liu Dong-sheng Liu 《Neural computing & applications》2013,22(3-4):627-636
Gear faults are among the main causes of rotating machines breakdown in industrial applications. Intelligent condition monitoring for fault diagnosis can be helpful for detecting gear faults in an early stage so as to reduce production loss and, in addition, improve operation safety and reliability. In this work, we present an intelligent gear fault diagnosis scheme based on a novel classification model, namely the fuzzy lattice neurocomputing (FLN) classifier model. Five gear states including one healthy state and four defective states are tested in a two-stage gearbox. Statistical parameters in both the time domain and the frequency domain of vibration signals, acquired from gearbox, are used as features. We conducted experiments on a benchmark dataset as well as on a gear faults dataset to evaluate both the classification performance and the computational cost of the FLN classifier comparatively with alternative classification methods from the literature including artificial neural networks, support vector machines and decision trees. Our study has demonstrated that the FLN model yields better classification performance with smaller computational cost than the aforementioned alternative methods. The FLN classifier can further be used for condition monitoring and fault diagnosis in other mechanical systems. 相似文献
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渐开线齿轮机构的啮合运动具有重合系数大的特点,传递力和转速更加平稳,是应用最广泛的零件之一。但由于渐开线齿轮齿廓形状和轮体结构复杂多变而成为三维造型技术的难点。基于COM技术,阐述了在SolidWorks中开发斜齿轮的参数化编程步骤与方法。 相似文献
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We calculate Berry phases and entanglement of adiabatic states for a two spin-1/2 system described by the Heisenberg model with Dzyaloshinski-Moriya (DM) interaction; one of the spins is driven by a time-varing rotating magnetic field and the other is coupled with a static magnetic field. This static magnetic field can be used for controlling as well as vanishing the Berry phases and entanglement of the system state. Besides, we show that the Berry phase and entanglement are not always exact but useful to detect energy levels approach. Additionally, we find that a nontrivial two-spin unitary transformation, purely based on Berry phases, can be obtained by using two consecutive cycles with the opposite direction of the static magnetic field, opposite signs of the exchange constant as well as DM interaction, and a phase shift of the rotating magnetic field. This unitary transformation presents a two-qubit geometric phase gate. 相似文献