基于液压自然爆膜的压力传感器动态标定方法

介绍了一个基于液压自然爆膜的压力传感器动态校准系统，研究了标定实验数据的处理方法，分析了该系统标定结果的重复性。试验结果表明该标定系统重复性好，可以满足0～30MPa，0～50kHz压力传感器动态标定的要求。     

斯特林制冷机真空环境模拟试验

文章针对空间红外遥感器应用特点,进行了斯特林制冷机的模拟真空环境试验。试验结果表明:温度环境和导热条件是影响斯特林制冷机空间应用的重要因素。     

Near-wall topological patterns and flow structures over a simplified Danaus plexippus model

Studies on the high-lift mechanisms of butterfly gliding flights shed light on the design of the micro air vehicles. The flow field around a simplified Danaus plexippus model is investigated using the hydrogen bubble visualization and the Particle Image Velocimetry (PIV) techniques. There are three near-wall topological patterns with different Angles of Attack (AoAs): the separation bubble, the Leading-Edge Vortex (LEV) and the high AoAs flow. For the separation bubble pattern, two saddles and two foci form in the middle of the model. The features of the LEV pattern are the leading-edge separation lines. The topological characteristics of the separation lines are changed by the interaction between the LEV and the Wing-Tip Vortex (WTV). For the high AoAs flow pattern, four unstable foci are found at the forewing and the hindwing respectively. The angle between the trajectory of the WTV and the model increases with increasing AoA even though the slope of the WTV angle versus AoA curve declines at the moderate AoAs.     

基于改进的卷积神经网络的步态识别

为了提高惯性传感器采集到的序列数据中步态识别的准确率,建立了一个激励层改进的卷积神经网络(CNN)模型。针对三轴加速度传感器对运动太过敏感导致步态周期划分不准确的问题,采用加速度传感器与弯曲度传感器组合获取人体运动信息。将CNN模型中激励层的线性整流函数(ReLU)改进为带泄露线性整流函数(Leaky ReLU),以解决遇到卷积输出数据小于0时神经元被抑制的问题,进而达到提高步态识别准确率的目的。实验结果表明激励层优化的CNN模型在行走、上下楼和上下坡五种步态模式下识别率达到了95.79%,与未采用弯曲度传感器的改进CNN模型和未进行激励层改进的CNN模型相比,步态识别率有所提高。     

One-dimensional numerical investigation on multi-cylinder gasoline engine fueled by micro-emulsions,CNG, and hydrogen in dual fuel mode

This research work is the novel state-of-the-art technology performed on multi-cylinder SI engine fueled compressed natural gas, emulsified fuel, and hydrogen as dual fuel. This work predicts the overall features of performance, combustion, and exhaust emissions of individual fuels based on AVL Boost simulation technology. Three types of alternative fuels have been compared and analyzed. The results show that hydrogen produces 20% more brake power than CNG and 25% more power than micro-emulsion fuel at 1500 r/min, which further increases the brake power of hydrogen, CNG, and micro-emulsions in the range of 25%, 20%, and 15% at higher engine speeds of 2500–4000 r/min, respectively. In addition, the brake-specific fuel consumption is the lowest for 100% hydrogen, followed by CNG 100% and then micro-emulsions at 1500 r/min. At 2500–5000 r/min, there is a significant drop in brake-specific fuel consumption due to a lean mixture at higher engine speeds. The CO, HC, and NO_x emissions significantly improve for hydrogen, CNG, and micro-emulsion fuel. Hydrogen fuel shows zero CO and HC emissions and is the main objective of this research to produce 0% carbon-based emissions with a slight increase in NO_x emissions, and CNG shows 30% lower CO emissions than micro-emulsions and 21.5% less hydrocarbon emissions than micro-emulsion fuel at stoichiometric air/fuel ratio.     

用于风洞实验的磁悬挂技术研究

30mm×30mm五分力磁悬挂天平由电磁铁组、电磁感应式位置传感器、磁悬挂控制器、气动力测量系统等部分构成。在80m/s低速风洞中进行了吹风试验的主要结果,包括电磁铁设计理论与结构形状、传感器工作原理与数学模型、控制补偿律和工程实现中的一些技术问题。     

氢脉泽谐振腔频率-温度效应分析

进一步改进氢钟的频率稳定度,要求了解影响频率稳定度的各个过程及其影响的相对大小。讨论影响氢钟谐振腔频率的各种热动力学过程。这种分析能够使钟的研制者和用户去识别稳定度的限制因素并因此加以选择以便改进频率稳定度。     

星敏感器姿态测量相对基准偏差在轨标校方法研究

摘要： 对航天器星敏感间姿态测量基准偏差在轨标校及性能评估问题进行研究.建立包含敏感器安装误差与测量误差的星敏感器模型,针对两种不同形式的安装误差模型,推导出相应的观测方程,基于卡尔曼滤波方法设计相对基准偏差估计器,并比较分析两种估计器实际应用特点.然后针对在轨实际应用,给出一种基于敏感器光轴夹角的标校性能评估方法,通过数学仿真验证星敏感器相对基准偏差的标校的有效性,并基于在轨数据的标校应用获取相对基准偏差在轨特性.     

基于模态局部化效应的微机械加速度计研究进展

模态局部化效应是安德森局部化在结构动力学中的一种具体表现形式,其利用振动模态的能量局部集中效应实现了灵敏度的大幅度提高。因此,模态局部化效应近年来逐渐被用于研制高精度的谐振式传感器。介绍了模态局部化效应的基本原理及发展历程,及其在各类谐振式传感器中的应用及研究现状,包括质量传感器、电荷传感器、位移传感器以及刚度传感器。最后,着重介绍了模态局部化效应在惯性敏感器件加速度计中的应用及研究现状。