一种高可靠航天器火工品等效器的设计与实现

目前航天器电传爆火工品采用脉宽信号起爆,一般多个点同时起爆,路数较多且脉宽窄。针对航天器地面模飞测试时,精确监测各个火工品起爆次数和起爆指令脉宽问题,提出了一种火工品等效器的设计方案,它由PXI工控机、通用板卡和专用板卡,以及备份数据浏览终端等4部分组成,具有可靠性高、通用性强、维修性好等特点,已在YZ-3上面级中得到应用,对整器自动化测试和发射起到了有力的支持作用。     

普伐他汀钠片的溶出曲线研究

以普伐他汀钠片溶出曲线研究为例,详解溶出度实验和方法建立的一般过程和要求,有助于学生加强对固体口服制剂溶出度实验的理解并形成初步的研究思路,有利于培养适应制药工业发展需求的应用型人才。     

机器视觉在光学加工检测中的应用

随着自动化控制领域的飞速发展,机器视觉技术日渐成熟,并且在各个领域赢得了越来越广泛的应用。机器视觉系统通过对图像信息的处理,用机器代替人眼实现了各种测量和判断。本综述简要介绍了机器视觉技术的概念和机器视觉系统的主要组成部分,阐述了机器视觉关键技术的发展现状,着重分析了机器视觉技术在光学加工检测领域,特别是在光学抛光检测过程中实现自动化的相关应用,最后展望了机器视觉在光学加工检测领域未来的发展趋势。     

高温高压下金刚石单晶生长过程的声发射动态特征

采用声发射技术对高温高压下人造金刚石单晶的生长过程进行了动态检测。结合合成压块的断口形貌,对金刚石单晶生长过程对应的主要声发射参数进行了分析。结果表明,声发射信号的能量计数、振铃计数、幅度和上升时间等特征参数能客观反映金刚石单晶在高温高压下的动态生长规律,为研究金刚石单晶的生长机制提供了重要的实验依据。     

Testing a large aspheric surface based on analysis of scanning 3D interferogram

A new method based on new reconstruction algorithm and new interferogram fringe analysis was proposed for testing a large aspheric surface. In the testing process, firstly, the interferometer or the tested aspheric surface was shifted relatively for measurement of the whole aperture of the tested aspheric surface to obtain a series of interferograms. Then these interferograms were analyzed to extract the best matching point, where the annular sub-surface was tangent with the corresponding reference sphere of the reference wavefront. Finally, the wavefront aberration of the whole aperture was figured out to describe the deformation information of the tested surface. Without any additional null optical elements, this method can perform the measurement directly. So, this method provides an effective and convenient means of testing the large-aperture aspheric surface. The mathematical model of this method is described, and the results of simulation tests are presented to verify it.     

Evaluating the suitability of acoustical measurement techniques and psychophysical testing for studying the consistency of musical wind instrument manufacturing

Musicians often claim to be able to discern differences in the playing properties of musical wind instruments that have been manufactured in exactly the same way. These differences are most likely due to disparities in bore profile or in the positioning and sealing of any valves or side holes. In this paper, the suitability of acoustic pulse reflectometry and a capillary-based impedance measurement technique for detecting differences between instruments of the same model is explored through measurements on two low-cost, mass-produced trumpets. Differences in the measured bore profiles of the two instruments are reported, with the largest deviation caused by the presence of a leak in the third valve of one of the trumpets. Differences in input impedance measurements made on the two instruments are also noted, with the main cause shown to be the leaky valve. Controlled playing tests are carried out using the same two trumpets in order to evaluate the effectiveness of psychophysical testing in establishing whether there are perceptible differences in the playing properties of nominally identical wind instruments. A semi-professional musician is proved to be able to discriminate between the trumpets whereas an amateur player is shown to be unable to do the same.     

光电观察系统对海作用距离测试与评价方法

通过分析光电观察系统的使用方法、工作过程以及对海上目标作用距离的影响因素,探讨了使用探测距离、识别距离和辨识距离等三项测量指标作为评价成像系统作用距离性能的合理性,研究了成像系统对海上目标作用距离测试方法和数据处理方法。     

Multi-axial behavior of shape-memory alloys undergoing martensitic reorientation and detwinning

Recently, a rate-independent, finite-deformation-based crystal mechanics constitutive model for martensitic reorientation and detwinning in shape-memory alloys has been developed by Thamburaja [Thamburaja, P., 2005. Constitutive equations for martensitic reorientation and detwinning in shape-memory alloys. Journal of the Mechanics and Physics of Solids 53, 825–856] and implemented in the ABAQUS/Explicit [Abaqus reference manuals. 2005. Providence, RI] finite-element program. In this work, we show that the aforementioned model is able to quantitatively predict the experimental response of an initially textured and martensitic polycrystalline Ti–Ni rod under a variety of uniaxial and multi-axial stress states. By fitting the material parameters in the model to the stress–strain response in simple tension, the constitutive model predicts the stress–strain curves for experiments conducted under simple compression, torsion, proportional-loading tension–torsion, and path-change tension–torsion loading conditions to good accord. Furthermore the constitutive model also reproduces the force–displacement response for an indentation experiment to reasonable accuracy.     

深度学习在超声检测缺陷识别中的应用与发展*

深度学习（Deep Learning）是目前最强大的机器学习算法之一,其中卷积神经网络（Convolutional Neural Network, CNN）模型具有自动学习特征的能力,在图像处理领域较其他深度学习模型有较大的性能优势。本文先简述了深度学习的发展史,然后综述了深度学习在超声检测缺陷识别中的应用与发展,从早期浅层神经网络到现在深度学习的应用现状,并借鉴医学影像识别和射线图像识别领域的方法,分析了卷积神经网络对超声图像缺陷识别的适用性。最后,探讨归纳了目前在超声检测图像识别中使用CNN存在的一些问题,及其主要应对策略的研究方向。     

Slippage mutation rates in 15 autosomal short tandem repeat loci for forensic purposes in a Southeastern Brazilian population

Well‐defined estimates of mutation rates in highly polymorphic tetranucleotide STR loci are a prerequisite for human identification in genetics laboratory routines useful for civil and criminal investigations. Studying 15 autosomal STR loci of forensic interest (CSF1PO, D2S1338, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D19S433, D21S11, FGA, TH01, TPOX, and vWA), we detected 193 slippage mutations (189 one‐step and four two‐step mutations) in 148 875 parent‐child allelic transfers from 5171 paternity cases with true biological relationship (15 096 individuals; 4754 trios and 417 duos; 9925 meiosis) from the state of São Paulo, a very representative population of Brazil. The overall mutation rate was 1.3 × 10^?3 and the highest rates were observed at loci vWA (2.8 × 10^?3), FGA and D18S51 (2.7 × 10^?3 for both), while loci TH01 and TPOX did not present any mutations. The mean slippage mutation rate of paternal origin (1.8 × 10^?3) was six times higher than that observed for maternal origin (0.3 × 10^?3).