光纤的总剂量效应分析研究

对光纤的总剂量效应进行了研究.介绍了光纤结构及传输特性,分析了光纤的总剂量效应.讨论了60Co-γ射线辐照条件下的试验结果.分析表明,在空间辐射环境中,光纤的传输性能在长波段受影响较小.对光纤在空间的应用有参考意义.     

Biomimetic Robust Starch Composite Films with Super-Hydrophobicity and Vivid Structural Colors

The starch composite films (SCFs) will be one of the best alternative packaging materials to petroleum based plastic films, which mitigates white pollution and energy consumption. However, weak mechanical stability, water resistance, and dyeability has hindered the application of SCFs. Herein, a bioinspired robust SCFs with super-hydrophobicity and excellent structural colors were prepared by fiber-reinforcement and assembling SiO₂/Polydimethylsiloxane (PDMS) amorphous arrays on the surface of SCFs. The properties of the designed SCFs were investigated by various methods including scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thermo-gravimetric analysis (TGA), a tensile test, contact angle (CA) test, and an optical test. The results showed that the obtained SCFs possessed a higher tensile strength (55.17 MPa) attributed to the formed abundant hydrogen bonds between the molecular chains of the starch, cellulose fiber, and polyvinyl alcohol. Benefiting from the nanostructure with rough surface which were modified by materials with low surface free energy, the contact angle and sliding angle of the film reached up to 154° and 2°, respectively. The colors which were produced by the constructive interference of the coherent scattered light could cover all of the visible regions by tuning the diameters of the SiO₂ nanoparticles. The strategy in the present study not only reinforces the mechanical strength and water resistance of SCFs but also provides an environmentally friendly way to color the them, which shows unprecedented application potential in packaging materials of the starch composite films.     

PAN基原丝预氧丝炭纤维微结构的几种新的X射线衍射散射定量表征技术

介绍几种新近开发的针对PAN基原丝、预氧丝和炭丝微结构和结构缺陷的X射线衍射与散射定量表征技术,它们是:纤维材料中柱状(椭球状)纳米取向微孔体积分数X射线小角散射定量表征方法;纤维材料中柱状(椭球状)纳米取向微孔取向角的小角散射定量表征方法;预氧丝中链状相与环化相体积分数的小角衍射定量表征方法以及炭纤维中乱层石墨相与单层石墨相的X射线广角衍射定量表征方法等。     

In-fiber liquid-level probe based on Michelson interferometer via dual-mode elliptical multilayer-core fiber

Abstract

An in-fiber liquid-level probe fabricated from homemade dual-mode elliptical multilayer-core fiber (EMCF) was proposed and experimentally demonstrated. The proposed sensor simply consists of a segment of the EMCF with one end coated with silver film, and a Michelson interferometer is roughly established when light from single-mode fiber incident from the other end. The detected interference patterns, rather clean due to the few-mode property, shift as the liquid level due to strong interaction between high-order modes and measurands through evanescent waves. Both the propagation characteristics and operation principle of such a sensor were demonstrated in detail, and sensitivities of 33.48, 43.35, and 48.93 pm/mm corresponding to liquid indices of 1.333, 1.353, and 1.373 were successfully achieved with a 50-mm EMCF probe, respectively. Moreover, the proposed sensor had the potential to discriminate measurand index after proper calibration.     

蛋白质接枝改性腈纶的水解工艺研究

采用NaOH溶液对腈纶进行水解,表面接枝蛋白质制得改性腈纶。讨论了NaOH浓度、水解温度、水解时间对腈纶接枝效果的影响。结果表明:在水解反应温度80~90℃、NaOH溶液质量分数14%、水解时间15 m in时,改性腈纶接枝率较高。力学性能分析和电镜表面观察表明:在腈纶表面接枝大豆蛋白质,不仅可以赋予纤维表面完整的蛋白质覆盖层,而且还可以较好的弥补纤维因水解而产生的表面损伤和力学性能下降等缺陷。     

光纤数据传输在束管监测系统中的应用

简要介绍了光纤数据传输技术在束管监测系统中的应用，描述了数据光端机的结构、原理等。     

基于分布式光纤温度传感器的高压电力电缆温度在线监测系统

根据分布式光纤温度传感器被测信号的特殊性,在常规微弱信号检测的基础上,提出了一种专门的、针对分布式光纤温度传感器系统的微弱信号检测方案,采用软、硬件结合的方案,能够在强噪声下有效地提取微弱信号,以求得尽可能大的信号噪声比,而所需的器件与设备极为通用,相对成本较低,检测整个过程完成的时间也较短,具有较高的实用性。     

基于CVMD和DBO-SVM的光纤周界安防信号识别方法

为降低光纤周界安防信号中噪声对分类结果的影响,提升信号分类的准确率和运行效率,提出一种融合了相关变分模态分解(Correlation Variational Mode Decomposition, CVMD)、蜣螂算法(Dung Beetle Optimizer, DBO)和支持向量机(Support Vector Machine, SVM)的分类方法。利用CVMD去除原始信号中的噪声分量,并提取去噪后信号的能量、能量熵和峭度作为特征向量。采用DBO算法优化SVM,得到最佳惩罚因子和核函数参数,并构建DBO-SVM分类模型。搭建了基于相位敏感光时域反射(Φ-OTDR)技术的周界安防系统,采集了攀爬、敲击、踩踏和无入侵四类信号。实验结果表明,CVMD-DBO-SVM的分类准确率相比CVMD-PSO-SVM和CVMD-GA-SVM更高,达到了98.75%,同时运行时间更短,综合性能最优。     

一种基于CNN的混叠光谱解调算法及FPGA实现

为了解决光纤布拉格光栅(FBG)传感网络的光谱信号混叠问题,基于现场可编程门阵列(FPGA)提出了一种利用卷积神经网络(CNN)模型的混叠光谱信号解调算法,并对其进行硬件实现与加速。通过对模型参数进行定点数量化,压缩网络模型的存储空间,提高FPGA中DSP资源的利用率;利用循环展开和数组重排等硬件优化方法,提高了系统实时性,确定了算法的并行计算方案。研究结果表明,在100 MHz的时钟下,测试集解调精度为1.19 pm,推理速度为每帧14.96μs,光谱解调速率为60 kHz,对于FBG混叠光谱信号解调具有较高的精度和速率。     

基于DFB激光器的振动传感系统改进PGC解调算法

相位生成载波(Phase Generated Carrier, PGC)解调算法是目前光纤干涉传感领域中重要的解调算法。针对目前PGC解调算法中光强扰动和调制深度影响信号解调准确度的问题,提出了一种改进的PGC解调算法(PGC-Ameliorated),并搭建了基于分布反馈(Distributed Feedback, DFB)激光器的振动传感系统进行实验验证。实验结果表明,当被测振动信号的频率为800 Hz时,该算法信噪比为57 dB,优于微分交叉相乘(Differential and Cross Multiplying, DCM)算法和反正切(Arctan)算法近20 dB。在不同光强下,该算法解调信号幅值波动范围在±0.02 rad;在不同调制深度下,该算法总谐波失真最小为0.61%,信纳比最大为25.9 dB,相比于DCM算法和Arctan算法具有更低的总谐波失真和更高的信纳比。