苎麻落麻纤维的PVC包覆处理研究

本文研究了PVC包覆处理对苎麻落麻纤维的吸水性、纤维表面状态、纤维单丝强度等的影响.与未处理的落麻纤维增强PP复合材料比较,包覆处理后落麻纤维增强PP复合材料的拉伸和弯曲强度较处理前提高了20%.     

基于模糊PID的永磁同步电机矢量控制系统

针对传统PID在永磁同步电机矢量控制系统中存在转矩脉动较大的问题,提出基于模糊PID的永磁同步电机矢量控制方法,实现系统PID参数在线整定。首先,建立PMSM的数学模型;其次,设计参数模糊自整定PID控制器,并进行参数模糊化;最后,在Matlab/Simulink中搭建模型进行仿真。仿真结果表明:在PMSM调速系统中,模糊PID控制器具有更好的鲁棒性。     

AlTiB纳米细化剂对ZL101合金力学及阻尼性能的影响

利用原位自生法合成的纳米晶粒细化剂,成功的克服了颗粒团聚,有效的抑制了颗粒的沉降。本试验用其对ZL101合金的细化行为进行了研究。试验结果表明:加入量为0.2%(质量分数)时,纳米晶粒细化剂可有效地细化初晶α-Al,改善共晶硅的形貌及尺寸,细化后铸态α-Al枝晶尺寸由44μm减小至23μm;经T6处理的细化后试样其拉伸断口为韧窝断口,且韧窝明显多于未细化试样;加入细化剂后保温30min,与未细化合金相比,抗拉强度提高了28MPa,屈服强度提高了22MPa,延伸率增加了2.6%;同时细化后合金的阻尼性能较未细化合金有了大幅提高,0.5Hz时细化后室温阻尼性能Q-1=13×10-3,较之细化前Q-1提高了5×10-3。     

基于MMP三角曲面测地线算法研究

测地线的计算在计算机图形处理等方面有着广泛的应用。采用基于MMP（Mitchell, Mount,Papadimitrious）方法,实现了三角曲面上测地线的计算,修正了Vitaly Surazhsky等采用的测地线算法中的误差。该方法首先在窗口传播上摒弃了原有的近似结束条件,采用光源射线法。特别在窗口相交处理过程中采用多种情况的分层枚举,补充了Vitaly Surazhsky讲述的单一情况,窗函数多交点时的测地线偏差情况,并且提供简洁的回溯方法。实验结果表明,该方法所需时间相当于Vitaly Surazhsky算法,可以代替Vitaly Surazhsky采用的算法。     

基于开放光路FLRDS技术的C2H2和C2H6气体检测

磷酸铁锂电池因其较长的使用寿命和环保性,被广泛应用于储能系统。然而,近年来,储能电站安全事故频发,给电网稳定运行造成了威胁。在热失控过程中,磷酸铁锂电池会产生C₂H₂和C₂H₆等可燃气体,是造成燃烧、爆炸等灾害的重要原因。因此,实时准确监测储能预制舱内C₂H₂和C₂H₆等可燃气体的浓度是保障其安全稳定运行的关键。文中提出一种基于开放光路光纤环形腔衰荡光谱(fiber loop ring-down spectroscopy,FLRDS)技术的气体检测方法,可实现自由空间内微量气体在线监测。对梯度折射率(gradient index,GRIN)透镜的空间光耦合光学损耗进行理论和实验分析,建立插入损耗为0.95 dB的开放光路FLRDS气体检测系统。根据C₂H₂和C₂H₆红外光谱特性,开展激光光源性能测试。模拟开放空间气体环境研究了C₂H₂和C₂H₆的气体浓度检测方法,结果表明,该系统具有较好的稳定性,N₂背景下测量信号标准偏差S仅为平均值的0.156%。衰荡时间与气体浓度之间存在良好的线性关系,C₂H₂线性拟合度R²为0.998 32,C₂H₆线性拟合度R²为0.994 72。反演计算结果表明,C₂H₂和C₂H₆的最大相对误差分别为3.215%和4.72%,最大绝对误差分别为16.86 μL/L和12.74 μL/L,测量精度良好。     

Ultra-Thin Single-Particle-Layer Sodium Beta-Alumina-Based Composite Polymer Electrolyte Membrane for Sodium-Metal Batteries

Inorganic/organic composite polymer electrolytes (CPEs) with good flexibility and electrode contact have been pursued for solid−state sodium-metal batteries. However, the application of CPEs for high energy density solid−state sodium-metal batteries is still limited by the low Na⁺ conductivity, large thickness, and low ion transference number. Herein, an ultra-thin single-particle-layer (UTSPL) composite polymer electrolyte membrane with a thickness of ≈20 µm straddled by a sodium beta−alumina ceramic electrolyte (SBACE) is presented. A ceramic Na⁺-ion electrolyte that bridges or percolates across an ultra-thin and flexible polymer membrane provides: 1) the strength and flexibility from the polymer membrane, 2) excellent electrolyte/electrode interfacial contact, and 3) a percolation path for Na⁺-ion transfer. Owing to this novel design, the obtained UTSPL-35SBACE membrane exhibits a high Na⁺-ion conductivity of 0.19 mS cm⁻¹ and a transference number of 0.91 at room temperature, contributing to long−term cycling stability of symmetric sodium cells with a small overpotential. The assembled quasi-solid-state cell with the as−prepared UTSPL-35SBACE membrane displays superior cycling performance with a discharge capacity of 105 mAh g⁻¹ at 0.5 °C rate after 100 cycles and excellent rate performance (82 mAh g⁻¹ at 5 °C rate) at room temperature with the potassium manganese hexacyanoferrate (KMHCF)@CNTs/CNFs cathode, where KMHCF refers to potassium manganese hexacyanoferrate.     

基于全绕组拓扑结构的移相变压器建模及应用

针对现有移相变压器稳态数学模型不能适用于内外部端口故障电气量计算的问题,基于相分量法建立其全相数学模型。以对称双芯式移相变压器为例,根据其电磁约束关系,推导出节点电压与电流间的关系式,再通过绕组拓扑结构对节点进行合并及接地处理,得到移相变压器的导纳矩阵和全相等效电路模型,并对矩阵进行修正以适应不同故障情况下的计算。最后,利用该模型分析了对称双芯式移相变压器在不同相序网络中的运行特性。对比仿真结果可知,所建全相数学模型能够准确计算各类端口故障下的电气量,所得等效相序电路可以有效反映不同序分量下移相变压器的运行特性。     

面向全景视频的距离测量方法

从真实场景的图像中测量距离已成为计算机视觉和图象处理的研究热点.现有的基于单幅透视图像的测量方法,其可测量范围受限于相机视域FOV(Field-of-View).通过构建待测场景的全景图,扩展了待测场景的可测量范围,但是其测量范围受限于单个固定的相机拍摄点,只能测量在拍摄点可见的全方位场景.通过扩展基于全景图的距离测量方法,提出基于场景全景视频的距离测量方法,测量范围不再局限于单个固定的拍摄点.通过基于此方法开发的软件原型PVMeasure,用户可以在场景的全景视频中进行交互式测量.真实场景测量实验结果表明,方法具有良好的精确度,可满足大多数场合下的测量精度要求.     

Analysis and improvement of the quantum image matching

We investigate the quantum image matching algorithm proposed by Jiang et al. (Quantum Inf Process 15(9):3543–3572, 2016). Although the complexity of this algorithm is much better than the classical exhaustive algorithm, there may be an error in it: After matching the area between two images, only the pixel at the upper left corner of the matched area played part in following steps. That is to say, the paper only matched one pixel, instead of an area. If more than one pixels in the big image are the same as the one at the upper left corner of the small image, the algorithm will randomly measure one of them, which causes the error. In this paper, an improved version is presented which takes full advantage of the whole matched area to locate a small image in a big image. The theoretical analysis indicates that the network complexity is higher than the previous algorithm, but it is still far lower than the classical algorithm. Hence, this algorithm is still efficient.