Boron Nitride Nanosheets Strengthened PVA/Borax Hydrogels with Highly Efficient Self-Healing and Rapid pH-Driven Shape Memory Effect

Self-healing hydrogels often possess poor mechanical properties which largely limits their applications in many fields. In this work, boron nitride nanosheets are introduced into a network of the poly(vinyl alcohol)/borax (PVA/borax) hydrogels to enhance the mechanical properties of the hydrogel without compromising the self-healing abilities. The obtained hydrogels exhibit excellent mechanical properties with a tensile strength of 0.410 ± 0.007 MPa, an elongation at break of 1712%, a Young's Modulus of 0.860 ± 0.023 MPa, and a toughness of 3.860 ± 0.075 MJ m⁻³. In addition, the self-healing efficiency of the hydrogels is higher than 90% within 10 min at room temperature. Benefiting from the excellent self-healing properties, the shapeability of the hydrogel fragments is observed using different molds. In addition, the hydrogels display rapid pH-driven shape memory effects and can recover to their original shape within 260 s. Overall, this work provides a new approach to hydrogels with integrated excellent mechanical properties, self-healing abilities, and rapid pH-driven shape memory effects.     

Effect of welding speed and electrode extension on the approximate entropy of welding current in short-circuiting GMAW

Based on the phase space reconstruction of welding current in short-circuiting transfer arc welding under carbon dioxide, the approximate entropy of welding current and its standard deviation have been calculated and analyzed at different welding speeds and different electrode extensions respectively. The experimental and calculated results show that at a certain arc voltage, wire feeding rate and gas flow rate, welding speed and electrode extension have significant effects not only on the approximate entropy of welding current, but also on the stability of welding process. Further analysis proves that when the welding speed and electrode extension are in an appropriate range respectively, the welding current approximate entropy attains maximum and its standard deviation minimum. Just under such circumstances, the welding process is in the most stable state.     

天津市居住小区排水管噪声主观评价调查

通过对三个不同居住小区住户的入户访谈及问卷调查,了解排水管的使用性能及产生的噪声对住户的影响情况,探索合理的排水系统设计方案.要满足现代住宅对卫生间排水管敷设方式的基本要求,卫生间、厨房采用同层排水方式无疑是一种解决问题的好办法.     

基于MATLAB GUI图像处理仿真系统的设计

文中简述了图像处理的各种基本功能及原理,并通过MATLAB的GUI图形用户开发工具,设计了一款基于MATLAB的图像处理仿真系统,该系统包含图像处理的一些常见且实用的功能,如空域滤波中的高斯滤波、中值滤波、均值滤波,频域滤波中的高低通滤波、带阻滤波、同态滤波,还有边缘算子、灰度、二值化、简单直方图等功能。由于MATLAB GUI操作简单,便于扩展,减少了代码编写量,且人机交互性强,图像处理部分功能参数可调,因此在教学、实验、工程中具有较高的应用价值。     

分离式长电偶极子稀疏阵列的相干信号多维参数联合估计

由长电偶极子或大磁环组成的大尺寸电磁矢量传感器(ElectroMagnetic Vector Sensor,EMVS)比小尺寸EMVS辐射效率更高,研究其参数估计算法有助于推动EMVS的实装化应用.该文针对分离式长电偶极子稀疏阵列相干目标参数估计问题,提出高精度无模糊的多维参数闭式解算法.首先利用空域旋转不变性和单个矢量传感器内部属性得到方向余弦的高精度周期性模糊估计值,然后借助单个矢量传感器导向矢量推导出2维波达方向粗估计值,最后通过解模糊得到高精度无模糊的多维参数估计值.该方法规避了传统极化平滑算法的极化信息损失和迭代搜索过程,且能实现参数自动配对.计算机仿真结果表明了所提算法在分离式长电偶极子线阵中解相干的有效性.     

分布式环境下的关系型XML查询优化

XML数据查询是XML相关技术中一项的重要技术.与普通的XML查询方法不同,关系型XML查询不需要路径表达式,给查询者带来了便利,然而与此同时也带来了计算量增大的问题.针对该问题,给出了一种在分布式环境下基于部分求值的解决方案,并提出了优化算法.实验表明,该算法不仅能提高关系型XML查询的效率,而且能提高查询的适应性,使得查询可以在更为苛刻的条件下进行.     

多代表点自约束的模糊迁移聚类

以往建立在模糊C均值(fuzzyC-means, FCM)框架下利用源域虚拟簇中心作为迁移知识的迁移聚类算法容易受到离群点和噪声的干扰,且单个簇中心不足以描述簇结构。针对此问题,提出多代表点自约束的模糊迁移聚类算法,该算法引入样本代表权重机制为簇中每个样本分配代表权重来刻画簇结构,这种机制能更好的刻画簇结构,对离群点和噪声有较好的抑制作用;同时利用源域样本,重构目标域簇结构,并以此作为迁移知识进行目标域样本聚类,相对于利用单中心作为迁移知识来说,整体重构后的目标域簇结构所包含的迁移知识量更为丰富。试验结果表明。在人工数据集和真实数据集上,所提出的聚类算法相比对比算法, NMI和ARI最高提升了0.674 5和0.608 4。说明在迁移环境下,以代表点自约束作为知识迁移规则,所提出的聚类算法具有一定的聚类效果。     

基于Lyapunov指数刻画短路过渡GMAW的稳定性

基于不同焊接速度下短路过渡熔化极二氧化碳气体保护电弧焊的焊接电流时间序列,利用Takens相空间重构技术和Lyapunov指数的Wolf算法,分析评估了焊接系统的最大Lyapunov指数。结果表明,当焊接过程的稳定程度较高时,最大Lyapunov指数较小;而当系统处于不稳定状态、状态变动迅速时,最大Lyapunov指数相应较大;因此最大Lyapunov指数和焊接过程稳定性成负相关关系,可以将其作为刻画短路过渡熔化极二氧化碳气体保护电弧焊稳定性的一种新的量化指标。