基于Web异步加载的产品结构树设计及其软件实现

针对装备制造业产品信息管理日益发展的需求,提出了一种基于Web实现产品结构树异步加载的方法,并且实现了产品信息查询、产品数字模型信息的动态浏览等功能,为企业产品推广和信息技术的应用提供了有效的平台。     

产品拆卸过程的信息管理系统

分析了产品拆御过程中的信息流,以及这些信息的综合应用,从系统集成的角度,设计了该信息管理系统的体系结构并加以软件实现,为产品的回收再生和全生命周期提供数据基础。     

基于Web可集成的车间作业管理系统的设计与实现

基于解决工厂管理和制造活动中的信息管理真空带,设计并实现一种基于Web可集成的车间作业管理系统,解决企业信息化过程中普遍存在的信息断层问题,使企业真正达到工业综合自动化的目标。     

Emerging and Future Possible Strategies for Enhancing 1D Inorganic Nanomaterials‐Based Electrical Sensors towards Explosives Vapors Detection

Due to the necessity for maintaining homeland security and antiterrorism, a greatly growing demand exists for sensors that can detect explosives vapors. One‐dimensional inorganic nanomaterials represent one kind of the most promising materials for sensor fabrication due to the large surface‐to‐volume ratios, quantum confinement, high reaction activities, excellent electrical, optical, and chemical properties, unique anisotropic morphologies, and abundant structure tuning capabilities. All of these properties make the 1D inorganic nanomaterials ideal nanoscale building blocks in explosives vapors sensing applications. However, due to the big challenges, such as manufacturing technique with high cost and energy consumption, the difficulty of the assembling and patterning of 1D inorganic nanomaterials into functional devices, the weak repeatability for surface modification which hinder the development of sensors with high sensitivity, selectivity, low power consumption, simple structure, fast response and recovery procedures, high reliability and biocompatibility, more advanced strategies are needed for enhancing 1D‐inorganic‐nanomaterials‐based electrical sensors towards explosives vapors detection. In this article, a comprehensive review of the recent progresses on emerging and future possible strategies for enhancing 1D‐inorganic‐nanomaterials‐based electrical sensors towards explosives vapors detection is provided.     

Contactless and Rapid Discrimination of Improvised Explosives Realized by Mn2+ Doping Tailored ZnS Nanocrystals

In order to sensitively, selectively, and rapidly detect the constituents relevant to improvised explosive devices (IEDs), the sensing properties of ZnS nanocrystals (NCs) are regulated by tailoring the doping level of Mn²⁺. The responses of the sensors fabricated by ZnS NCs with different Mn‐doping levels (Mn:ZnS) toward the constituents, such as sulphur powder and black powder, generally increases first and then decreases with the increase of the concentration of doped Mn²⁺, and reaches the climate with an atomic ratio of 2.23% at room temperature. The sensory array based on eight sensors of Mn:ZnS NCs can realize the detection of two typical military explosives and six constituents relevant to IEDs within 7 s and can recover in 19 s. Furthermore, the fingerprinting of the constituents is achieved by pattern recognizing the inherent kinetics and thermodynamics of interaction between the sensory array and the constituents. Thus, a simple chemiresistive sensing strategy based on semiconductor NCs which can rapidly, supersensitively, and discriminatively detect the constituents relevant to IEDs is explored for the first time.     

A High‐Performance Nitro‐Explosives Schottky Sensor Boosted by Interface Modulation

A high‐performance Schottky sensor boosted by interface modulation is fabricated for the detection of trace nitro‐explosives vapors. The interface modulation strategy results in a silicon nanowires (SiNWs) array/TiO₂/reduced graphene oxide (rGO) sensor with sensitive and selective response toward nitro‐explosives vapors. The response of the SiNWs array/TiO₂/rGO sensor toward nitro‐explosives vapors, such as 9 ppb 2,4,6‐trinitrotoluene, 4.9 ppt hexogen, and 0.25 ppq octagon, is boosted by 2.4, 7.5, and 5 times with the insertion of TiO₂. Superior selectivity is shown even compared with interfering gases of 10 ppm. Such good sensing performance can be attributed to the good sensing performance of the Schottky heterojunction‐based sensor, the Schottky barrier height modulation with the insertion of TiO₂, SiNWs array structure enhanced diffusion, and TiO₂ nanoparticles enhanced adsorption. This is believed to be the first Schottky heterojunction‐based sensor for nitro‐explosives vapors detection. This work would open a new way to develop highly sensitive and selective sensors.     

高性能激光诱导石墨烯压力传感器的研究

为了保证在低成本、易制备的前提下提高激光诱导石墨烯压力传感器的性能,设计了一种石墨烯压力传感器的放大结构。表征了激光诱导石墨烯压力传感器的表面结构,分析了表面多孔泡沫结构对压阻效应的影响,采用COMSOL软件对传感器放大结构的受力情况进行仿真分析,得到在外界压力下石墨烯层的受力情况。选用3D打印方法制备树脂材料放大结构基底,在低成本的同时兼顾了轻质、高精度、高机械强度等性能。测试结果表明,压强在5～20 kPa范围内时,该放大结构的灵敏度较无放大结构提高了约43%。     

计算机网络路由研究综述

本文主要是通过相关的网络路由知识对其进一步探析和研究,并且在计算机网络的共享资源以及传输数据传等方面剖析它的重要意义。此外,也针对网络路由的一些计算法的分类、基础知识以及设计等一些问题进行研究,从而也促使广大用户可以更为详细的了解计算机网络路由的应用,以全面实现计算机网络化起到了非常关键的作用。     

润滑脂铁谱分析的研究与应用

本文介绍了一种新的分离润滑脂中磨粒的方法，并对利用分析式铁谱仪和旋转式铁谱仪所制得的谱片进行了比较，指出二者相结合起来的方法是最有效的分析方法，介绍了它们的操作步骤，并通过对大型滚动轴承润滑脂的铁谱分析证明了该方法的有效性。