起重机自重应力对安全评估中应力测试实验结果的影响

应力测试是起重机安全评估中必须进行的一项检测。目前在安全评估工作中常采用应变电测法来采集起重机工作过程中的应力时程数据,由于该方法只能采集到结构由于载荷变化产生的应力,而无法采集到结构因自重产生的应力,导致应力测试无法获取结构的完整应力。利用起重机金属结构自重应力在总应力中占有的权重,分析其对应力测试实验结果的影响大小,试验结果表明在危险截面自重应力大小占总应力大小可达60%,此时不考虑自重应力进行结构安全性的判定是不全面的。可考虑利用仿真技术获取自重应力[1,2],从而使得安全评估应力测试实验结论更加准确。     

基于信息熵—集对分析的煤矿隐患排查治理风险评估模型

以煤矿安全隐患排查治理风险为研究对象，分析隐患排查闭环管理全过程，并基于此建立了隐患排查治理能力纵向评估指标体系，融合熵值法和集对分析理论，建立了煤矿安全隐患排查治理风险纵向评估模型，为企业更好地了解自身隐患排查治理能力及变化发展趋势提供参考，最后进行了实例分析。     

Bend,Twist, and Turn: First Bendable and Malleable Toughened PLA Green Composites

The future of green electronics possessing great strength and toughness proves to be a promising area of research in this technologically advanced society. This work develops the first fully bendable and malleable toughened polylactic acid (PLA) green composite by incorporating a multifunctional polyhydroxybutyrate rubber copolymer filler that acts as an effective nucleating agent to accelerate PLA crystallization and performs as a dynamic plasticizer to generate massive polymer chain movement. The resultant biocomposite exhibits a 24‐fold and 15‐fold increment in both elongation and toughness, respectively, while retaining its elastic modulus at >3 GPa. Mechanism studies show the toughening effect is due to an amalgamation of massive shear yielding, crazing, and nanocavitation in the highly dense PLA matrix. Uniquely distinguished from the typical flexible polymer that stretches and recovers, this biocomposite is the first report of PLA that can be “bend, twist, turn, and fold” at room temperature and exhibit excellent mechanical robustness even after a 180° bend, attributes to the highly interconnected polymer network of innumerable nanocavitation complemented with an extensively unified fibrillar bridge. This unique trait certainly opens up a new horizon to future sustainable green electronics development.     

长管拖车缠绕气瓶纤维层冲击损伤的数字射线检测

采用缠绕气瓶替代钢制无缝气瓶是长管拖车轻量化的重要手段之一,但对于缠绕气瓶缠绕层因冲击造成的内部损伤,目前仍缺少成熟有效的检测手段。采用数字射线检测方法,针对玻璃纤维缠绕层冲击损伤造成的分层和危害较大的纤维断裂进行了试验研究。试验表明,采用数字射线检测能够有效检测最小深度为0.5 mm模拟纤维环向断裂刻槽和0.25 mm的模拟纤维轴向断裂刻槽;此外,还通过试验验证增加补偿块的方式,能极大地改善缠绕层分层部位的一次切向透照成像质量,进而提高检测效率。     

Automatic sorting of fresh tea leaves using vision-based recognition method

Mechanical tea harvesting using plucking machines is highly efficient, but harvested raw fresh tea leaves (FTLs) are always low quality because they contain a mixture of old leaves and leaf debris. To address this problem, this study developed an automatic sorting machine with a vision-based recognition method to extract high-quality FTLs from plucked raw FTLs. First, the raw FTLs were separated one by one after passing through three sequential conveyor belts with increasing speed, and were then classified into four grades using a vision-based recognition method. Finally, the FTLs were blown by air nozzles into collection boxes according to their specific grade. In the recognition method, the shape-based feature of each FTL is extracted by establishing the FTL's topological structure, and the support vector machine model is used for classification. The experimental results revealed that the vision-based recognition method performed satisfactorily with an accuracy rate of 94% and precision rate of 85%. The sorting success rate and efficiency of the automatic sorting machine were approximately 80% and 15 kg hr⁻¹, respectively. The results indicate that the developed automatic sorting machine can effectively and efficiently sort raw FTLs, which may improve the profitability and promote the automation of tea processing.     

A Bernoulli Optimal Kalman Filter for a Multi-sensor System with Random Data Packet Dropouts and Delays

Wireless Personal Communications - A distributed filtering method is proposed to solve the packet dropouts and delays in a multi-sensor wireless sensor network. For an asynchronous multi-sensor...     

某原生鳞片石墨矿石浮选试验研究

某原生鳞片石墨矿石固定碳含量为6.81%，大鳞片石墨（+100目）固定碳含量为9082%，占原矿的产率为317%，固定碳分布率为4228%。为确定该矿石的开发利用工艺，以棒磨机为磨矿设备，进行了开发利用工艺研究。结果表明，矿石经1粗8精1扫9阶段磨选流程处理，获得了固定碳含量为9037%、回收率为9740%的精矿；精矿中+100目固定碳含量达9409%，固定碳回收率为1092%，对照原矿中+100目大鳞片石墨固定碳分布率，可得出精矿+100目大鳞片保护率为2583%。     

一种改进的DME/DME导航台优化算法

航路飞行阶段的导航台选择是区域导航(RNAV)运行的主要环节。在采用 DME/DME 导航方式的 RNAV 选台过程中，基于最小定位误差标准差的选择方法是一种传统的选台算法。论文首先分析了基于最小定位误差选择算法在航路飞行阶段的 DME 台站选择性能，然后针对这种算法中导航台切换频繁的问题，提出了一种改进的 DME/DME 导航台优选算法，并通过对比两种选台算法在 A593 航路中的选台结果和导航台切换次数，对区域导航性能进行仿真评估。仿真结果表明，导航台优选算法能够自动选出一对具有更高精度的导航台，并且满足 DME/DME 区域导航要求，在一定程度上减少了导航台的频繁切换，提高了定位结果的连续性。     

New insight to the oxidation kinetics of silicon-containing steel at high temperature

This study investigated the oxidation kinetics of silicon-containing steel at 1150–1300 °C using a Simultaneous Thermal Analyzer under atmospheric conditions similar to that of an industry reheating furnace. There is a critical time point for the oxidation kinetics at an oxygen concentration of 4·0 vol.-%., following which the oxidation rate constant increases with the increasing oxidation temperature. The model coefficient A in the kinetic oxidation equation was found to be constant. However, before the critical time point, the oxidation rate constant remained unchanged; the model coefficient A decreased with the increasing temperature. Therefore, the kinetic model of silicon-containing steel for isothermal oxidation was observed to be a modified one on the basis of the experimental data. In addition, the critical time point was prolonged with the increasing isothermal oxidation temperature. Moreover, the oxidation activation energy of the tested silicon-containing steel was 366·16 kJ mol^?1.