两相流测量技术研究

两相流测量技术对理解与预测流体动力学、过程操作与控制、分析与优化流体控制装置等都有重大意义.本文根据在测量过程中是否对流体产生干扰将其分为干扰式和非干扰式测量技术,并从两个方面综述了现有的技术手段和工作原理,总结了各类测量技术的可测量参数类型、应用限制、时间和空间分辨率等.此外,本文还分析了两相流测量的难点与未来发展方向,旨在为复杂工业过程中的过程参数检测提供一定的参考和指引.     

采场动压分布特征及高效瓦斯抽放技术研究

河南地区大部分煤矿所采煤层均属于三软煤层，煤层透气性差，瓦斯治理困难。现阶段河南区域煤与瓦斯突出矿井主要采用穿层钻孔及开采保护层作为区域防突措施，而低瓦斯矿井或临突矿井（低瓦斯矿井与煤与瓦斯突出矿井相邻）存在高瓦斯区时，仅仅用风排瓦斯很难达到治理效果，近些年煤矿发生瓦斯事故多数为低瓦斯矿井，所以低瓦斯矿井和临突矿井存在高瓦斯区域的工作面回采期间瓦斯治理尤为重要。根据采场“竖三带”和“横三区”理论，利用钻孔抽放效果考察法和工作突出预测指标法研究了采场围岩动压分布特征。在此基础上，通过优化动压区抽放钻孔设计，提高了瓦斯抽放效果。瓦斯抽放量提高了1.8倍，有效降低了工作面生产期间的风排瓦斯量，提高了生产效率，保证了矿井安全生产。     

Detecting Cysteine in Bioimaging with a Near-Infrared Probe Based on a Novel Fluorescence Quenching Mechanism

Near-infrared (NIR) fluorescent probes are very significant for detecting cysteine in biological systems. Herein, we report a highly selective and sensitive NIR turn-on fluorescent probe (BDP-NIR) based on BODIPY with large Stokes shift (105 nm) for detecting Cys. We clarified the sensing mechanism based on the different thiol-induced S_NAr substitution/rearrangement reaction of the probe with cysteine and homocysteine/glutathione, which leads to the corresponding amino- and thiol-BODIPY dyes with distinct photophysical properties. Moreover, a novel mechanism of fluorescence quenching was demonstrated by density functional theory calculation. The reason for the fluorescence quenching of the probe might be intersystem crossing (from singlet to triplet excited state). Moreover, BDP-NIR had a high linear dynamic range of 0–500 μM, which was promising for detecting cysteine quantificationally. Significantly, BDP-NIR was capable of sensing endogenous cysteine in living cells and in vivo.     

氮对镀锡钢板的强化作用

通过物理化学相分析研究了3种不同氮含量镀锡板中固溶氮、化合氮的含量,结合相关理论计算了镀锡板中氮的固溶强化和析出强化对强度的贡献。结果表明:随着总氮含量从0.0021%提高到0.0103%,钢中化合氮含量下降10.1%,但是AlN析出相中的氮的含量上升10.7%。氮在提高镀锡板强度方面发挥重要作用,钢中总氮含量提高0.0082%,其对屈服强度的贡献值提升约30 MPa。     

柔性夹具技术研究

为适应快速多变的市场需求,制造企业需要设计并应用柔性夹具。介绍了柔性夹具的发展及特点,给出了柔性夹具的设计依据,并从零件结构及工艺、组成元件确定、强度与精度保证等方面分析了柔性夹具的设计方法。     

Data envelopment analysis based on team reasoning

Existing approaches to data envelopment analysis focus mainly on the derivation of the efficiency of the individual decision‐making unit (DMU) or on the calculation of the weights of multiple inputs or outputs, but pay little attention to the team interest of all the DMUs. Motivated by the idea of team reasoning, in which the benefit of the team is of higher importance than that of each individual, this paper considers all the DMUs as a team and introduces the team indexes including the overall efficiencies, variance, boundaries of all the DMUs, and relationships between DMUs. Several models are first developed to estimate values of the team indexes based on which decision makers can provide their preferences regarding them. Then, models are established to obtain the interval efficiencies of individual DMUs under the condition that the team indexes are satisfied. Several examples are given to illustrate the proposed approaches and verify their applicability.