乳液原位加氢制备氢化丁腈橡胶的热氧老化性能及寿命（英文）

使用乳液原位加氢法选择性氢化丁腈胶乳制备了氢化丁腈橡胶(HNBR),对其热氧老化性能进行了研究。主要运用热重分析(TGA)并结合Flynn-WallOzawa法计算了热空气降解活化能,同时采用傅立叶变换衰减全反射红外光谱分析跟踪考察了HNBR在热氧老化过程中微观结构的变化。此外,通过对HNBR的物理机械性能的跟踪研究,计算了其老化温度系数及老化寿命与老化温度之间的关系,为HNBR在耐热领域中的应用提供理论依据。     

Restructuring bank networks after mergers and acquisitions: A capacitated delocation model for closing and resizing branches

During restructuring processes, due to mergers and acquisitions, banks frequently face the problem of having redundant branches competing in the same market. In this work, we introduce a new Capacitated Branch Restructuring Model which extends the available literature in delocation models. It considers both closing down and long term operations׳ costs, and addresses the problem of resizing open branches in order to maintain a constant service level. We consider, as well, the presence of competitors and allow for ceding market share whenever the restructuring costs are prohibitively expensive.We test our model in a real life scenario, obtaining a reduction of about 40% of the network size, and annual savings over 45% in operation costs from the second year on. We finally perform a sensitivity analysis on critical parameters. This analysis shows that the final design of the network depends on certain strategic decisions concerning the redundancy of the branches, as well as their proximity to the demand nodes and to the competitor׳s branches. At the same time, this design is quite robust to changes in the parameters associated with the adjustments on service capacity and with the market reaction.     

Combination of nuclear magnetic resonance spectroscopy and nonlinear methods to analyze the copolymerization of phosphonic acid derivatives

We demonstrate in this study that the combination of modern inline monitoring methods [here: inline nuclear magnetic resonance (NMR)] with simulations gains more exact and profound kinetic results than previously used methods like linearization without that combination. The ¹H-NMR spectroscopic data (more than 100 data points) are used to construct the copolymerization diagram. The reactivity ratios are obtained applying the van Herks nonlinear least square method. The examination of the radical copolymerization of 2-hydroxyethyl methacrylate (HEMA) with (2-{[2-(ethoxycarbonyl)prop-2-en-1-yl]oxy}ethyl) phosphonic acid (ECPPA) as important adhesive monomer used in dentistry yields reactivity ratios of r_HEMA = 1.83; r_ECPPA = 0.42. The copolymerization diagram reflects nonideal, non-azeotropic copolymerization. The sequence distribution of the obtained by Monte Carlo simulation indicates the generation of statistical copolymers. As an important finding, it is demonstrated that the repeating units responsible for etching and adhesion are arranged over the whole polymer chain, which is necessary to achieve proper functionality. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 48256.     

改性Kevlar纳米纤维对天然橡胶耐溶剂性能和交联密度的影响（英文）

制备了改性Kevlar纳米纤维(m-KNFs)填充天然橡胶硫化胶,研究了不同用量的m-KNFs对天然橡胶耐溶剂性能和交联密度的影响。结果表明,m-KNFs可有效增强天然橡胶的耐溶剂性能,当m-KNFs的用量为7份时,天然橡胶的溶剂吸附常数比未填充时降低了11. 7%。同时,天然橡胶的交联密度随着m-KNFs用量的增加而增大。     

Prediction of process parameters of water-assisted injection molding based on inverse radial basis function neural network

Because of the introduction of new processing parameters in water-assisted injection molding (WAIM), processes control has become more difficult. First, design of experiment (DOE) was carried out by using optimized Latin hypercubes (Opt LHS). On the basis of this, computational fluid dynamics (CFD) method was used to simulate and calculate hollowed core ratios and wall thickness differences of cooling water pipe at different positions. Then inverse radial basis function (RBF) neural network model reflecting the fitting relationship between processing parameters and molding quality was established, and accuracy of the model was detected by cross validation. Finally, expected molding quality was applied to predict processing parameters, and the obtained molding quality under the predicted processing parameters was verified by computer aided engineering (CAE) simulation and experimental methods. The results showed that mean relative precisions of processing parameters such as melt temperature, delay time, short shot size, water pressure, and mold temperature for inverse RBF model were 98.6%, 93.6%, 98.5%, 93.9%, and 97.9%, respectively, which met the accuracy requirements. Furthermore, compared with expected values of hollowed core ratios and wall thickness differences, the average errors of CAE and experiment were 2.3% and 4.9%, respectively.     

油基钻井液的封堵性能研究与应用

在涠洲12-1北油田一期工程中使用油基钻井液后事故率明显降低,但仍未能彻底解决涠二段硬脆性泥页岩井壁稳定性问题。对进一步加强油基钻井液的封堵能力进行了室内研究。通过在油基钻井液中引入超微细颗粒材料、纤维材料、变形材料和粘弹性材料,可大幅度提高其封堵能力。在涠洲12-1北油田二期工程中应用了加强封堵能力的油基钻井液,结果钻井施工非常顺利,几乎无井下复杂事故。室内评价及二期工程实践结果表明,增强油基钻井液的封堵能力对保持硬脆性泥页岩井壁稳定至关重要。     

超短波水文自动测报系统的抗干扰方法

介绍集中解决超短波水文自动测报系统抗干扰问题的方法，重点推荐一种空腔窄带滤波器。     

密码理论算法综述

概要介绍了密码理论算法的发展现状，重点讨论了密码算法中的布尔函数，最后总结了各种密码体制的应用。     

丙烯酸/α-甲基丙烯酸/丙烯酰胺共聚物智能水凝胶的合成及评价

由丙烯酸（AA）、α-甲基丙烯酸（MAA）和丙烯酰胺（AM）合成了具有很好DH敏感性和一定温度敏感性的智能水凝胶，考察了合成温度、丙烯酰胺、交联剂和引发剂用量对制备的水凝胶溶胀性能的影响。结果表明，在60℃下，单体从和MAA用量分别为100mmol和75mmol时，单体AM、交联剂和引发剂用量分别为反应物总质量的32．8％、0．2％和0．4％时，制备的水凝胶溶胀性能最好。考察了介质的离子浓度、pH值和温度对水凝胶溶胀比的影响，结果表明，离子浓度越大，水凝胶的溶胀比越小；水凝胶具有一定的DH可逆性。