Dehydration of tetrahydrofuran by pervaporation using crosslinked PVA/PEI blend membranes

Dense blend membranes were prepared by blending hydrophilic polymers poly(vinyl alcohol) (PVA) and poly(ethyleneimine) (PEI), which were then crosslinked by glutaraldehyde (GA) in a mixture of solvents under the catalysis of hydrochloric acid (HCl) for the dehydration of tetrahydrofuran (THF) by pervaporation. The effect of experimental parameters such as feed water concentration, permeate pressure, and membrane thicknesses on permeate parameters, i.e., flux and selectivity were determined with feed water concentration less than 40 wt %. The membranes were found to have good potential for breaking the azeotrope of 94 wt % THF with a flux of 1.072 and 0.376 kg/m² h for plane PVA/PEI and crosslinked PVA/PEI blend membrane, which exhibited high selectivity of 156 and 579 respectively. Selectivity was found to improve with decreasing feed water concentration and increasing membrane thickness, whereas flux decreased correspondingly. High permeate pressure causes a reduction in both flux and selectivity. These effects were clearly elucidated with the aid of the known relationship among plasticization effect, degree of swelling, permeate pressure, and feed water concentration. These blend membranes were also subjected to sorption studies to evaluate the extent of interaction and degree of swelling in pure as well as binary feed mixtures. Further ion exchange capacity studies were carried out for all the crosslinked and uncrosslinked membranes to determine the total number of interacting groups present in the membranes. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 102: 1152–1161, 2006     

改进的GrabCut方法在舌诊系统中的应用

数字舌象图片的正确分割是实现计算机中医舌诊自动化系统的重要前提,为了高效而准确地分割出舌象,提出了一种基于四叉树与GrabCut的舌象分割方法.该方法首先利用四叉树分解对采集的舌象初分割,然后用相似区域的颜色均值优化GrabCut算法中高斯混合模型参数,最终完成舌象分割.实验结果表明：该算法使得舌象分割效率大大提高,具有很好的实用性.     

混合估计多模粒子滤波的机动弱小目标检测前跟踪算法

针对低信噪比条件下的机动小目标实时检测与跟踪困难的问题, 提出一种基于混合估计多模粒子滤波的检测前跟踪改进算法. 首先根据前一时刻所采用的模型状态及其转移概率等先验信息实现当前时刻的模型采样; 然后在充分考虑当前量测下实现当前的粒子预测, 采用一种序贯重要性平滑重采样策略, 在不增加计算量的前提下, 改善了粒子多样性衰退的问题; 最后通过新的粒子集完成对模型和状态的合理估计与目标检测. 仿真结果验证了该方法的检测与跟踪性能优于传统的多模粒子滤波方法.

     

20%单氰乳剂剂型研究

本文所叙述的单氰乳剂，是一种新的复配农药制剂。它不仅增效作用显著，对为害农作物的蚜虫和红蜘蛛有很强的杀灭作用；而且其剂型独特，为国内尚不多见的水包油型的复配农药新制剂－微乳剂。该制剂生产工艺简单，产品性能稳定，常温贮存一年，有效成分分解率低于１．５％；在６０℃至－５℃范围内，其产品均为均相透明的液体，且乳化性能十分优良。目前该品种已取得农药登记，正式投产。     

CO2/R170混合物作为复叠式制冷系统低温环路制冷剂的性能

针对CO2/R170混合物在复叠式制冷系统低温环路使用的工况，建立了固液平衡和汽液平衡的数学模型，决定了保证混合物在较低温度下不结晶的配比。在一定的配比范围内对混合物进行了循环性能和可燃性分析。研究了混合物配比对循环性能参数和可燃性的影响，以及中间温度在高温环路使用R290、低温环路使用CO2/R170混合物时，复叠式制冷系统整体制冷系数（COP）的变化趋势。研究表明，这种混合物适宜作为复叠式制冷系统低温环路的制冷剂。     

Combustion of a gasoline-hydrogen-air mixture in a reciprocating internal combustion engine cylinder and determining the optimum gasoline-hydrogen ratio

This paper reports results of an analysis of experimental data on the combustion of a gasoline-hydrogen-air mixture in a reciprocating internal combustion engine cylinder. The completeness of combustion of the mixture is shown to depend on the amount of hydrogen in the fuel mixture and the composition and physicochemical properties of the mixture. In particular, the conditions of addition of hydrogen to the gasoline-air mixture with active chemical action on the combustion process and the action of hydrogen as an additional fuel component are determined. A dimensionless universal relation is proposed that allows one to uniquely determine the initial composition of the fuel mixture (hydrogen to gasoline ratio) to accomplish combustion of the fuel mixture at the lean combustion limit. __________ Translated from Fizika Goreniya i Vzryva, Vol. 43, No. 4, pp. 8–14, July–August, 2007.     

利用DD混剂合成丙烯酸-3-氯-2-丙烯酯

为了综合利用DD混剂(1,3-二氯丙烯和1,2-二氯丙烷的混合物),以工业副产品DD混剂为主要原料,使1,3-二氯丙烯与丙烯酸、氢氧化钠反应,合成了丙烯酸-3-氯-2-丙烯酯并分离出1,2-二氯丙烷,并确定了适宜的工艺条件。     

溶液共混法制备高强度淀粉基完全生物降解塑料薄膜

利用一步溶液共混法，将预糊化的淀粉糊与PvA溶液共混，用乙二醛进行交联，制备淀粉／聚乙烯醇（PVA）完全生物降解塑料薄膜。研究不同乙二醛和甘油的用量对薄膜性能的影响。薄膜的力学性能、热性能和微观形态表征表明，淀粉／PvA体系具有较好的相容性和较高的力学性能，薄膜的拉伸强度和断裂伸长率分别可达到28．52MPa和307．5％。     

利用钾盐混合物提高玻璃制品的强度

本文介绍了一种利用钾盐混合物并通过改变钾盐的比例来提高玻璃制品强度的方法。     

基于k-最近邻筛选的BMA集合预报模型研究

针对冗余训练样本会降低BMA参数求解效率与精度问题,本文提出在BMA运算之前采用k-最近邻(k-nearest neighbor)算法筛选有价值训练样本,并用于BMA参数求解的改进模型。模拟试验在淮河王家坝站进行,分别以k-最近邻筛选、不筛选两种方案为BMA提供训练样本,统计分析两种方案中王家坝站流量模拟结果,评价BMA改进法的性能。模拟结果显示,采用k-最近邻样本筛选方法后,BMA模型对洪水过程以及洪峰的预报精度提升明显;概率预报结果的离散程度降低的同时,可靠性程度获得提升。k-最近邻样本筛选方法的引入,能够有效去除BMA模型训练样本中的冗余数据,以少量的样本获得更可靠的模型参数,改善集合预报性能。