水击谐波条件下乳化油液滴积聚过程影响因素初探

根据乳化油液滴的形成过程和其运动状态的特点,选择和控制适宜的破乳条件促进乳化液滴的积聚,可以实现乳化油液的有效破乳。通过对W/O型乳化油液滴在水击谐波场力作用下的过程进行分析,发现在水击谐波波节的±λ/4范围内,分散相液滴经过一定的时间发生了积聚,但影响分散相液滴相互聚集的因素多且又复杂。通过由理论分析和试验结果初步确定了乳化油液滴积聚过程的主要影响因素,其中随着水击谐波频率、油液速度的增大,积聚过程加快,控制在水击谐波频率为10Hz条件下,液滴积聚效果较佳。而随着连续物相的黏度系数增大,液滴积聚的时间增加,积聚过程反而降低,控制连续相的黏度系数在1.0×10-3 Pa·s左右,液滴积聚效果较为理想;同时发现乳化油液滴粒径的大小对积聚过程也产生一定的影响,因此积聚过程不能忽略乳化油液滴惯性力的作用。控制好合适的物性参数可以实现分散相液滴的积聚和聚结,为深入研究乳化油液的水击谐波破乳脱水奠定基础。     

基于伺服控制的立体织机电子开口系统的设计

为实现在三维织造中多层经纱形成多个清晰的梭口,分析了传统织机开口机构的特点以及织机开口综框的运动规律.根据织造三维机织物对立体织机开口机构的特殊要求,认为正弦加速运动规律适合于立体织造综框运动的要求,并基于正弦加速运动规律,设计了一种新型的电子开口系统.该开口系统采用可编程序控制器(PLC)、伺服电动机驱动的方法控制立体织机的综框运动,简化了开口机构,提高了立体织机开口系统的灵活性和可靠性.     

基于特征线的变步长网格划分法

本文首先讨论了用特征线法求解常系数双曲型偏微分方程的解析解,分析了以特征线法为依据构造的几种经典差分格式并给出了数值计算结果,通过分析误差得到最优网格比,结合特征线法提出了变系数双曲型方程的变步长网格划分的数值解方法及数值计算结果。     

Hybrid Particle Swarm Optimization Algorithm Based on Entropy Theory for Solving DAR Scheduling Problem

An efficient task-scheduling algorithm in the Digital Array Radar(DAR) is essential to ensure that it can handle a large number of requested tasks simultaneously. As a solution to this problem, in this paper, we propose an optimization model for scheduling DAR tasks using a hybrid approach. The optimization model considers the internal task structure and the DAR task-scheduling characteristic. The hybrid approach integrates a particle swarm optimization algorithm with a genetic algorithm and a heuristic task-interleaving algorithm. We introduce the chaos theory to optimize initialized particles and use entropy theory to indicate the diversity of particles and adaptively adjust the inertia weight, the crossover probability, and the mutation probability. Then, we improve both the efficiency and global exploration ability of the hybrid algorithm. In the framework of the swarm exploration algorithm, we include a heuristic task-interleaving scheduling algorithm, which not only utilizes the wait interval to transmit or receive subtasks, but also overlaps the receive intervals of different tasks. In a large-scale simulation,we demonstrate that the proposed algorithm is more robust and effective than existing algorithms.     

一类具超临界源非线性双曲方程解的爆破时间下界估计

通过构造具小耗散项的新控制泛函, 利用能量估计不等式和反向Hlder不等式, 对一类具超临界源项的非线性双曲方程解的L^p范数建立一阶非线性微分不等式, 并通过讨论微分不等式的性质获得解爆破时间的精确下界估计.     

基于认知电子战的侦察技术

 认知电子战是基于全球电子战领域的一个新兴发展方向。以研究认知电子战的侦察分系统相关技术为重点,分析了目前复杂电磁环境的现状,提出了未来侦察技术的发展需求;以雷达侦察为主总结了传统电子侦察接收机和装备技术的发展现状,结合传统侦察流程提出了能够分选识别已知或未知辐射源目标的认知侦察处理流程,以及具备开放式、一体化、模块化特点的侦察分系统体系和软件架构。     

地铁车辆再生制动能量利用率影响因素

采用情景分析法,搭建了城市轨道交通车网仿真模型,对发车间隔、上下行发车时间差、载客量、行车密度、路况地理状态等因素对再生制动能量利用率及牵引变电站牵引能耗的影响进行了分析,给出再生制动能量利用率的主要影响因素.通过再生制动能量利用率较低的工况仿真,分析了站点列车制动电阻开启次数、低电压出现次数与该站点再生制动能量的利用以及电能质量间的作用关系.以上海地铁线路运营时段的发车间隔为例,运用仿真方法,探讨了地面储能系统容量配置与城市轨道交通发车间隔的取值控制策略.研究成果可为城市轨道交通节能提供理论指导.     

基于ESDA的湖北省县域经济空间差异分析

使用探索性空间数据分析方法(ESDA)研究了2000-2011年间湖北省县域人均GDP的空间分布格局,对其经济总体和局部空间差异的变化趋势、分布特征和成因进行初步分析。计算结果表明,湖北省县域经济空间差异在总体上呈缩小趋势。局部分析表明武汉城市圈和荆宜城市群扩散作用明显,显著性相似区域扩大,周边区域有同步发展的势态。县域总体经济差异的缩小和典型区域的扩散效应并不能说明全省区域经济协调发展,在循环积累作用下区域间差异可能会扩大。     

塔贝尔凹陷铜钵庙组沉积相分析*

通过岩芯观察、测井相、沉积物粒度、砂体空间展布规律和现代河流沉积模式类型等分析研究,指出研究区塔贝尔凹陷在沉积期湖盆水体浅,基本上以满盆砂为特征,且入湖水流在向湖推进过程中,携砂能力强,沉积物供给速率远大于可容纳空间增长速率,因此目的层段表现为下细上粗反旋回为特征的地层堆积样式。同时,综合利用岩芯相、重矿物组合和砂地比等资料,进一步对塔贝尔凹陷沉积体系平面展布特征进行厘定。研究结果表明,下白垩统铜钵庙组主要发育扇三角洲和湖泊两种沉积相类型,并得到了新一轮钻井的确认和证实。为下一步勘探布井以及后续滚动开发奠定了基础。     

Characterization of major histocompatibility complex DRA and DRB genes of the forest musk deer (Moschus berezovskii)

The forest musk deer(Moschus berezovskii) is one of the most endangered species in China.Over the past decades,extensive hunting and poaching have pushed the forest musk deer to the edge of extinction,and conservation biologists are presently pursuing scientific management plans to rescue this species.The major histocompatibility complex(MHC),a cluster of genes responsible for antigen presentation,is a highly polymorphic genomic region in vertebrates that has become a popular functional marker system for studying adaptive variation.In this study,we developed locus-specific genotyping primers for exon 2 fragments of one DRA gene and one DRB locus of the forest musk deer using a suite of comprehensive methods that included universal primer amplification,genome walking,single-strand conformation polymorphism(SSCP),heteroduplex(HD) profiling,and sequence analysis.Each forest musk deer showed no more than two sequences per locus,confirming the specificity of our primers.Genotyping with these primers allowed us to identify two DRA alleles and six DRB alleles in a captive breeding population of the Sichuan Musk Deer Breeding Institution.For the DRA locus,we found a slightly higher observed heterozygosity(N O =0.154) than expected(N E =0.143).In contrast,the DRB locus showed a significant heterozygote deficiency(N O =0.508;N E =0.761;P<0.05),which was probably due to inbreeding in the captive population.An obvious excess of nonsynonymous substitutions over synonymous was observed at the antigen-binding positions of the DRA and DRB loci,showing the presence of positive selection in the forest musk deer DR genes.Finally,generation of phylogenetic trees for the DRA and DRB sequences of the forest musk deer and other ruminants revealed that the DRA and DRB loci identified in this study had homologous relationships with the known ruminant DRA and DRB genes.Based on this analysis,and to facilitate future studies,we named these novel loci Mobe-DRA and Mobe-DRB3.