指针推进移动性管理策略中指针链长度的概率

为了降低移动通信网络中位置跟踪操作的代价,指针推进策略被提出.显然,指针链长度的确定对这一策略的有效应用是至为重要的.已有论文假定移动台在位置区的逗留时间服从指数分布的条件下,对指针链的长度进行研究,但指数分布的特殊性,限制了其研究结果的应用.本文推广了上述结果,研究了移动台在位置区的逗留时间服从一般概率分布的指针推进策略,通过构造向量马氏过程,利用密度演化方法,导出了指针链长度的概率公式,这个公式可用于对各种指针推进策略性能的评价.     

数字化制模新技术

数字化制模技术是将三维CAD模型直接转化成为铸造用模的新技术。文中介绍了华中科技大学开发的HRP系列数字化制模技术的原理及制模工艺。与传统制模方法相比 ,具有制模速度快、精度高、质量好、价格便宜等优点。文中还以制作轿车制动器卡钳体模样、搅拌叶片模样、蜗壳凸样为例说明了运用数字化制模新技术的优点     

基于织疵分析与管理专家系统的探讨

为了及时分析和有效控制织物的疵点,采用VFP 6.0建立了织疵分析与管理专家系统,介绍了系统的总体结构和数据存储形式、推理机制等内容。该系统能实现各种质量指标的统计与分析,对产生率高的疵点进行产生原因的诊断、推理,得出消除疵点的方法,并能准确地确定疵点的评分。结果表明,该系统通过在某工厂的实验,疵点的推断准确率为95%以上,节省疵点的分析时间三分之二,提高下机一等品率5%~10%。     

化工软测量技术研究进展

详细说明了软测量技术的含义以及软测量系统的组成。在此基础上，介绍了软测量技术中基于机理分析建模、应用状态观测器建模、应用统计分析建模、神经元网络、模糊技术、以及支持向量机的智能建模等软测量建模理论方法和最新研究成果，之后介绍了小波分析、推断控制算法在软测量数据处理中的应用，最后介绍了基于虚拟仪器开发平台的软测量系统实现技术。     

应用遗传神经网络研究低渗透储层成岩储集相—以胜利渤南油田三区沙河街组为例

以渤南油田三区沙河街组为例,应用遗传人工神经网络模式识别方法,开展了低渗透储层成岩储集相的研究。该工作是在储集层沉积相、成岩作用研究的基础上,选用流动层带指标、孔隙度、渗透率、粒度中值、泥质含量、孔喉半径均值和变异系数等7项参数,采用神经网络模式识别方法,通过建立遗传神经网络的学习及预测模型,对渤南油田三区沙河街组进行了成岩储集相识别,识别出4类成岩储集相:不稳定组分强溶解次生孔隙成岩储集相、碳酸盐胶结物溶解次生孔隙成岩储集相、强压实强胶结残余粒间孔成岩储集相和极强压实强胶结致密成岩储集相。Ⅰ类储集相的储集性能最好,Ⅳ类最差,为非储层或差储层。     

Finite‐Element Implementation of a Self‐consistent Texture Model with a Hardening Law Based on Dislocation Densities

A self‐consistent texture model is implemented in the finite‐element code ABAQUS/Explicit®. Hardening of the slip systems is described by evolution laws for dislocation densities, and the Bauschinger effect is included. With these ingredients the cold rolling of an IF‐steel is simulated and the evolution of texture and anisotropy is examined. The use of the dislocation based hardening law is found to have a significant effect on the evolution of the anisotropic yield surface, but only very little influence on the texture. Furthermore, the hardening model is used to investigate the evolution of dislocation densities in differently oriented grains during plane strain compression. It is found that the dislocation density varies greatly depending on orientation, an observation which can help to explain the orientation dependence of recrystallization.     

神经网络在缺陷识别中的应用

为了准确、快速地进行缺陷识别，介绍了一种新型的前馈神经网络模型，即径向基概率神经网络。与以往的算法相比，该方法具有分类识别精度高且速度快的优点。仿真获得了很好的结果。     

IF钢冷轧及再结晶初期微观组织的TEM研究

采用透射电子显微镜对不同压下量和再结晶初期的IF钢样品进行了研究．结果表明：无论是在较小形变量下还是在较大形变量下，形变不均匀性是普遍存在的；冷变形程度不同，织构组分不同，TEM形貌也不同；在再结晶的最初期，冷轧的形变组织演变为近乎等轴的亚晶，优先形成{111}〈uvw〉取向的晶核，晶核逐渐吞并周围的形变基体而长大，最终形成再结晶γ-纤维织构．     

EXPERIMENTAL AND NUMERICAL INVESTIGATIONS ON HORIZONTAL OIL-GAS FLOW

Experiments were carried out to investigate the characteristics of oil-gas flow in a horizontal pipe on a large scale (with the inner diameter D = 125 mm). With the experimental data, the flow patterns were presented. Through the analyses for the flow regime transition, it was found that there was a critical superficial velocity of liquid phase for the flow regime transiting from stratified flow to slug flow. The slug flow could not occur until the superficial velocity of liquid phase was higher than the critical velocity. For the flow pattern transiting from stratified to slug flow, the transmitting velocity of gas phase decreases with the augmentation of superficial velocity of liquid phase. On the basis of the experiments, numerical simulations of different flow patterns and their transitions were performed with the use of the Volume Of Fluid (VOF) technique. The results of the computations are shown to match well with the measured data in the experiments.     

强磁防蜡器工艺改进措施

针对影响强磁防蜡器两个性能指标的关键要素进行分析，设计并制造了专用的模具和采用水浸式焊接新工艺，提高了产品性能，产品质量的稳定性有了可靠的保证，同时加工成本也有较大幅度的下降。