Estimation of Concentration of Particles in Polymerizing Fluid during Centrifugal Casting of Functionally Graded Polymer Composites

The concentration of uniformly distributed particles in a fluid changes with time in the direction of gravitational or centrifugal force to form a concentration gradient. The change in the concentration is an outcome of velocity variation of particles in a fluid. A modified equation for terminal velocity, v _m of particles in polymerizing-fluid under centrifugal force is proposed to estimate the changes in the volume fraction of particles in the graded composites. The proposed equation introduces the effect of cure kinetics of polymer and its effect on particle movement in the model that was based on the modified Stoke’s law, considering the parameters related to particle hindrance, centrifugal force, particle dimensions, viscosity variation etc. The model predictions of concentration changes at the different locations of samples were compared with calcium carbonate filled polysulphide-modified-epoxy graded composites prepared by centrifugal casting.. The effect of particle size, delayed curing rate of matrix were explored. The simulated results are in good agreement with those of experiments.     

粮情智能测控系统中的数据融合技术研究

粮情智能测控系统是保证粮食储藏安全的关键措施之一。针对目前粮情智能测控系统中单一传感器存在测量不足、粮情安全状态难以判断且无法直接检测等问题,研究了一种基于粒子群优化最小二乘支持向量机的粮情安全状态数据融合方法。以粮情数据为研究对象,以粮情安全状态检测为目的,构建基于最小二乘支持向量机的数据融合模型,并采用粒子群优化算法对最小二乘支持向量机的关键参数进行寻优,获取最佳的数据融合结果。根据广西某粮库提供的数据进行实例分析,数据融合结果与实际值误差较小,均方误差为0.06,结果表明,该方法在粮情安全状态的检测上表现出优越的性能,具有科学性和可行性,提高了粮情智能测控系统的准确性和可靠性。     

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.

     

基于偏最小二乘分析的双模粒子滤波目标跟踪

针对在复杂背景下,基于主成分分析(PCA)的目标跟踪方法准确率较低的问题,使用偏最小二乘分析,提出一种双模粒子滤波的跟踪算法.首先采用偏最小二乘分析对目标区域建模,作为观测模型;然后利用仿射变换描述目标的形变过程,分别在李群及其切向量空间上建立双模的动态模型;最后结合特征空间更新策略,使用粒子滤波实现目标跟踪.实验表明,所提出的算法能够有效滤除背景噪声,跟踪结果稳定且准确.     

一种基于文件型病毒的粒子群检测方法

当今计算机技术的快速发展,使得计算机病毒的智能性日益突出,所以使用单一的传统检测技术在病毒检测过程中,漏检和误检的比例明显上升。为了应对目前病毒体现出的智能性,反病毒技术也必须采用相应的智能技术。文中在查阅了相关资料后,提出一种基于粒子群的病毒检测技术。首先对一个未知属性的程序依照病毒的属性来判断该程序是否是病毒程序。在确定该程序是病毒的前提条件下,再通过粒子群的方法来判断该病毒所属种类。     

新型氯乙烯非均相聚合动力学和成粒机理

对以正丁烷（But)为反应介质的新型氯乙烯（VC）非均相聚合动力学和成粒机理进行了研究，根据VC-But二元体系气液平衡方程，由聚合过程气相压力或组成变化计算VC聚合转化率，VC非均相聚合的诱导期不明显，自动加速现象一般发生在聚合前、中期，后期聚合速率较小，新型VC非均相聚合PVC树脂的体粒径与悬浮PVC树脂相当，数均粒径较小，PVC颗粒由基本不熔结的初级粒子组成，颗粒内部初级粒子分布密度大，粒径大，孔隙率高；而在颗粒表层初级粒子分布密度高，粒径小，孔隙率低；树脂的增塑剂吸收率远大于悬浮PVC树脂，根据PVC树脂的颗粒特性和PVC与VC／But混合液的溶解度参数差异，推断聚合成粒机理为：PVC分子链在很低转化率时就从聚合介质中沉析出来并聚集形成微区，初级粒子和颗粒；后期成粒过程包括颗粒内部初级粒子的增长和向表层的离心聚集，颗粒对新形成的大分子链及其初级聚集体的捕捉等。     

基于模拟退火的粒子群算法优化的二次回归在矿井通风机故障诊断中的应用

针对矿井通风机故障诊断过程中样本数据有限的特点,提出了一种经模拟退火的粒子群算法优化的二次回归诊断方法。将样本数据分为建模数据和测试数据,测试结果表明该方法具有适用性强、操作简单、精准度高,且无需太多样本数据等特点,值得推广。     

Ammonia volatilization from urea as affected by the addition of iron pyrites and method of application

Laboratory incubations were conducted to determine the ammonia (NH₃) loss from urea as affected by the addition of coarse and ground (fine) pyrites at 1:1, 1:2 and 1:5 urea: pyrite (w/w) ratios and methods of application (surfaceapplication, incorporation and placement). Coarse pyrites (>-2mm) were not effective in reducing NH₃ loss from urea when surface applied even at the highest ratio of pyrite (15.9% vs 18.7% without pyrite). Ground pyrites (0.1–0.25 mm), in 1:1 ratio, had about 5% less NH₃ loss than the urea alone treatment. Higher ratios of pyrites reduced NH₃ loss much more. Ammonia losses were the most with surface-applied urea (18.9%) and the least (13.5%) when placed (2.5 cm) below the soil surface. Addition of ground pyrite to surface-applied urea (1:1 ratio) decreased the loss to 13.2%. Urea+pyrite placed below the soil surface had the least loss (9.8%). Results indicate that combined application of urea and fine pyrite could reduce NH₃ loss.     

Stresses of cohesionless granular flows in liquids

We construct constitutive relations for friction stress, slide stress and collision stress of cohesionless granular flows. We propose that the friction stress and slide stress could be neglected when τ_c/τ_e < 0.02, where τ_c represents the interval time experienced by a given particle between two consecutive binary collisions and τ_e the particle relaxation time. We applied these constitutive relations to a simulation of solid-liquid flow in an inclined chute and found the simulation results agree with experimental data.     

三维电极处理生物难降解有机废水

介绍了三维电极电化学水处理技术的分类及其特点,着重阐述了国内外的实验研究与应用现状,及三维电极与化学催化、光催化、生物催化、超声波、絮凝和吸附法等的优化组合技术。该领域研究的主攻目标仍然是如何提高电极材料的催化性能,提高电流效率,减少电极极化,降低能耗。因此,新型三维电催化电极和高效反应器的研制,三维电极法与其他处理方法的系统集成及处理单元的有机联合将是今后的研究发展方向。