A new stationary droplet evaporation model and its validation

The liquid droplet evaporation character is important for not only combustion chamber design process but also high-accuracy spray combustion simulation.In this paper,the suspended droplets' evaporation character was measured in a quiescent high-temperature environment by micro high-speed camera system.The gasoline and kerosene experimental results are consistent with the reference data.Methanol,common kerosene and aviation kerosene droplet evaporation characteristics,as well as their evaporation rate changing with temperature,were obtained.The evaporation rate experimental data were compared with the prediction result of Ranz-Marshall boiling temperature model (RMB),Ranz-Marshall low-temperature model (RML),drift flux model (DFM),mass analogy model (MAM),and stagnant film model (SFM).The disparity between the experimental data and the model prediction results was mainly caused by the neglect of the nat ural convection effect,which was never introduced into the droplet evaporation concept.A new droplet evaporation model with consideration of natural convection buoyancy force effect was proposed in this paper.Under the experimental conditions in this paper,the calculation results of the new droplet evaporation model were agreed with the experimental data for kerosene,methanol and other fuels,with less than 20％ relative deviations.The relative deviations between the new evaporation model predictions for kerosene and the experimental data from the references were within 10％.     

基于多体系统理论的数控机床综合误差建模技术

误差补偿是进一步提高机床精度的重要途径,真实准确的误差模型对最终的误差补偿的效果起着决定性的作用.采用基于多体系统理论的建模方法,对机床拓扑结构、机床的误差元素和坐标系之间的变换矩阵进行充分分析,建立了特定数控机床的综合误差模型,为后期实施对特定机床的实时误差补偿提供了误差计算依据.     

基于修正N-S方程本构关系的气体动理论耦合方法

随着稀薄程度的增加,Navier-Stokes方程的线性本构关系难以正确描述稀薄气体输运特性,高阶非线性本构关系往往数学形式极为复杂,对数值求解造成稳定性差等问题.为了发展适宜于近空间飞行器气动特性分析的高超声速稀薄流动模拟方法,本文利用求解Boltzmann模型方程的气体动理论统一算法(Gas Kineitc Uni...     

基于无向图的SoC软硬件划分方法

软硬件划分是SoC软硬件协同设计中的重要步骤之一.针对软硬件划分问题,提出一种基于无向图的软硬件划分方法,将软件成本和硬件成本设定为网络图的节点,将功能模块间的通讯成本设定为无向的边,从而将芯片的软硬件划分问题归结为基于无向图理论的多目标优化求解的问题.仿真结果证明,该方法在算法效率上优于GA算法和 KL算法.并且设计...     

深成份指数的灰色行业聚类关联与预测模型研究

本文应用系统工程理论,结合灰色趋势关联度,研究了灰色趋势关联系统及数学模型。作为该模型的应用,提出了灰色趋势关联聚类预测方法。以深成份指数为样本对各类行业进行了聚类分析,得到了一种符合实际的聚类预测结果,阐明了灰色趋势关联聚类预测方法的有效性、方便性和实用性。     

气流速度振荡场中幂律液膜不稳定性分析

采用线性稳定性分析研究了处于气流速度振荡场中幂律液膜时间模式的不稳定性。振荡的气流速度导致动量方程为含有时间周期系数的希尔方程，采用Floquet理论进行求解。详细研究了不同振荡幅值和振荡频率下表观雷诺数、幂律指数及无量纲速度因子对各不稳定区间的影响。结果表明：振荡幅值的增加或振荡频率的减小会使液膜不稳定区域的个数增加，且Kelvin-Helmholtz（K-H）不稳定区域的最大增长率、主导波数和截止波数随振荡幅值和振荡频率的增加而增加；表观雷诺数、幂律指数和无量纲速度因子的增加增强了K-H不稳定区域内的不稳定性，使参数不稳定区域内的增长率先减小后增加；振荡幅值的变化不改变最大增长率发生转折时对应的流变参数，而当振荡频率较小时，幂律指数和无量纲速度因子的增加却使最大增长率单调增加。     

Basic belief assignment approximations using degree of non-redundancy for focal element

Dempster-Shafer evidence theory, also called the theory of belief function, is widely used for uncertainty modeling and reasoning. However, when the size and number of focal elements are large, the evidence combination will bring a high computational complexity. To address this issue, various methods have been proposed including the implementation of more efficient combination rules and the simplifications or approximations of Basic Belief Assignments (BBAs). In this paper, a novel principle for approximating a BBA into a simpler one is proposed, which is based on the degree of non-redundancy for focal elements. More non-redundant focal elements are kept in the approximation while more redundant focal elements in the original BBA are removed first. Three types of degree of non-redundancy are defined based on three different definitions of focal element distance, respectively. Two different implementations of this principle for BBA approximations are proposed including a batch and an iterative type. Examples, experiments, comparisons and related analyses are provided to validate proposed approximation approaches.     

一种新型铁电移相器材料的第一性原理计算

铁电薄膜移相器是基于铁电材料的新型移相器,被广泛应用于相控阵天线中。对于这类移相器组成材料的性能改进一直是雷达系统在军事、航天等领域的研究热点之一。基于第一性原理密度泛函理论,综合分析了ABi₂Nb₂O₉(A=Ba, Pb, Sr, Ca)材料的电子属性、化学键和极化属性。结果表明:这种体系有着类似的铁电性起源；Nb—O和Bi—O间的杂化对于系统的畸变和铁电相的稳定起着重要作用；随着A位离子半径的增大,体系的畸变参数也随之增大,导致材料有更大的自发极化,增强了铁电移相器的性能。实验结果验证了理论计算的正确性,为新型铁电移相器的研发奠定了基础。     

火箭上升段滚动时域制导控制一体化设计

针对传统火箭上升段制导与姿态控制系统分离设计无法最大程度优化控制精度、控制量需求等系统整体控制性能的问题，提出一种基于凸优化的滚动时域制导控制一体化(IGC)设计方法。首先建立反映质心运动和绕质心运动耦合关系的IGC模型并对其进行反馈线性化获得面向控制的线性模型。然后考虑控制约束，将上升段IGC问题建模为最优控制问题，基于凸优化理论设计滚动时域控制器。该方法基于滚动时域控制(RHC)策略中反馈校正和滚动优化的思想，可以及时弥补模型误差和外部干扰等造成的不确定性；同时利用凸优化算法计算复杂度低、求解简单的优势，有效解决了含控制约束的复杂优化问题的求解。基于李雅普诺夫稳定性理论证明了闭环系统的稳定性。数值仿真校验了该滚动时域控制方法的有效性和鲁棒性；并且仿真结果表明，火箭上升段IGC设计比传统分离设计制导精度更高、控制量需求更小且姿态变化更加平缓。     

Fault detection and isolation in GPS receiver autonomous integrity monitoring based on chaos particle swarm optimization-particle filter algorithm

The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm.