梯形Halbach永磁阵列空心直线同步电动机特性的解析计算与优化

提出了一种新型的双边不对称梯形永磁空心直线电动机。首先使用等效磁荷法建立了梯形单块磁体的三维空间磁场解析模型,再由叠加原理得到双边Halbach阵列空心电机的气隙磁密三维模型。在考虑线圈横向端部效应的基础上,推导出电机运行过程中的反电动势与电磁推力的表达式。利用解析模型分析了梯形磁体阵列气隙磁密谐波分布的规律,并对其进行优化;三维有限元仿真结果表明所提解析模型具有较高的准确度,同时采用经过优化的梯形阵列定子,可以达到提高气隙磁密正弦性从而减小推力波动的目的。     

基于改进磁密计算的开关磁阻电机径向力解析建模

现有的麦克斯韦应力法计算开关磁阻电机(SRM)径向力的过程中,气隙磁通密度的求取过于简化。由于麦克斯韦应力法的积分路径较简单,气隙磁通密度的准确度直接影响了径向力求取的精度。综合等效磁路法和麦克斯韦应力法,精确计算了SRM气隙磁通密度,给出了单相激励下定子径向电磁力的表达式。在角度位置控制 (APC) 方式下,推导了转子运转过程中定子径向电磁力的解析表达式。在有限元软件上进行了仿真,对比分析了解析计算得到的径向力在时域和频域的分布,解析结果和有限元仿真结果相比表明,即使在2倍额定电流下误差也能维持在10%以内。     

超声速湍流密度脉动预测的神经网络方法

针对气动光学效应对湍流密度脉动预测的需求,发展了超声速湍流密度脉动预测的神经网络方法,从直接数值模拟（DNS）的超声速湍流边界层的流场数据中挖掘规律,建立了包含5个隐含层的密度脉动模型。实验结果表明,所发展的神经网络方法可以很好地预测密度脉动均方值,它不仅能很好地预测训练样本,对测试样本预测的精度和稳定性也显著高于传统模型,且具有一定的泛化能力。通过特征选择和加入先验信息,确定了密度脉动模型的7个输入参数特征量,进一步提高了模型的泛化能力和实用性。     

基于JP-10与RP-3燃烧的数值模拟

基于标准肛￡二方程湍流模型、EDM湍流燃烧模型以及DO辐射模型,对JP-10与RP-3燃料在某型弹用涡喷发动机燃烧室中的燃烧过程分别进行了数值模拟。结果表明,在保持燃料质量流量不变的条件下,采用JP-10替代RP-3后,燃烧室内的温度分布、组分浓度分布变化不大,引起的发动机结构的热负载差异也不大,但对于同等体积的燃油,燃油持续燃烧的时间却增加20％左右。     

基于MSC.Fatigue的电子设备随机振动疲劳分析

针对机载电子设备随机振动问题,研究利用数字仿真技术预测结构随机振动疲劳寿命的方法.以某机载电子设备结构为研究对象,根据随机振动理论和有限单元法,采用MSC.Fatigue软件进行随机振动疲劳分析,计算疲劳寿命大小及分布.通过把计算结果与试验结果进行对比,证明利用随机振动疲劳分析方法预测此类产品的疲劳寿命是可行的.     

压力对有序LixTiS2电子性质的影响

采用基于密度泛函理论的局域密度近似（LDA）,计算了压力对LixTiS2（x=0.0．25,0．5,0．75,1）的晶格结构和电子结构的影响。研究发现,对于同一“含量的LixTiS2,随着压力的增大,LixTiS2的晶格参数有规律的减小,插层化合物中Li的含量越高,材料越难被压缩;在压强等于1GPa左右时各体系的总能量达到最小值。各体系的费米能级随着压力的增大而降低;各原子的电子能态密度产生了漂移,压力还导致了S原子和．Ti原子p-d杂化减弱。“原子和S原子的共价相互作用得到了增强     

基于CHAMP卫星观测数据对热层大气密度的经验正交分析

对2003年(太阳活动较高年)至2007年(太阳活动低年) CHAMP卫星的热层大气密度观测数据进行了经验正交函数(EOF)分析, 得到了400 km高度上白天平均大气密度ρ的太阳活动周变化与年度变化等不同变化分量. 研究结果表明, ρ受太阳活动影响较大, 其太阳周变化分量与F10.7指数变化之间的相关系数可高达94.5 %; ρ的太阳周变化分量随纬度增加而减小, 且在中高纬地区, 南半球的值明显大于北半球的值, 在低纬地区则出现基本对称的双峰分布, 即赤道质量密度异常(EMA)结构. 在ρ的年变化中, 呈现出明显的季节变化, 即夏季低冬季高; 同时ρ的年变化幅度随太阳活动增加而增强, 随纬度增加而增强. 将本文结果与经验模式NRLMSISE00在观测条件下的输出数据进行对比, 发现两者的太阳周变化与年变化分量基本一致, 但本文观测数据的太阳周成分随纬度变化略小, 年变化幅度略大, 且NRLMSISE00模式不能再现EMA结构. 研究结果对揭示热层气候学变化特征具有重要意义.      

Equatorial M(3000)F2 estimation of F2-layer models peak heights during low solar activity

M(3000)F2 estimation of h_mF2 based on four different formulated models viz: (1) Shimazaki (1955) (2) Bradley and Dudeney (1973), (3) Dudeney (1974) and (4) Bilitza et al. (1979) at an equatorial station in West Africa during low solar activity period (1995) are used to validate its conformity with observed and International Reference Ionosphere (IRI) model. Local time analyses of data from fifteen (15) selected days during the January and July solstices and April and October equinoxes are used. The results obtained show that the M(3000)F2 estimation of h_mF2 from the ionosonde-measured values using the Ionospheric Prediction Service (IPS-42) sounder compared to the observed values which were deduced using an algorithm from scaled virtual heights of quiet day ionograms are highly correlated with Bilitza model. International Reference Ionosphere (IRI 2007) model for the equatorial region also agrees with the formulation developed by Bilitza et al. (1979) for the four different seasons of the year. h_mF2 is highest (425 km) in summer (June solstice) season and lowest (386 km) in autumn (September equinox) season with daytimes peaks occurring at 1100–1200 LT during the solstices and at 1000 LT during the equinoxes respectively. Also, the post-sunset peaks are highest (362 km) at the spring (March equinox) and lowest (308 km) at the summer (June solstice) both occurring between 1800 and 2000 LT.     

A different method to update monthly median hmF2 values

The height, h_mF2, and the electron density, N_mF2, of the F2 peak are key model parameters to characterize the actual state of the ionosphere. These parameters, or alternatively the propagation factor, M3000F2, and the critical frequency, f_oF2, of the F2 peak, which are related to h_mF2 and N_mF2, are used to anchor the electron density vertical profile computed with different models such as the International Reference Ionosphere ( Bilitza, 2002), as well as for radio propagation forecast purposes. Long time series of these parameters only exist in an inhomogeneous distribution of points over the surface of Earth, where dedicated instruments (typically ionosondes) have been working for many years. A commonly used procedure for representing median values of the aforementioned parameters all over the globe is the one recommended by the ITU-R ( ITU-R, 1997). This procedure, known as the Jones and Gallet mapping technique, was based on ionosondes measurements gathered from 1954 to 1958 by a global network of around 150 ionospheric stations (  and ). Even though several decades have passed since the development of that innovative work, only few efforts have been dedicated to establish a new mapping technique for computing h_mF2 and N_mF2 median values at global scale or to improve the old method using the increased observational database. Therefore, in this work three different procedures to describe the daily and global behavior of the height of the F2 peak are presented. All of them represent a different and simplified method to estimate h_mF2 and are based on different mathematical expressions. The advantages and disadvantages of these three techniques are analyzed, leading to the conclusion that the recommended procedure to represent h_mF2 is best characterized by a Spherical Harmonics expansion of degree and order equal to 15, since the differences between the h_mF2 values obtained with the Jones and Gallet technique and those obtained using the abovementioned procedure are of only 1%.     

A new ionospheric tomography model combining pixel-based and function-based models

Considering the limitations of current single pixel-based and function-based computerized ionospheric tomography (CIT) models, this paper proposes a new tomography model – COMBI, which combines these two models. COMBI model is able to reconstruct the three dimensional distribution of electron density with fewer parameters, and easy to compute, as well as very convenient to use. Through experiments with simulated data and measured data, it is verified that the new COMBI model not only can better describe refine structure of ionospheric electron density, but also is superior to these two pixel-based and function-based CIT models in application.