地磁扰动期间日本Kokubunji站电离层的扰动特征分析

利用日本Kokubunji站(139.5°E,35.5°N)1959年1月到2004年12月共46年的F2层临界频率foF2参数,统计分析了Kokubunji站电离层F2层峰值电子浓度NmF2随地磁活动、太阳活动、季节和地方时变化的形态特征.结果表明,总体来看,磁暴期间Kokubunji站电离层响应以正暴为主,其中在太阳高年夏季为负暴,冬季为正暴,春秋季以负暴为主但幅度较小;在太阳低年夏季以正暴为主,冬季为正暴,春秋季以正暴为主.NmF2扰动与ap指数在夏季太阳高年负相关,在冬季无论太阳高年低年均为正相关,春秋季中4月和9月在太阳高年类似夏季,3月和10月在太阳低年类似冬季.电离层最大负相扰动对最大地磁活动的延迟时间约为12～15 h;正相扰动的延迟时间则分别为3 h和10 h.地磁活跃期间地方时黄昏后到午夜前倾向于正相扰动,清晨倾向于负相扰动.      

台风影响电离层F2区的一种可能机制

在台风期间,特别是台风登陆前后,强烈的海气、陆气相互作用会增强低层大气中的湍流活动,并可能导致大气湍流层顶的抬升.这种抬升会改变高层大气结构,从而影响高层大气中的光化学过程,最终造成对电离层的影响.在台风活动抬升了湍流层顶的前提下,利用一个一维电离层物理模型,模拟了日本中纬地区(45°N,142°E)电离层F2区的响应.模拟结果很好地定性解释了如下观测事实,台风期间,电离层f0F2会下降,对给定频率电波的反射面会抬升;同时还表明以上过程会导致hmF2上升,这表明台风期间湍流层顶的抬升可能是台风影响电离层F2区的一种十分有效的机制.      

插装式二维(2D)伺服阀的理论分析与实验研究

针对传统伺服阀导控级和功率级平行放置而无法实现插装的问题,研究了一种新型的插装式二维（2D）伺服阀,其特点在于：先导级和功率级集成在单个具有双自由度的阀芯上;力矩马达与阀芯同轴连接,并安装在阀芯末端。通过力矩马达直接驱动阀芯转动,然后利用伺服螺旋机构放大功率并驱动阀芯直线运动,从而控制输出流量。同时可以采用直线位移传感器（LVDT）进行检测阀芯位移,实现位置闭环控制以提高阀的控制性能。为了探究其开环特性,首先建立力矩马达和2D阀的数学模型,求得其开环传递函数;然后,通过仿真了解关键参数对系统动态响应的影响;最后,进行实验研究,验证该阀设计的可行性。实验表明,在满量程输入的情况下,该阀开环时滞环为5%,分辨率≤ 1%,响应时间为10 ms,动态频响为35 Hz;闭环下性能显著提高。插装式2D伺服阀结构简单,尺寸小,质量轻,响应快和控制精度高,在航空航天及军工领域有广阔的应用前景。     

某型航空活塞发动机排气门的对称烧蚀机理

基于统计显示某型航空活塞发动机运行中出现的大量排气门烧蚀故障案例中烧蚀位置均基本呈两点对称分布在气门头部两侧的现象。通过测量排气门密封面附近气门体的实际运行温度,获取了该型发动机上气门运行温度与排气温度（EGT）之间的对应关系,进一步结合该型发动机的结构设计和实际运行环境分析了这种气门烧蚀点对称分布的机理。研究表明:气门偏摆引起气门密封面温度周向对称性分布不均和运行中过度调贫使气门密封面温度过高是排气门对称烧蚀的主要原因。据此提出以EGT为参照限制调贫幅度的方案,经70 000飞行小时实践验证表明故障得到了完全解决。      

一种双S形二元排气系统红外特性的模型实验

通过模型实验测量了一种双S形二元(2-D)喷管排气系统壁面压力和温度分布,以及分别在侧向、下方和上方探测面上的红外辐射强度分布,并与基准轴对称排气系统作了对比分析。实验结果表明:双S形二元喷管排气系统在上方探测面上,红外辐射强度比较大,最大值出现在10°探测角;相比基准轴对称排气系统,双S形二元排气喷管系统红外辐射强度在0°探测角方位平均降低了75.5%,在侧向、下方及上方探测面上90°探测角方位分别降低了57.6%、50.9%和17.3%。      

超细晶Laves相NbCr2颗粒增强Nb基复合材料的制备及其组织性能研究

采用机械合金化 热压工艺制备了Laves相NbCr2增强的Nb基复合材料。研究了Nb-22.5Cr配比成分的Nb,Cr元素粉经MA30h后在1250℃分别热压10min,20min和30min所获得的Nb/NbCr2复合材料的组织和性能。结果表明:三种热压时间均可制备出组织均匀,致密度高的Nb/NbCr2复合材料,体积分数约为30%的近等轴状的Laves相NbCr2颗粒弥散分布于Nb固溶体基体中。热压20min的试样具有最佳的组织和性能,其Laves相NbCr2的晶粒尺寸达到亚微米级,致密度达到99.2%,维氏硬度为9.41GPa,屈服强度为2950 MPa,抗压强度为3345 MPa,塑性应变达到了7.01%,充分实现了Laves相NbCr2颗粒强化和细晶强韧化的效果。     

Assessment of depth to magnetic sources using high resolution aeromagnetic data of some parts of the Lower Benue Trough and adjoining areas,Southeast Nigeria

High resolution airborne magnetic data acquired between 2005 and 2010 were used to determine depth to shallow and deep magnetic sources in some parts of Southeastern Nigeria. Various depth estimation methods such as standard Euler deconvolution (SED), source parameter imaging (SPI), spectral depth analysis (SDA) and two dimensional (2-D) forward modeling were applied. Results obtained from SED, SPI and models of profiles 1 and 2 indicate that the Abakaliki Anticlinorium (AA) and Ikom-Mamfe Rift (IMR) regions are dominated by short wavelength magnetic anomalies caused by extensive tectonic events. The SED map showed depth to shallow and deep magnetic sources ranging from ~ 16.6 to ~ 338.3 m and ~ 394.3 to ~ 5748.1 m respectively. Likewise, depth estimates from the SPI map varies from ~ 147.1 to ~ 554.2 m (shallow magnetic sources) and ~ 644.2 to ~ 6141.6 m (deep magnetic sources). The result obtained from SDA revealed depths to deep magnetic basement in the range of ~ 769 to ~ 6666 m with an average of ~ 3449 m. Also, it showed that depth to shallow magnetic sources vary between ~ 119 and ~ 434 m with mean of ~ 269 m. The 2-D forward modelling showed maximum depth values of ~ 4700, ~4600 and ~ 6500 m in the models of profiles 1, 2 and 3 within the Anambra Basin (AB), Afikpo Syncline (AS) and Calabar Flank (CF) respectively. Generally, from all the various methods applied the results indicate that AB, AS and CF are dominated by long wavelength anomalies. The 2-D models indicated that the basement framework is undulant. Also, depth estimates involving the various methods used in this study correlate strongly with each other in the AB, AS and CF geological regions.     

The longitudinal and hemispherical variation of the IRI’s foF2 estimates at ±40° dip angle around 95°E and 130°E sector under fluctuating solar flux conditions

The deviation of the IRI estimates of the monthly mean foF2 in the low mid latitude of 95°E–130°E longitude sector is investigated using simultaneous ground measurements at four stations during 2010–2014. The stations form two conjugate pairs of the same geo-magnetic latitude at two fixed longitudes enabling direct longitudinal and hemispheric comparison. The temporal, spatial, seasonal and solar activity variations of the deviations are discussed with reference to the longitudinal density variation in the transition region between low and midlatitudes. Cases of underestimation/overestimation as well as good estimate are noted. Underestimation (overestimation) in the daytime and overestimation (underestimation) in the nighttime of 95°E (130°E) are common. The longitudinal difference in the measurements suggests negative (positive) foF2 gradient from west to east in daytime (nighttime). In contrast, the IRI predicts flatter or increasing longitudinal profiles from 95°E to 130°E. The local time and longitudinal variation of the IRI deviations can be attributed to the combined role of the longitudinal EIA structure as well as midlatitude zonal wind-magnetic declination effect. The station/season independent deviations relate the role of solar activity representation in the IRI. These deviations may be attributed to the weak IRI response to rapid solar flux fluctuations.     

A prediction model of short-term ionospheric foF2 based on AdaBoost

In this paper, the AdaBoost-BP algorithm is used to construct a new model to predict the critical frequency of the ionospheric F2-layer (foF2) one hour ahead. Different indices were used to characterize ionospheric diurnal and seasonal variations and their dependence on solar and geomagnetic activity. These indices, together with the current observed foF2 value, were input into the prediction model and the foF2 value at one hour ahead was output. We analyzed twenty-two years’ foF2 data from nine ionosonde stations in the East-Asian sector in this work. The first eleven years’ data were used as a training dataset and the second eleven years’ data were used as a testing dataset. The results show that the performance of AdaBoost-BP is better than those of BP Neural Network (BPNN), Support Vector Regression (SVR) and the IRI model. For example, the AdaBoost-BP prediction absolute error of foF2 at Irkutsk station (a middle latitude station) is 0.32 MHz, which is better than 0.34 MHz from BPNN, 0.35 MHz from SVR and also significantly outperforms the IRI model whose absolute error is 0.64 MHz. Meanwhile, AdaBoost-BP prediction absolute error at Taipei station from the low latitude is 0.78 MHz, which is better than 0.81 MHz from BPNN, 0.81 MHz from SVR and 1.37 MHz from the IRI model. Finally, the variety characteristics of the AdaBoost-BP prediction error along with seasonal variation, solar activity and latitude variation were also discussed in the paper.     

Threshold Selection Method Based on Reciprocal Gray Entropy and Artificial Bee Colony Optimization

Since the logarithmic form of Shannon entropy has the drawback of undefined value at zero points,and most existing threshold selection methods only depend on the probability information,ignoring the within-class uniformity of gray level,a method of reciprocal gray entropy threshold selection is proposed based on two-dimensional（2-D）histogram region oblique division and artificial bee colony（ABC）optimization.Firstly,the definition of reciprocal gray entropy is introduced.Then on the basis of one-dimensional（1-D）method,2-D threshold selection criterion function based on reciprocal gray entropy with histogram oblique division is derived.To accelerate the progress of searching the optimal threshold,the recently proposed ABC optimization algorithm is adopted.The proposed method not only avoids the undefined value points in Shannon entropy,but also achieves high accuracy and anti-noise performance due to reasonable 2-D histogram region division and the consideration of within-class uniformity of gray level.A large number of experimental results show that,compared with the maximum Shannon entropy method with 2-D histogram oblique division and the reciprocal entropy method with 2-D histogram oblique division based on niche chaotic mutation particle swarm optimization（NCPSO）,the proposed method can achieve better segmentation results and can satisfy the requirement of real-time processing.