F-12 纤维/RE14复合材料压力容器成型工艺研究

研究讨论了缠绕过程中几种主要工艺参数对F— 12纤维 /RE14配方Φ15 0mm压力容器复合材料性能的影响。结果表明 :采用“交替”铺层方式缠绕成型 ,含胶量控制在 30 %～ 4 0 % (质量分数 ) ,缠绕张力控制在 15 0N～ 2 0 0N ,采用GPC谱图控制固化时机 ,得到的复合材料综合性能较好 ;用优化出的工艺参数进行了Φ4 80mm压力容器试验 ,结果表明其容器特性系数PV/W值为 37.0 2km ,纤维强度转化率高达73.2 6 %。     

CZ2F火箭POGO振动信号特征频率提取

CZ2F运载火箭在第5次飞行过程中意外出现了"8Hz"POGO振动现象,该振动频率对箭体的稳定性和航天员安全产生了严重的影响。为解决这一振动问题,必须精确分析该频率的持续时间和振动量级。通过研究HHT(Hilbert-Huang Transform,希尔伯特-黄变换)方法,结合火箭振动信号特点设计了特征频率提取算法,成功地提取了CZ2F火箭飞行中的"8Hz"POGO振动频率,为有效解决"8 Hz"POGO振动问题提供了技术支撑。     

(100)/(111)面金刚石膜抗氧等离子刻蚀能力

使用微波等离子体技术(microwave plasma chemical vapor deposition,MPCVD)对膜厚100μm的(100)和(111)晶面金刚石膜进行刻蚀处理,研究其抗氧等离子体的行为。结果表明:(100)晶面刻蚀首先发生在晶棱晶界处,而(111)晶面金刚石的刻蚀首先发生在晶面处;30 min刻蚀后,(100)面金刚石有明显晶面显现,(111)面金刚石膜晶面不明显;60 min刻蚀后,(100)和(111)晶面金刚石膜的择优取向消失;(100)晶面金刚石特征峰的半高宽值(full width at the half maximum,FWHM)由刻蚀前的8.51 cm^–1上升至刻蚀后的12.48 cm^–1,(111)晶面金刚石FWHM值由8.74 cm^–1上升至148.49 cm^–1;(100)晶面金刚石膜刻蚀速率在40 min时为0.35μm/min,60 min时上升至1.34μm/min;刻蚀前期,(100)晶面金刚石膜具有更好的抗氧等离子体刻蚀能力,刻蚀后期其抗刻蚀能力与(111)晶面金刚石膜相似。     

热处理对激光直接沉积成形A-100钢基体组织及性能的影响

研究了激光直接沉积成形A-100钢沉积态及热处理态组织,通过调整热处理工艺获得激光直接沉积成形A-100钢回火马氏体+回火贝氏体混合基体组织。不同热处理工艺下性能对比结果表明,相比淬火马氏体组织,回火贝氏体+回火马氏体混合组织具有更高的强度,但塑性有所下降。     

8mm衰减标准装置

对8mm衰减标准装置的工作原理、系统设计、主要技术特点、误差分析等进行了详细介绍,并附有测试和分析数据。该装置达到了80dB的量程、全频段和±0.003dB/10dB的准确度。     

星载单频GPS数据的电离层延迟改正方法分析

利用C/A码单点定位对LEO(Low Earth Orbit)卫星上的电离层延迟改正方法——"电离层比例因子法"进行了分析研究.计算的CHAMP卫星的轨道结果表明:采用电子密度峰值高度(hmF2,F2 region maximum electron density height)平均值和瞬时值计算的电离层比例因子α变化范围分别为0.3~0.4和0.2~0.65之间,两者最大差异可达0.3,相比较而言,hmF2瞬时值的结果更加合理,并且相应的大地高H方向的系统偏差要降低0.05~0.3m左右;与双频无电离层组合的普通单点定位结果相比表明该方法能较好地消除电离层一阶项所引入的H方向上的系统偏差;该方法适用的LEO卫星轨道高度范围大致在200~ 600km之间,当轨道高度超过700km时,该方法并不适用.     

A new global version of M(3000)F2 prediction model based on artificial neural networks

A new version of global empirical model for the ionospheric propagation factor, M(3000)F2 prediction is presented. Artificial neural network (ANN) technique was employed by considering the relevant geophysical input parameters which are known to influence the M(3000)F2 parameter. This new version is an update to the previous neural network based M(3000)F2 global model developed by Oyeyemi et al. (2007), and aims to address the inadequacy of the International Reference Ionosphere (IRI) M(3000)F2 model (the International Radio Consultative Committee (CCIR) M(3000)F2 model). The M(3000)F2 has been found to be relatively inaccurate in representing the diurnal structure of the low latitude region and the equatorial ionosphere. In particular, the existing hmF2 IRI model is unable to reproduce the sharp post-sunset drop in M(3000)F2 values, which correspond to a sharp post-sunset peak in the peak height of the F2 layer, hmF2. Data from 80 ionospheric stations globally, including a good number of stations in the low latitude region were considered for this work. M(3000)F2 hourly values from 1987 to 2008, spanning all periods of low and high solar activity were used for model development and verification process. The ability of the new model to predict the M(3000)F2 parameter especially in the low latitude and equatorial regions, which is known to be problematic for the existing IRI model is demonstrated.     

Longitudinal variation of the equatorial ionosphere: Modeling and experimental results

We describe a new version of the Parameterized Regional Ionospheric Model (PARIM) which has been modified to include the longitudinal dependences. This model has been reconstructed using multidimensional Fourier series. To validate PARIM results, the South America maps of critical frequencies for the E (foE) and F (foF2) regions were compared with the values calculated by Sheffield Plasmasphere-Ionosphere Model (SUPIM) and IRI representations. PARIM presents very good results, the general characteristics of both regions, mainly the presence of the equatorial ionization anomaly, were well reproduced for equinoctial conditions of solar minimum and maximum. The values of foF2 and hmF2 recorded over Jicamarca (12°S; 77°W; dip lat. 1°N; mag. declination 0.3°) and sites of the conjugate point equatorial experiment (COPEX) campaign Boa Vista (2.8°N; 60.7°W; dip lat. 11.4°; mag. declination −13.1°), Cachimbo (9.5°S; 54.8°W; dip lat. −1.8°; mag. declination −15.5°), and Campo Grande (20.4°S; 54.6°W; dip lat. −11.1°; mag. declination −14.0°) have been used in this work. foF2 calculated by PARIM show good agreement with the observations, except during morning over Boa Vista and midnight-morning over Campo Grande. Some discrepancies were also found for the F-region peak height (hmF2) near the geomagnetic equator during times of F₃ layer occurrences. IRI has underestimated both foF2 and hmF2 over equatorial and low latitude sectors during evening-nighttimes, except for Jicamarca where foF2 values were overestimated.     

基于IRI-2012模型广州地区f_0F_2实测与预测的对比分析

利用广州台站(23.2°N,113.3°E)的实测数据和IRI-2012模型提供的预测数据,对比分析了2013年广州地区f_0F2的变化特征.结果表明,IRI-2012模型能够较好预测该地区f_0F_2的变化趋势,并且CCIR参数得到的预测值比URSI参数更接近实测值;预测值与实测值存在系统偏差,在11:00 LT-06:00 LT时段,观测值均比预测值大,其他时段则相反.在日落后至午夜前时段,预测值与实测值有较大差距.绝对偏差的极值点通常出现在20:00 LT左右,最大超过4 MHz.相对偏差变化比较明显的时段是午夜后至凌晨;在02:00 LT或04:00 LT及06:00 LT附近,可能会出现双误差峰值点,最大超过0.4;但在σ变化很大的20:00 LT附近,相对偏差却变化不大.夜间增强现象会使得偏差增大,导致预测值不能很好反映实测f_0F2的变化.     

Comparison of ionospheric F2 peak parameters foF2 and hmF2 with IRI2001 at Hainan

Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with quarter-hourly time interval resolution for the diurnal variation, obtained with DPS4 digisonde at Hainan (19.5°N, 109.1°E; Geomagnetic coordinates: 178.95°E, 8.1°N) are used to investigate the low-latitude ionospheric variations and comparisons with the International Reference Ionosphere (IRI) model predictions. The data used for the present study covers the period from February 2002 to April 2007, which is characterized by a wide range of solar activity, ranging from high solar activity (2002) to low solar activity (2007). The results show that (1) Generally, IRI predictions follow well the diurnal and seasonal variation patterns of the experimental values of foF2, especially in the summer of 2002. However, there are systematic deviation between experimental values and IRI predictions with either CCIR or URSI coefficients. Generally IRI model greatly underestimate the values of foF2 from about noon to sunrise of next day, especially in the afternoon, and slightly overestimate them from sunrise to about noon. It seems that there are bigger deviations between IRI Model predictions and the experimental observations for the moderate solar activity. (2) Generally the IRI-predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the experimental results, but there is a relatively good agreement in summer at low solar activity. The deviation between the IRI-predicted hmF2 using CCIR M(3000)F2 and observed hmF2 is bigger from noon to sunset and around sunrise especially at high solar activity. The occurrence time of hmF2 peak (about 1200 LT) of the IRI model predictions is earlier than that of observations (around 1500 LT). The agreement between the IRI hmF2 obtained with the measured M(3000)F2 and the observed hmF2 is very good except that IRI overestimates slightly hmF2 in the daytime in summer at high solar activity and underestimates it in the nighttime with lower values near sunrise at low solar activity.