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101.
以几种不同的2.5D衍生结构织物为增强体,制备了法向增强、经向增强及经法向增强2.5D Si O2f/Si O2复合材料,比较了上述材料与现有2.5D Si O2f/Si O2复合材料的经向力学性能,并研究了经法向增强2.5D结构复合材料中增强纱比例、纤维体积分数与材料性能之间的关系,对织物结构进行了优化。结果表明,经法向增强2.5D Si O2f/Si O2复合材料的经向力学性能较现有2.5D复合材料有显著提高,该材料在较低密度下(1.6 g/cm3),经向拉伸强度与现有材料(1.65 g/cm3)持平,且经向压缩强度接近现有材料的4.3倍。  相似文献   
102.
基于叶尖定时的叶片耦合振动参数辨识与仿真   总被引:1,自引:0,他引:1       下载免费PDF全文
为了实时掌握叶片振动情况、预防故障发生,目前最常用的非接触振动测量方法是基于单自由度模型的叶尖定时法,但当叶片耦合振动时2个振动峰相隔很近,该方法无法同时识别出其振动参数。采用基于2自由度模型的曲线拟合方法,得到叶片耦合振动2个峰的初始相位等参数,用相位遍历法辨识出叶片的振动阶次和频率。结果表明:采用基于2自由度模型的曲线拟合方法提高了叶片耦合振动参数辨识的精度,辨识了相邻2个峰的振动参数。辨识振动与仿真参数设置基本一致。  相似文献   
103.
We present near-infrared spectroscopy of the massive X-ray binary 2S 0114+650. These observations covering the spectral range 1.08–2.35 μm span the region where Paschen and Brackett series recombination lines of hydrogen are expected to be seen, namely, Paβ , Brγ and Br 10–17 lines. The absence of any of these lines in emission supports earlier inferences that the optical component in 2S 0114+650 is unlikely to be a Be star but rather a B type supergiant. Near-IR photometry gives J = 8.78, H = 8.53 and K = 7.96; these values show marginal variations from earlier reported measurements.  相似文献   
104.
基于液压自然爆膜的压力传感器动态标定方法   总被引:1,自引:0,他引:1  
介绍了一个基于液压自然爆膜的压力传感器动态校准系统,研究了标定实验数据的处理方法,分析了该系统标定结果的重复性。试验结果表明该标定系统重复性好,可以满足0~30MPa,0~50kHz压力传感器动态标定的要求。  相似文献   
105.
文章针对空间红外遥感器应用特点,进行了斯特林制冷机的模拟真空环境试验。试验结果表明:温度环境和导热条件是影响斯特林制冷机空间应用的重要因素。  相似文献   
106.
时分式平面-立体电视图像转换器是由视频图像信号处理电路、控制信号产生电路和液晶眼镜驱动电路三部分构成,根据其构成和工作原理,可采用多种具体电路来实现。  相似文献   
107.
本文介绍了Java 2D API的图象处理思想.通过以LookupOp查找表过滤器为例,分析了图象的即时模式模型,即对内存的缓冲区图象进行处理,再绘制到屏幕上的处理技术.同时介绍了利用Java 2D中提供的过滤器对图象数据的过滤操作.  相似文献   
108.
基于J_2轨道预测模型,设计了不同倾角和轨道高度圆轨道月球卫星,通过将J_2轨道预测模型预瞄准仿真结果与直接积分RKF7(8)法仿真结果相对比,研究了不同类型月球卫星轨道对-Y面卫星舱板激光通信终端瞄准精度的影响。仿真结果表明,J_2轨道预测模型可以满足月球极地卫星月地激光通信要求,当轨道高度为1 000 km和2 000 km的时候,10 min方位角偏差不超过40μrad,而俯仰角偏差仅为7μrad时,在一定程度上J2轨道预测模型可以满足月地激光通信预瞄准要求。  相似文献   
109.
Solar Radiation Pressure (SRP) is the dominant non-gravitational perturbation for GNSS (Global Navigation Satellite System) satellites. In the absence of precise surface models, the Empirical CODE Orbit Models (ECOM, ECOM2) are widely used in GNSS satellite orbit determination. Based on previous studies, the use of an a priori box-wing model enhances the ECOM model, especially if the spacecraft is a stretched body satellite. However, so far not all the GNSS system providers have published their metadata. To ensure a precise use of the a priori box-wing model, we estimate the optical parameters of all the Galileo, BeiDou-2, and QZS-1 (Quasi Zenith Satellite System) satellites based on the physical processes from SRP to acceleration. Validation using orbit prediction proves that the adjusted parameters of Galileo and QZS-1 satellites exhibit almost the same performance as the corresponding published and “best guess” values. Whereas, the estimated parameters of BeiDou-2 satellites demonstrate an improvement of more than 60% over the initial “guess” values. The resulting optical parameters of all the satellites are introduced into an a priori box-wing model, which is jointly used with ECOM and ECOM2 model in the orbit determination. Results show that the pure ECOM2 model exhibits better performance than the pure ECOM model for Galileo, BeiDou-2 GEO and QZS-1 orbits. Combined with the a priori box-wing model the ECOM model (ECOM+BW) results in the best Galileo, BeiDou-2 GEO and QZS-1 orbits. The standard deviation (STD) of satellite laser ranging residuals reduce by about 20% and 5% with respect to the pure ECOM2 model for Galileo and BeiDou-2 GEO orbits, while the reductions are about 40% and 60% for QZS-1 orbits in yaw-steering and orbit-normal mode respectively. BeiDou-2 IGSO and MEO satellite orbits do not benefit much from the a priori box-wing model. In summary, we suggest setting up a unified SRP model of ECOM+BW for Galileo, QZS-1, and BeiDou-2 orbits based on the adjusted metadata. In addition, we estimate the optical parameters of BeiDou-3e and QZS-2 satellites using a limited number of tracking stations. Results regarding the unified SRP model indicate the same advantages, the STD of satellite laser ranging residuals reduces by about 30% and 20% for QZS-2 and BeiDou-3e orbits respectively over orbit products without a priori model. The estimation procedure is effective and easy to apply to the new emerging satellites in the future.  相似文献   
110.
We examined performance of two empirical profile-based ionospheric models, namely IRI-2016 and NeQuick-2, in electron content (EC) and total electron content (TEC) representation for different seasons and levels of solar activity. We derived and analyzed EC estimates in several representative altitudinal intervals for the ionosphere and the plasmasphere from the COSMIC GPS radio occultation, ground-based GPS and Jason-2 joint altimeter/GPS observations. It allows us to estimate a quantitative impact of the ionospheric electron density profiles formulation in several altitudinal intervals and to examine the source of the model-data discrepancies of the EC specification from the bottom-side ionosphere towards the GPS orbit altitudes. The most pronounced model-data differences were found at the low latitude region as related to the equatorial ionization anomaly appearance. Both the IRI-2016 and NeQuick-2 models tend to overestimate the daytime ionospheric EC and TEC at low latitudes during all seasons of low solar activity. On the contrary, during high solar activity the model results underestimated the EC/TEC observations at low latitudes. We found that both models underestimated the EC for the topside ionosphere and plasmasphere regions for all levels of solar activity. For low solar activity, the underestimated EC from the topside ionosphere and plasmasphere can compensate the overestimation of the ionospheric EC and, consequently, can slightly decrease the resulted model overestimation of the ground-based TEC. For high solar activity, the underestimated EC from the topside ionosphere and plasmasphere leads to a strengthening of the model underestimation of the ground-based TEC values. We demonstrated that the major source of the model-data discrepancies in the EC/TEC domain comes from the topside ionosphere/plasmasphere system.  相似文献   
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