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161.
郑春满%李效东%王亦菲%王应德%冯春祥 《宇航材料工艺》2005,35(3):7-10
为制备耐高温性能良好的SiC纤维,必须降低纤维中的氧含量,本文详细综述了国内外先驱体转化法制备Sic纤维中降低氧含量的方法,分析了各种方法的优缺点,比较可行有效的方法有电子束/γ射线辐射交联法、高温脱氧法和低度预氧化 热交联法,为制备高性能SiC纤维提供了一些参考。 相似文献
162.
Effects of Mo on the Microstructure and Hydrogen Sorption Properties of Ti-Mo Getters 总被引:1,自引:0,他引:1
ZHOU Hong-guo WEI Xiu-ying MAO Chang-hui XIONG Yu-hua QIN Guang-rong 《中国航空学报》2007,20(2):172-176
The effects of Mo on the microstructure evolution, porosity and hydrogen sorption properties of Ti-Mo getters are investigated in this work. The results show that the addition of Mo prolongs the densification process of Ti-Mo getters and results in a significant amount of sintered pores. With the Mo content increasing, the porosity of getters firstly increases reaching the maximum value as it at- tains about 7.5wt.%, and then drops. At the room temperature, the hydrogen sorption property of getters increases progressively with the Mo content increasing, but the tendency is not very clear before its content lies below 2.5wt.%. When the Mo content achieves about 7.5wt.%, the hydrogen sorption property proves to be the best. The discussion is made about the above mentioned phenomena inclusive of hydrogen sorption properties of getters under different activation conditions (from 500-750 ℃). 相似文献
163.
通过试验详细论述了1Cr18Ni9Ti钢中不同残余V含量对材料固溶状态的组织及400℃、500℃长期时效后对组织、晶间腐蚀和室温、高温性能的影响。从而得出结论适量V的存在对1Cr18Ni9Ti钢板组织影响不大,对抗晶间腐蚀性能稍有提高,对室温、高温抗拉强度、屈服强度稍有提高,塑性稍有降低。 相似文献
164.
机械系统相关失效的存在,严重地削弱了冗余结构的安全作用。从系统层的应力强度—干涉模型出发,通过Monte-Carlo仿真不同冗余系统的各阶失效概率,获得失效数据。利用BP神经网络算法的函数逼近功能、非线性映射功能和容错能力对系统相关失效概率模型进行离散化处理,建立系统失效概率与零件失效数据之间的非线性关系,进而构建基于神经网络的机械系统可靠性评价的参数化模型。利用该模型可以预测系统中的任意阶相关失效概率。实例给出其应用方法并与实验结果进行对比,表明该方法准确可靠。 相似文献
165.
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167.
K8飞机座舱盖有机玻璃破裂原因分析 总被引:2,自引:0,他引:2
通过对K8飞机座舱盖MYB-3^#有要玻璃断口进行宏观及微观分析,揭示了该座舱盖有机玻璃破裂的主要原因,并找到了划伤深度对有机玻璃疲劳寿命影响的规律。 相似文献
168.
Uma Pandey Ashutosh K. Singh Sanjay Kumar A.K. Singh 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2018,61(5):1244-1253
Ionospheric perturbations in possible association with a major earthquake (EQ) (M?=?8.5) which occurred in India-Oceania region are investigated by monitoring subionospheric propagation of VLF signals transmitted from the NWC transmitter (F?=?19.8?kHz), Australia to a receiving station at Varanasi (geographic lat. 25.3°N, long 82.99°E), India. The EQ occurred on 11 April 2012 at 08:38:35?h UT (magnitude?≈?8.5, depth?=?10?km, and lat.?=?2.3°N, long.?=?93.0°E). A significant increase of few days before the EQ has been observed by using the VLF nighttime amplitude fluctuation method (fixed frequency transmitter signal). The analysis of total electron contents (TEC) derived from the global positioning system (GPS) at three different stations namely, Hyderabad (latitude 17.38°N, longitude 78.48°E), Singapore (latitude 1.37°N, longitude 103.84°E) and Port Blair (latitude 11.62°N, longitude 92.72°E) due to this EQ has also been presented. Significant perturbation in TEC data (enhancements and depletion) is noted before and after the main shock of the EQ. The possible mechanisms behind these perturbations due to EQ have also been discussed. 相似文献
169.
N.C. Patel S.P. Karia K.N. Pathak 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(6):1860-1881
This paper investigated the performance of the latest International Reference Ionosphere model (IRI-2016) over that of IRI-2012 in predicting total electron content (TEC) at three different stations in the Indian region. The data used were Global Positioning System (GPS) data collected during the ascending phase of solar cycle 24 over three low-latitude stations in India namely; Bangalore (13.02°N Geographic latitude, 77.57°E Geographic longitude), Hyderabad (17.25°N Geographic latitude, 78.30°E Geographic longitude) and Surat (21.16°N Geographic latitude, 72.78°E Geographic longitude). Monthly, the seasonal and annual variability of GPS-TEC have been compared with those derived from International Reference Ionosphere IRI-2016 and IRI-2012 with two different options of topside electron density: NeQuick and IRI01-corr. It is observed that both versions of IRI (i.e., IRI-2012 and IRI-2016) predict the GPS-TEC with some deviations, the latest version of IRI (IRI-2016) predicted the TEC similar to those predicted by IRI-2012 for all the seasons at all stations except for morning hours (0500 LT to 1000?LT). This shows that the effect of the updated version is seen only during morning hours and also that there is no change in TEC values by IRI-2016 from those predicted by IRI-2012 for the rest of the time of the day in the Indian low latitude region. The semiannual variations in the daytime maximum values of TEC are clearly observed from both GPS and model-derived TEC values with two peaks around March-April and September-October months of each year. Further, the Correlation of TEC derived by IRI-2016 and IRI-2012 with EUV and F10.7 shows similar results. This shows that the solar input to the IRI-2016 is similar to IRI 2012. There is no significant difference observed in TEC, bottom-side thickness (B0) and shape (B1) parameter predictions by both the versions of the IRI model. However, a clear improvement is visible in hmF2 and NmF2 predictions by IRI-2016 to that by IRI-2012. The SHU-2015 option of the IRI-2016 gives a better prediction of NmF2 for all the months at low latitude station Ahmedabad compare to AMTB 2013. 相似文献
170.