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51.
开展高紫外-可见-近红外反射能力热控填料的制备,研制新型低吸收比(α_S)高发射率(ε_H)无机热控涂层。以自制SBA-15和ZnO前驱体为原料通过溶剂热浸渍和高温煅烧法制备ZnO/SBA-15填料,然后与硅酸钾(K_2SiO_3)制备无机热控涂层;采用SAXD、XRD、SEM、太阳反射光谱分析填料和涂层的性能。结果显示采用硝酸锌作为前驱体、m(ZnO)∶m(SBA-15)=3∶7、950℃下烧结3 h可以得到高紫外-可见-近红外反射能力的填料;ZnO/SBA-15/K_2SiO_3无机涂层的α_S为0.09,ε_H为0.91,涂层结合力等级为1级,经过100次-196~100℃热循环实验后,涂层无脱落和开裂现象。SBA-15改性ZnO可以获得具有高紫外反射率和低α_S的热控填料,ZnO/SBA-15填料制备的无机热控涂层同样具备高紫外反射率、低α_S和高ε_H,可以满足航天器高效散热的需求,应用前景良好。 相似文献
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文章介绍了风云二号卫星地面应用系统工程高速数据收集平台报告信号( DCPR)接收系统在北京气象站系统预交付联试中表现的天线频繁跟踪以及经过接收变频后的90.9MHz中频信号信噪比测试结果较差问题排查过程和有效的解决方案。问题排查过程主要针对DCPR接收系统射频接收机多个关键检测点进行测试,从测试结果和系统链路组成分析问题原因,并制定了四个具有针对性解决方案,主要是:DCPR接收系统射频接收机自带5MHz锁相晶体振荡器、加强手机信号干扰抑制、降低变频前链路增益、增加变频后链路增益以满足系统使用要求。最终将以上解决方案应用到风云二号卫星地面应用系统工程高速数据收集平台报告信号( DCPR)接收系统中,问题得到了很好解决。 相似文献
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《中国航空学报》2021,34(4):465-475
Severe tool wear and poor surface quality are the main problems during micro machining of cemented carbide. In this work, an innovative hybrid process of laser-induced oxidation assisted micro milling (LOMM) was proposed to solve the problems. A nanosecond laser was utilized to induce oxidation of the WC-20%Co material, producing loose oxide which was easy to remove. The micro machinability of the material was improved by laser-induced oxidation. The oxidation mechanisms of cemented carbide were studied. A microgroove with a depth of 2.5 mm and aspect ratio of 5 was fabricated successfully. The milling force, surface quality and tool wear mechanisms were investigated. For comparison, a microgroove was also fabricated with conventional micro milling (COMM) using identical milling parameters. Results revealed that in LOMM the milling force and tool wear rate were extremely low during removing the oxide. The machined surface quality and dimensional accuracy achieved by LOMM were superior to those obtained by COMM. The surface roughness Sa of the microgroove bottom reached 88 nm in LOMM, while the cross-sectional geometry of the microgroove was a trapezoid. Perpendicularity of the microgroove sidewall machined by LOMM was better than that by COMM. The tool wear forms in LOMM were coating spalling and slight tool nose breakage. Compared with COMM, the tool life in LOMM was prolonged significantly. It indicates that the proposed hybrid process is an effective and efficient way to fabricate high aspect ratio micro-features with high dimensional accuracy. 相似文献
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《中国航空学报》2021,34(4):1-18
The previous studies of time delay compensation in flight control systems are all based on the conventional aerodynamic derivative model and conducted in longitudinal motions at low angles of attack. In this investigation, the effects of time delay on the lateral-directional stability augmentation system in high-α regime are discussed based on the model, which is proposed in our previous work and proved as a more accurate aerodynamic model to reveal the lateral-directional unsteady aerodynamic characteristics at high angles of attack. Both the model and the quasi-steady model are used for simulating the effects of time delay on the flying qualities in high-α maneuvers. The comparison between the simulation results shows that the flying qualities are much more sensitive to the mismatch of feedback gains than the state errors caused by time delay. Then a typical adaptive controller based on the conventional dynamic derivative model and a gain-prediction compensator based on model are designed to address the time delay in different maneuvers. The simulation results show that the gain-prediction compensator is much simpler and more efficient at high angles of attack. Finally, the gain-prediction compensator is combined with a linearized model reference adaptive controller to compensate the adverse effects of very large time delay, which exhibits excellent performance when addressing the extreme conditions at high angles of attack. 相似文献
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《中国航空学报》2021,34(9):47-59
The aircraft system has recently gained its reputation as a reliable and efficient tool for sensing and parsing aerial scenes. However, accurate and fast semantic segmentation of high-resolution aerial images for remote sensing applications is still facing three challenges: the requirements for limited processing resources and low-latency operations based on aerial platforms, the balance between high accuracy and real-time efficiency for model performance, and the confusing objects with large intra-class variations and small inter-class differences in high-resolution aerial images. To address these issues, a lightweight and dual-path deep convolutional architecture, namely Aerial Bilateral Segmentation Network (Aerial-BiSeNet), is proposed to perform real-time segmentation on high-resolution aerial images with favorable accuracy. Specifically, inspired by the receptive field concept in human visual systems, Receptive Field Module (RFM) is proposed to encode rich multi-scale contextual information. Based on channel attention mechanism, two novel modules, called Feature Attention Module (FAM) and Channel Attention based Feature Fusion Module (CAFFM) respectively, are proposed to refine and combine features effectively to boost the model performance. Aerial-BiSeNet is evaluated on the Potsdam and Vaihingen datasets, where leading performance is reported compared with other state-of-the-art models, in terms of both accuracy and efficiency. 相似文献