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大型网状天线展开过程温度及展开时机分析 被引量:5

On-orbit temperature field calculation and deploying opportunity analysis for large net-shape antennas′deploying process
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摘要 大型网状天线在轨展开过程复杂,风险大。反射器在展开过程中的温度影响展开动力与碳纤维管件抗弯能力,是反射器展开安全的关键因素。通过测试得到反射器展开动力的传动效率、桁架管件抗弯能力随温度变化规律,即-65℃时管件抗弯能力最好,而传动效率随温度升高而提高。通过建立大型网状天线有限元模型与节点矩阵转换算法,模拟展开臂与反射器的展开过程,对管件与T型铰链在轨温度变化规律进行分析,确定最佳展开时机,降低展开过程中展开动力不足、管件强度过载等风险。分析结果表明:布置在地球静止轨道卫星东舱板的大型网状天线展开时机为6:00~9:00时,管件抗弯能力最强;展开时机为4:00时,T型铰链展开动力传动效率最高。 The deploying process of large net-shape deployable antennas on orbit is complex and risky.The wide temperature of reflector is the key factor because it influences the deployment resistance and the bending capacity of carbon fiber tubes.The effect of temperature on the transmission efficiency and the bending capacity of carbon fiber tubes was investigated by high and low temperature performance tests,and the results show that the bending capacity of carbon fiber tubes is best at-65℃,and that the transmission efficiency increases as the temperature rises.Finite element model and node matrix transit method were built for large net-shape deployable antennas,on-orbit temperature field of carbon fiber tubes and T-Joints in antennas′deploying process were studied.The test result of the transmission efficiency and the bending capacity of carbon fiber tubes change with temperature,confirming antennas′optimal deploying opportunity and reducing the risk of deploying power shortage and intensity overload.The analysis results indicate that with the large net-shape deployable atennas placed on the east panel of the geostationary satellite platform,the bending capacity of carbon fiber tubes is the strongest during 6:00~9:00 and that the transmission efficiency of T-Joints is the highest at 4:00.
作者 李涛 肖志伟 张筱筱 LI Tao;XIAO Zhiwei;ZHANG Xiaoxiao(CAST-Xi′an Institute of Space Radio Technology,Xi′an 710199,China)
出处 《中国空间科学技术》 EI CSCD 北大核心 2018年第4期44-50,共7页 Chinese Space Science and Technology
关键词 大型网状天线 展开过程 温度场 传动效率 抗弯能力 展开时机 large net-shape antennas deploying process temperature field transmission efficiency bending capacity deploying opportunity
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