首页> 外文会议>Conference on optical modeling and performance predictions IX >Augmented Method to Improve Thermal Data for the Figure Drift Thermal Distortion Predictions of the JWST OTIS Cryogenic Vacuum Test
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Augmented Method to Improve Thermal Data for the Figure Drift Thermal Distortion Predictions of the JWST OTIS Cryogenic Vacuum Test

机译:增强方法,以改善图的散热性热变形预测的热数据,JWST OTIS低温真空测试

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The JWST Optical Telescope Element (OTE) assembly is the largest optically stable infrared-optimized telescope currently being manufactured and assembled, and is scheduled for launch in 2018. The JWST OTE, including the 18 segment primary mirror, secondary mirror, and the Aft Optics Subsystem (AOS) are designed to be passively cooled and operate near 45K. These optical elements are supported by a complex composite backplane structure. As a part of the structural distortion model validation efforts, a series of tests are planned during the cryogenic vacuum test of the fully integrated flight hardware at NASA JSC Chamber A. The successful ends to the thermal-distortion phases are heavily dependent on the accurate temperature knowledge of the OTE structural members. However, the current temperature sensor allocations during the cryo-vac test may not have-sufficient fidelity to provide accurate knowledge of the temperature distributions within the composite structure. A method based on an inverse distance relationship among the sensors and thermal model nodes was developed to improve the thermal data provided for the nanometer scale WaveFront Error (WFE) predictions. The Linear Distance Weighted Interpolation (LDWI) method was developed to augment the thermal model predictions based on the sparse sensor information. This paper will encompass the development of the LDWI method using the test data from the earlier 'pathfinder' cryo-vac tests, and the results of the notional and as tested WFE predictions from the structural finite element model cases to characterize the accuracies of this LDWI method.
机译:JWST光学望远镜元件(OTE)组件是目前正在制造和组装的最大光学稳定的红外优化望远镜,并于2018年进行.JWST常规,包括18段主镜,二次镜像和后光学器件子系统(AOS)设计用于被动冷却并在45K附近运行。这些光学元件由复合复合背板结构支撑。作为结构失真模型验证工作的一部分,在NASA JSC室A的完全集成飞行硬件的低温真空测试期间计划了一系列测试。热失真阶段的成功末端严重依赖于准确的温度了解药物结构成员。然而,在Cryo-VAC测试期间的当前温度传感器分配可能没有足够的保真度,以便在复合结构内的温度分布提供准确了解。开发了一种基于传感器和热模型节点之间的逆距离关系的方法,以改善为纳米级波前误差(WFE)预测提供的热数据。开发了线性距离加权插值(LDWI)方法,以基于稀疏传感器信息增强热模型预测。本文将涵盖使用早期的“Pathfinder'Cryo-VAC-VAC测试的测试数据的LDWI方法的开发,以及来自结构有限元模型案例的符号和测试的WFE预测的结果,以表征该LDWI的准确性方法。

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