Cyril Bourgenot, Valdis Krumins, David G. Bramall, Abdul M. Haque
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引用次数: 0
摘要
立方体卫星以体积小巧、成本效益高而著称,因此大受欢迎。然而,其有限的尺寸限制了光学孔径,从而限制了地球观测任务中的地面分辨率距离。为了克服这一限制,出现了可部署光学有效载荷的概念,这种有效载荷带有可像花瓣一样展开的分段式主镜,可实现更大的合成孔径和更高的空间分辨率。本研究探讨了在超精密加工(特别是单点金刚石加工)领域利用快速成型制造(AM)和拓扑优化(TO)的潜在优势。其目标是减轻夹具重量,同时提高刚度,以最大限度地减少旋转力和切削力造成的变形,从而降低光学性能。通过有限元分析,这项研究将传统加工夹具与使用 AM 和 TO 技术生产的夹具进行了比较。结果显示,通过 TO 技术制作的概念设计可显著减轻 68% 的重量。重量减轻后,包括加工夹具和 12 个 U 型可展开段在内的组件只需一名操作员即可操作,无需专门的起重设备。此外,这些创新设计还大大减少了旋转力和切削力引起的变形,分别高达 86% 和 51%。
Topology Optimization of a Single-Point Diamond-Turning Fixture for a Deployable Primary Mirror Telescope
CubeSats, known for their compact size and cost effectiveness, have gained significant popularity. However, their limited size imposes restrictions on the optical aperture and, consequently, the Ground Resolution Distance in Earth Observation missions. To overcome this limitation, the concept of deployable optical payloads with segmented primary mirrors which can unfold like petals has emerged, enabling larger synthetic apertures and enhanced spatial resolution. This study explores the potential benefits of leveraging Additive Manufacturing (AM) and Topology Optimization (TO) in the realm of ultra-precision machining, specifically single-point diamond machining. The goal is to reduce fixture weight while improving stiffness to minimize deformations caused by rotational and cutting forces which compromise optical performance. Through Finite Element Analysis, this research compares conventionally machined fixtures with those produced using AM and TO techniques. The results reveal that concept designs created via TO can achieve a remarkable 68% reduction in weight. This reduction makes the assembly, including the machining fixture and 12 U deployable segments, manageable by a single operator without the need for specialized lifting equipment. Moreover, these innovative designs lead to substantial reductions of up to 86% and 51% in deformation induced by rotational and cutting forces, respectively.
期刊介绍:
Aerospace is a multidisciplinary science inviting submissions on, but not limited to, the following subject areas: aerodynamics computational fluid dynamics fluid-structure interaction flight mechanics plasmas research instrumentation test facilities environment material science structural analysis thermophysics and heat transfer thermal-structure interaction aeroacoustics optics electromagnetism and radar propulsion power generation and conversion fuels and propellants combustion multidisciplinary design optimization software engineering data analysis signal and image processing artificial intelligence aerospace vehicles'' operation, control and maintenance risk and reliability human factors human-automation interaction airline operations and management air traffic management airport design meteorology space exploration multi-physics interaction.