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Lightweight Design of Multi-Objective Topology for a Large-Aperture Space Mirror
- Source :
- Applied Sciences, Volume 8, Issue 11, Applied Sciences, Vol 8, Iss 11, p 2259 (2018)
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- For a large-aperture space telescope, one of the key techniques is the method for designing the lightweight primary mirror assembly (PMA). In order to minimize the mirror surface error under axial gravity, lateral gravity, and polishing pressure at the same time, a method for topology optimization with multi-objective function combined with parametric optimization is introduced in this paper. The weighted compliance minimum is selected as the objective function to maximum the mirror structural stiffness. Then sensitivity analysis method and size optimization are used to determine the mirror structure parameters. Compared with two types of commonly used lightweight configurations, the new configuration design shows obvious superiority. In addition, the surface figure root mean square (RMS) of the mirror mounted by given bipod flexure (BF) under 1 g lateral gravity is minimized only with a value of 3.58 nm, which proves the effectiveness of the design method proposed in this paper.
- Subjects :
- Surface (mathematics)
Computer science
lightweight structure
Polishing
Topology (electrical circuits)
02 engineering and technology
Topology
lcsh:Technology
01 natural sciences
lcsh:Chemistry
010309 optics
Primary mirror
Root mean square
sensitivity analysis
0103 physical sciences
General Materials Science
Sensitivity (control systems)
lcsh:QH301-705.5
Instrumentation
Configuration design
Fluid Flow and Transfer Processes
lcsh:T
multi-objective topology optimization
Process Chemistry and Technology
Topology optimization
General Engineering
021001 nanoscience & nanotechnology
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
space mirror
lcsh:Engineering (General). Civil engineering (General)
0210 nano-technology
lcsh:Physics
Subjects
Details
- ISSN :
- 20763417
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....fdaecf3177ae1144f95064b2c34441cb