Recent Progress of Active Support System for Large Optical Telescope Primary Mirror

Hong, 徐宏 Xu; Liwei, 杨利伟 Yang; Huisheng, 杨会生 Yang

doi:10.3788/lop55.100002

Cited by 2 publications

(1 citation statement)

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“…The thermal deformation of these spliced mirrors due to temperature changes must be accurately determined. By using an independent sub-mirror support system and a common phase correction system (i.e., submirror common phase correction device), the influence of temperature and other factors on the spatial position of the mirror can be corrected, achieving a sub-mirror confocal common phase [5][6][7][8] and achieving the optimal performance of large-aperture splicing mirrors.…”

Section: Introductionmentioning

confidence: 99%

Research on a Super-Sub-Arc Bivariate Relative Angle Thermal Deformation Testing Method without Pitch Angle Limitation

Liu,

Xue,

Wang

et al. 2023

Applied Sciences

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In light of the current situation where no testing equipment is available for measuring thermal deformation of objects, this paper proposes a novel method for accurate and precise measurement. The method overcomes the limitations of previous approaches that relied on pitch angle. By utilizing the principle of biplane multiple reflections, a bivariate laser spot displacement analysis algorithm is devised to attain highly precise measurements of bivariate angles. Additionally, a temperature gradient comparison algorithm is introduced to calculate the indicator test results under specific temperature conditions. To validate the effectiveness and reliability of this method, a testing system is constructed and utilized. The results demonstrate that the thermal deformation angle change test achieves an impressive accuracy of 0.015″ and a rate of thermal deformation angle change of 0.3247″/°C. These values are in close agreement with the previously simulated analysis result of 0.359″/°C, with only a relative error of 9.55%. Therefore, the test results confirm the efficacy and reliability of this testing method along with the feasibility of the algorithm processing.

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Section: Introductionmentioning

confidence: 99%