Multi-mode optimization for large optical aspheric mirror

Zhen-yu, 刘振宇 Liu; Xiao, 罗霄 Luo; Wei-jie, 邓伟杰 Deng; Ligong, 郑立功 Zheng; Xue-jun, 张学军 Zhang

doi:10.3788/ope.20132111.2791

Cited by 2 publications

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“…By calculate the dwell time map of different tool in one optimization cycle, the larger tool and the small one have complementary advantages and obtain a global optimization for multi tool and multiprocessing cycles [5] .…”

Section: Introductionmentioning

confidence: 99%

Dwell time algorithm for multi-mode optimization in manufacturing large optical mirrors

Liu

2014

SPIE Proceedings

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CCOS(Computer Controlled Optical Surfacing) is one of the most important method to manufacture optical surface. By controlling the dwell time of a polishing tool on the mirror we can get the desired material removal. As the optical surface becoming larger, traditional CCOS method can't meet the demand that manufacturing the mirror in higher efficiency and precision. This paper presents a new method using multi-mode optimization. By calculate the dwell time map of different tool in one optimization cycle, the larger tool and the small one have complementary advantages and obtain a global optimization for multi tool and multi-processing cycles. To calculate the dwell time of different tool at the same time we use multi-mode dwell time algorithm that based on matrix calculation. With this algorithm we did simulation experiment, the result shows using multi-mode optimization algorithm can improve the efficiency maintaining good precision.

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Section: Introductionmentioning

confidence: 99%

Dwell time algorithm for multi-mode optimization in manufacturing large optical mirrors

Liu

2014

SPIE Proceedings

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Statistical perception of the chaotic fabrication error and the self-adaptive processing decision in ultra-precision optical polishing

Wan

Niu

et al. 2023

Opt. Express

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Subaperture polishing is a key technique for fabricating ultra-precision optics. However, the error source complexity in the polishing process creates large fabrication errors with chaotic characteristics that are difficult to predict using physical modelling. In this study, we first proved that the chaotic error is statistically predictable and developed a statistical chaotic-error perception (SCP) model. We confirmed that the coupling between the randomness characteristics of chaotic error (expectation and variance) and the polishing results follows an approximately linear relationship. Accordingly, the convolution fabrication formula based on the Preston equation was improved, and the form error evolution in each polishing cycle for various tools was quantitatively predicted. On this basis, a self-adaptive decision model that considers the chaotic-error influence was developed using the proposed mid- and low-spatial-frequency error criteria, which realises the automatic decision of the tool and processing parameters. An ultra-precision surface with equivalent accuracy can be stably realised via proper tool influence function (TIF) selection and modification, even for low-deterministic level tools. Experimental results indicated that the average prediction error in each convergence cycle was reduced to 6.14%. Without manual participation, the root mean square(RMS) of the surface figure of a ϕ100-mm flat mirror was converged to 1.788 nm with only robotic small-tool polishing, and that of a ϕ300-mm high-gradient ellipsoid mirror was converged to 0.008 λ. Additionally, the polishing efficiency was increased by 30% compared with that of manual polishing. The proposed SCP model offers insights that will help achieve advancement in the subaperture polishing process.

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Multi-mode optimization for large optical aspheric mirror

Cited by 2 publications

References 0 publications

Dwell time algorithm for multi-mode optimization in manufacturing large optical mirrors

Dwell time algorithm for multi-mode optimization in manufacturing large optical mirrors

Statistical perception of the chaotic fabrication error and the self-adaptive processing decision in ultra-precision optical polishing

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