Research on Light-Small Lens Structure Design and Weight Reduction Optimization Based on Neural Network
| Autor: | Shubing An, Yiliang Liu, Shaofan Tang, Minlong Lian |
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| Rok vydání: | 2019 |
| Předmět: |
History
Specific modulus Artificial neural network Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Physics::Optics Astrophysics::Cosmology and Extragalactic Astrophysics Computer Science Applications Education law.invention Camera lens Lens (optics) Small lens law Genetic algorithm Structure design Electronic engineering Coaxial |
| Zdroj: | Journal of Physics: Conference Series. 1187:042018 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1187/4/042018 |
| Popis: | In order to meet the design requirements of low weight and high specific stiffness for a small space camera lens assembly, based on the compact coaxial four-mirror optical system, a dynamic optimization design concept is proposed firstly, and then the initial lightweight design of lens structure is realized in an integrated assembly form. And then the BP neural network & genetic algorithm is used to dynamically optimize the lens structure parameters, which reduces the weight of the whole lens while ensuring the high specific stiffness of the lens, and realizes the goal of lens lightening design. |
| Databáze: | OpenAIRE |
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