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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/81885


    Title: 考量成像品質之最佳化塑膠透鏡結構設計;Optimum structure design for plastic lens with consideration of image quality
    Authors: 林陳弘;Lin, Chen-Hung
    Contributors: 光機電工程研究所
    Keywords: 塑膠透鏡;有限元素;光機轉換;最佳化;調制轉換函數;plastic lens;finite element;Opto-mechanical analysis;optimization;Modulation Transfer Function
    Date: 2019-11-22
    Issue Date: 2020-01-07 14:28:17 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 手機鏡頭透鏡與鏡筒間採干涉配合裝配會造成透鏡變形及成像品質下降,故本研究對手機鏡頭透鏡干涉裝配下的透鏡變形進行模擬,針對透鏡承靠部結構進行設計及最佳化,降低透鏡變形及改善成像品質問題。本研究採用四片透鏡成像組作為光學設計,使用電腦輔助設計軟體進行模型建置,利用有限元素軟體分析單一透鏡模型透鏡鏡面位移並擷取鏡面光學部節點資料,再將其節點位移資料透過光機轉換程式擬合出澤爾尼克多項式(Zernike Polynomials)及PV(Peak-to-Valley)值,並利用Matlab將Zernike多項式匯入光學軟體並使其匯出MTF(Modulation Transfer Function)值,以完成本論文的單一透鏡最佳化流程,最後再將各最佳化後的四片透鏡集合成一最佳化鏡頭,並對其進行成像評價。本論文最佳化分別使用PV值及MTF值作為目標函數,而透過模擬發現以MTF值作為目標函數的最佳化有較佳的結果。;For cameras in mobile phones, the lens deformation and image quality will be degraded due to the interference fit between the lens and the barrel. Therefore, this study investigates the lens deformation caused by interference fit lens assembly which is used in mobile phone lens. The mounting structure was designed and optimized to reduce the lens surface deformation and to improve the image quality. In this study, a four-lens imaging group was used as the optical design, and computer-aided design software was used for model construction. First, finite element analysis was utilized to estimate the lens surface deformation of a single-lens model. The data of surface nodes data were extracted. Then the node displacement data were used to determine the Zernike Polynomials by optomechanical transfer codes. Then Matlab was used to import the Zernike polynomials into the optical software and to calculate the MTF (Modulation Transfer Function). The flexure of each lens was optimized individually. Then the four lenses with optimum flexure designs were assembled together, and the MTF of the lens assembly was evaluated. Two objective function, the PV(Peak-to-Valley) value and the MTF value were used respective in this study. The simulation results revealed that the optimization approach which uses the MTF as the objective function leads to a better results.
    Appears in Collections:[Graduate Institute of opto-Mechatronics] Electronic Thesis & Dissertation

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