Latin Hypercube Sampling (LHS); Lens System Design; Modulation Transfer Function (MTF); Progressive Quadratic Response Surface Modeling (PQRSM); Tolerance; Tolerance Analysis; Tolerance Optimization
Issue Date
2011-12
Publisher
(사)한국CDE학회 / Society for Computational Design and Engineering
Citation
한국CDE학회 논문집 / Korean Journal of Computational Design and Engineering. 2011-12 16:397-406
Abstract
Since tolerance allocation in a mobile phone camera manufacturing process greatly affects production cost and reliability of optical performance, a systematic design methodology for allocating optimal tolerances is required. In this study, we proposed the tolerance optimization procedure for determining tolerances that minimize production cost while satisfying the reliability constraints on important optical performance indices. We employed Latin hypercube sampling for evaluating the reliabilities of optical performance and a function-based sequential approximate optimization technique that can reduce computational burden and well handle numerical noise in the tolerance optimization process. Using the suggested tolerance optimization approach, the optimal production cost was decreased by 30.3 % compared to the initial cost while satisfying the two constraints on the reliabilities of optical performance.