The Study of Parameter Optimization for Microlens Array by Genetic Algorithm

• Main Authors: Yi-Hsien Chou, 周宜賢
• Other Authors: 邱垂昱
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/meyu4t

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 99 === Because of the demand of consuming market, such as size reducing and function upgrading, modern optical research focuses on micro optical research like microlens array especially. Microlens array is from an idea that human learned from nature world, and it is one of the fields of micro optical territory, which is closer to our daily life. It could be used to enhance the efficiency of flat panel display backlight, apply on fiber coupling, and apply on wave-front detection. Many processes have been developed to enhance precision, but rare of them could be used to apply on mass production. In this study, the data obtained from the experiments of micro injection molding, micro injection compression molding, and hot embossing is be used. We apply backpropagation to build up a prediction model, and apply GA (genetic algorithm) for global optimum search with less data. By the process above, obtain the optimal process parameters combination and assist the enhancement of microlens array replication.