Abstract
Neural network optimal optical design and Roll to Roll (R2R) microfabrication has been integrated in the development of a light guide film (LGF) for liquid crystal display application in this study. TracePro software was used for optical simulation work for the light guide film. Back-propagation neural network (BPNN) was applied to establish a light guide film optical quality predictor. Combined with genetic algorithms (GA), global optimization of the optical quality was achieved. The optimal pattern radii of different zones range from 40 μm to 210 μm were first transferred to an 80 μm thick stainless steel sheet through lithograpgy and etching process. The patterned sheet was then wrapped around the stainless steel roller for R2R fabrication of the patterns on a 188 μm thick PET substrate with UV resin. When operated with imprinting pressure of 0.61 MPa and substrate speed of 0.251 m/min, the LGF measurement results showed that the replication rate is around 98% while the luminace uniformity reaches 74.9%.
Published Version
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