비구면 광학렌즈 성형에 있어서 유한요소법과 신경회로망을 이용한 사출조건 예측 시스템의 개발

The prediction of the optimum injection conditions of aspherical lens by using FEM and Neural Network

A neural network model for predicting the quality or soundness of the injected plastic aspherical lens based on process parameters has been developed. The approach uses a Real Time Recurrent Neural Network 4-5-2 (RTRN) trained based on input/output data that were taken from FE analysis worts carried out through a CAE software. The system has been developed to search an optimum set of process parameters and reduce the time required for planning the conditions of plastic injection molding at the design stage.