한국기계기술학회지 제24권 제5호 (p.899-904)

머신러닝 알고리즘을 이용한 소형 플라스틱 렌즈 사출물의 변형 예측

Prediction of Deformation of Small Plastic Lens using Machine Learning Algorithm
키워드 :
Injection molding analysis(사출성형해석),Machine learning(기계학습),Plastic lens(플라스틱 렌즈),Artificial intelligence(인공 지능),Big data(빅 데이터)

초록

For a plastic diffusion lens to uniformly diffuse light, it is important to minimize deformation that may occur during injection molding and to minimize deformation. It is essential to control the injection molding condition precisely. In addition, as the number of meshes increases, there is a limitation in that the time required for analysis increases. Therefore, We applied machine learning algorithms for faster and more precise control of molding conditions. This study attempts to predict the deformation of a plastic diffusion lens using the Decision Tree regression algorithm. As the variables of injection molding, melt temperature, packing pressure, packing time, and ram speed were set as variables, and the dependent variable was set as the deformation value. A total of 256 injection molding analyses were conducted. We evaluated the prediction model's performance after learning the Decision Tree regression model based on the result data of 256 injection molding analyses. In addition, We confirmed the prediction model's reliability by comparing the injection molding analysis results.