한국기계기술학회지 제24권 제5호 (p.886-892)

볼스터드 부품 단조품질 향상을 위한 공정 및 simulation 데이터 기반 예측 모델 개발

Development of Predictive Model Based on Process and Simulation Data to Improve Forging Quality of Ball Stud Parts
키워드 :
all stud(볼스터드),Forging quality(단조품질),Multi-stage cold forging(다단냉간단조),Process data(공정 데이터),FE simulation(유한요소해석)

초록

Ball stud parts are manufactured by a cold forging process, and fastening with other parts is secured through a head part cutting process. In order to improve process quality, stabilization of the forging quality of the head is given priority. To this end, in this study, a predictive model was developed for the purpose of improving forging quality. The prediction accuracy of the model based on 450 data sets acquired from the manufacturing site was low. As a result of gradually multiplying the data set based on FE simulation, it was expected that it would be possible to develop a predictive model with an accuracy of about 95%. It is essential to build automated labeling of forging load and dimensional data at manufacturing sites, and to apply a refinement algorithm for filtering data sets. Finally, in order to optimize the ball stud manufacturing process, it is necessary to develop a quality prediction model linked to the forging and cutting processes.