pISSN : 1598-706X / eISSN : 2288-8381
한국주조공학회지 (41권6호 521-527)
Study on the Process Management for Casting Defects Detection in High Pressure Die Casting based on Machine Learning Algorithm
고압 다이캐스팅 공정에서 제품 결함을 사전 예측하기 위한 기계 학습 기반의 공정관리 방안 연구
Seungro Lee, Seungcheol Lee, Dosuck Han and Naksoo Kim†
Sogang University
This study presents a process management method for the detection of casting defects during in high-pressure die casting based on machine learning. The model predicts the defects of the next cycle by extracting the features appearing over the previous cycles. For design of the gearbox, the proposed model detects shrinkage defects with data from three cycles in advance with 98.9% accuracy and 96.8% recall rates.
High Pressure Die Casting, Casting defect prediction, Process management, Machine learning and Long shortterm memory
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