다이캐스팅 공정 지능화를 위한 데이터 수집, 처리, 분석 및 활용 기술 개발

Abstract

This study aims to achieve process intelligence by implementing a technology that collects, processes, analyzes, and utilizes data of die-casting processes. To achieve this goal, the system infrastructure, including hardware and software, was established to collect, process, and store data of the main die-casting processes, i.e., casting, post-processing, and quality inspection. Next, data analysis algorithms were developed to address die-casting quality problems by using the data collected from the established infrastructure. Finally, a 3D model-based visualization technology was implemented to visualize the data analysis results and support the monitoring of important data. The proposed technology was verified by implementing it in an actual die-casting factory. Furthermore, a reference model was presented for implementing the intelligent die-casting processes.