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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 29 , No. 6

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 29, No. 6, pp.441-448
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Dec 2020
Received 17 Sep 2020 Revised 08 Nov 2020 Accepted 12 Nov 2020
DOI: https://doi.org/10.7735/ksmte.2020.29.6.441
다이캐스팅 공정 지능화를 위한 데이터 수집, 처리, 분석 및 활용 기술 개발
이주연^a^{, *}

Technologies for Collecting, Processing, Analyzing, and Utilizing Data for Intelligent Die-casting Processes
Ju Yeon Lee^a^{, *}
aManufacturing Process Platform R&D Department, Korea Institute of Industrial Technology
Correspondence to : ^*Tel: +82-31-8040-6163 E-mail address: ljy0613@kitech.re.kr (Ju Yeon Lee).



Funding Information ▼ Korea Institute of Industrial Technology JH-20-0003

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.


Keywords: Die-casting process, Edge computing, Data analytics, Defect prediction, Defect cause diagnosis, 3D Visualization

Acknowledgments

본 논문은 한국생산기술연구원의 중소･중견기업 생산기술 실용화 및 기술지원 사업의 세부사업인 “제조혁신지원사업(KITECH JH-20-0003)”의 지원으로 수행한 연구입니다.

References


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Ju Yeon Lee

Principal Researcher in the Manufacturing Process Platform R&D Department, Korea Institute of Industrial TechnologyHer research interest is Cyber-Physical Systems (CPS), Digital Twin, and Data Analytics System.

E-mail: ljy0613@kitech.re.kr