Code generation and recognition using a modified ejection system in die-casting process
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https://doi.org/10.1007/s41230-020-0036-0
Code generation and recognition using a modified ejection system in die-casting process Jaekyung Song1, 2, Jeongsu Lee2, Young Chul Lee2, Byoung Jun Lee2, *Chaeho Lim1,2 1. Industrial Materials and Smart Manufacturing Engineering, Korea University of Science and Technology, Daejeon City, Republic of Korea 2. Digital Manufacturing Process Group, Korea Institute of Industrial Technology, Gyeonggi-do, Republic of Korea
Abstract: A code-generation and recognition technology that uses a modified ejection system in the diecasting process is presented. To achieve the highest level of quality management, the first requirement in the manufacturing process is to establish a product management system according to the specific product unit. Thus, a method to individually identify each product, such as a barcode or QR code, is required during the production process. Products manufactured in the die-casting process always have ejector pin (EP) marks. Herein, an ejection system was modified to generate a unique code using EP marks. This ejection system has two features: an EP with a modified head to show the direction of rotation, and a function to dependently rotate EPs (five or six EPs) with a constant angle. The EPs are numbered according to the rotation angle. Thus, the EP marks can be viewed as a five- or six-digit code. A program was also developed to individually identify the products by automatically detecting and reading the EPs using deep learning-based object detection and classification technology. Key words: code recognition; die-casting; ejection system; object detection; product management; smart manufacturing
CLC numbers: TP391.9
Document code: A
T
he die-casting process is used to produce metal parts or products that are used in the manufacture of aircraft, automobiles, and ships, as well as for various types of mechanical equipment. Improvements in the die-casting process will lead to higher quality and stability of products manufactured throughout the industry. In recent years, considerable efforts have been made to equip industry with smart processes that utilize the Internet of Things, big data analysis, and artificial intelligence at various industrial sites. The authors are conducting various pieces of research on smart die-casting processes. In particular, they are attempting to establish a smart system that can operate at low cost in small and medium-sized enterprises. A significant advantage of the smart process is the reduction in defect rate, which ensures
*Chaeho Lim Male, born in 1970, Ph.D., Principle Researcher. Research interests: numerical simulation of the casting process, additive manufacturing of metals, industrial computed tomography technology, and smart manufacturing technology for small & medium factories. E-mail: [email protected]
Received: 2020-03-09; Accepted: 2020-06-21 364
Article ID: 1672-6421(2020)05-364-08
manufacture of stable and high-quality products while reducing costs. Currently, most factories only record the defect rate a
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