Code generation and recognition using a modified ejection system in die-casting process
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 pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundry Journal Agency
2020-09-01
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| Series: | China Foundry |
| Subjects: | |
| Online Access: | https://link.springer.com/article/10.1007/s41230-020-0036-0 |
| _version_ | 1818161866370711552 |
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| author | Jaekyung Song Jeongsu Lee Young Chul Lee |
| author_facet | Jaekyung Song Jeongsu Lee Young Chul Lee |
| author_sort | Jaekyung Song |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T16:24:35Z |
| format | Article |
| id | doaj.art-cd8fd840a99e4e7aa1d38542abf910ab |
| institution | Directory Open Access Journal |
| issn | 1672-6421 |
| language | English |
| last_indexed | 2024-12-11T16:24:35Z |
| publishDate | 2020-09-01 |
| publisher | Foundry Journal Agency |
| record_format | Article |
| series | China Foundry |
| spelling | doaj.art-cd8fd840a99e4e7aa1d38542abf910ab2022-12-22T00:58:45ZengFoundry Journal AgencyChina Foundry1672-64212020-09-0117536437110.1007/s41230-020-0036-0Code generation and recognition using a modified ejection system in die-casting processJaekyung Song0 Jeongsu Lee1 Young Chul Lee2Industrial Materials and Smart Manufacturing Engineering, Korea University of Science and Technology, Daejeon City, Republic of KoreaDigital Manufacturing Process Group, Korea Institute of Industrial Technology, Gyeonggi-do, Republic of KoreaDigital Manufacturing Process Group, Korea Institute of Industrial Technology, Gyeonggi-do, Republic of KoreaA 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.https://link.springer.com/article/10.1007/s41230-020-0036-0code recognition; die-casting; ejection system; object detection; product management; smart manufacturing |
| spellingShingle | Jaekyung Song Jeongsu Lee Young Chul Lee Code generation and recognition using a modified ejection system in die-casting process China Foundry code recognition; die-casting; ejection system; object detection; product management; smart manufacturing |
| title | Code generation and recognition using a modified ejection system in die-casting process |
| title_full | Code generation and recognition using a modified ejection system in die-casting process |
| title_fullStr | Code generation and recognition using a modified ejection system in die-casting process |
| title_full_unstemmed | Code generation and recognition using a modified ejection system in die-casting process |
| title_short | Code generation and recognition using a modified ejection system in die-casting process |
| title_sort | code generation and recognition using a modified ejection system in die casting process |
| topic | code recognition; die-casting; ejection system; object detection; product management; smart manufacturing |
| url | https://link.springer.com/article/10.1007/s41230-020-0036-0 |
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