Title:
ARTIFICIAL INTELLIGENCE-UTILIZING PROCESS MANAGEMENT SYSTEM FOR PREDICTING PRODUCT DEFECT IN ADVANCE IN HIGH-PRESSURE DIE-CASTING PROCESS
Document Type and Number:
WIPO Patent Application WO/2023/113317
Kind Code:
A1
Abstract:
Disclosed is a product defect prediction system that is capable of predicting defective product manufacturing in advance in a die-casting process. According to the present invention, sensor data is generated through a sensor unit installed in a fixed mold, and a determination unit receives the sensor data and compares the sensor data with reference data to predict whether a defective product is manufactured in advance. Here, the determination unit may learn by itself, thereby further increasing the accuracy of determination.
Inventors:
KIM NAK SOO (KR)
LEE SEUNG RO (KR)
LEE SEUNG CHEOL (KR)
LEE SEUNG RO (KR)
LEE SEUNG CHEOL (KR)
Application Number:
PCT/KR2022/019454
Publication Date:
June 22, 2023
Filing Date:
December 02, 2022
Export Citation:
Assignee:
UNIV SOGANG RES & BUSINESS DEVELOPMENT FOUND (KR)
International Classes:
B22D17/32; B22D2/00; B22D46/00
Foreign References:
| JP2009298033A | 2009-12-24 | |||
| KR20130005259U | 2013-09-05 | |||
| DE4225879A1 | 1993-02-18 | |||
| KR20210067183A | 2021-06-08 |
Other References:
SEUNGRO LEE, SEUNGCHEOL LEE, DOSUCK HAN, NAKSOO KIM: "Study on the Process Management for Casting Defects Detection in High Pressure Die Casting based on Machine Learning Algorithm", JOURNAL OF KOREA FOUNDRY SOCIETY, KR, vol. 41, no. 6, 1 December 2021 (2021-12-01), KR, pages 521 - 527, XP009547110, ISSN: 1598-706X
Attorney, Agent or Firm:
IPCJ PATENT & LAW FIRM (KR)
Download PDF: