BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 28
SUMMARY:Digitalization of galvanizing process using optical flow method of computer vision technology
DESCRIPTION:So far, many researchers have made various efforts to improve the surface quality for automotive exterior sheet steel. Dross and Ash defects, which are major defects, must be effectively controlled to ensure the surface quality of automotive exterior sheet steel. In order to control these defects, various factors such as chemical composition, thermal equilibrium, and level management of galvanizing bath must be considered. This research relates to a process performed within a dam type snorkel included in the lower part of the snout facility, and this research improved an area where it was difficult for workers to monitor and control in real time and made the process smart. For this purpose, we’ll use camera and computing vision technology to analyze floating matter and flow rate of molten zinc on snorkel with optical technology to develop alarm system for operational risk, develop automatic control system linked to other facilities, and use it for process analysis. We’ll introduce the current status of technology development and additional process digitization plans using optical analysis technology of computing vision for the production of high-quality automotive exterior materials.
CLASS:PUBLIC
DTSTART:20230614T113000
DTEND:20230614T115000
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END:VCALENDAR