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16:20
20 mins
Analysis of Non-Newtonian Ink Transfer in Offset Printing using AI interpolation
Mohammad Nazemi babadi, Suhwan Lee, Eunseop Yeom
Session: Data processing and visualization I
Session starts: Wednesday 05 November, 15:40
Presentation starts: 16:20
Room: Lecture room B


Mohammad Nazemi babadi (pusan national university)
Suhwan Lee (pusan national university)
Eunseop Yeom (pusan national university )


Abstract:
This research investigates the ink transfer process in offset printing with a focus on the behavior of non-Newtonian fluids. Simulations were conducted using OpenFOAM software, employing the Carreau model to characterize the non-Newtonian viscosity and the volume of fluid (VOF) method to track the air-ink interface. The effects of critical parameters, such as contact angles, Reynolds number (Re), and Capillary number (Ca), on break time (BT) and ink transfer ratio (TR) were analyzed. Results show that contact angle has the most substantial impact on ink transfer, with a 44% reduction in TR observed when the top plate angle increases from 15° to 75°. To establish contact angle relationships for BT and TR varying Re and Ca, artificial intelligence (AI) interpolation was applied. Optimization of the ink transfer process was carried out using response surface methodology, offering effective solutions to enhance performance.