Sungkyunkwan University · 工学
Professor Eun-Ho Lee's research lab specializes in materials science and mechanical engineering, focusing on the development of advanced constitutive models for plastic deformation and the non-destructive evaluation of sheet metal properties in manufacturing processes. The lab investigates smart manufacturing systems, particularly real-time control in stamping processes using artificial intelligence and non-destructive testing techniques. It also explores self-organized nanostructures, such as perfluorinated dendrimer mesophases, to understand surface-directed assembly and their structural properties at the nanoscale. The integration of physics-based modeling with experimental characterization lies at the core of the lab’s interdisciplinary approach.
Figures are computed from collected data and may differ slightly.
Abstract This paper compares artificial intelligence (AI) methods to predict mechanical properties of sheet metal in stamping processes. The deviation of the mechanical properties of each blank leads to unpredicted failures in stamping processes, such as fracture and spring back. The research team of this paper has been building a real time control system for stamping process in a smart factory. In order to facilitate that, it is necessary to predict the mechanical properties of each blank with
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