Abstract
Inverse analysis is a method for determining material parameters by minimizing the difference between experimental and the finite element (FE) simulated results, such as the load-stroke curve and barreling shape of a deformed specimen using an optimum design technique. In this study, ring compression tests were conducted to predict the flow stress of materials and interfacial friction conditions. Cylinder compression tests were conducted under the same process conditions to estimate the validity of the data obtained from the ring compression tests. By comparing the experimental results with the FE simulated results, it was confirmed that flow stress and the interfacial friction condition obtained from the ring compression tests, as well as their inverse analysis, are quite reasonable. The validity of both the flow stress function and the interfacial friction condition using the above procedures was verified by the experiments.
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This paper was recommended for publication in revised form by Associate Editor Youngseog Lee
Mr. Kyoungmin Shin received his B.S. and M.S. degree from the department of Mechanical Engineering, Sogang University, Seoul, S. Korea in 2006 and 2009, respectively. Mr. Seo is currently working for Hyundai Engineering. His research interests are in the area of optimum design of electric motors, metal forming, and process design.
Naksoo Kim received his B.S. and M.S. degree from the department of Mechanical Design, Seoul National University in 1982 and 1984, respectively. He then went on to receive his Ph. D. degree from U.C. Berkeley. Dr. Kim had worked for the ERC/NSM at the Ohio State University as a senior researcher and Hongik University as an assistant professor. He is currently a professor at the department of mechanical engineering, Sogang University. Dr. Kim’s research interests are in the area of metal forming plasticity, computer aided process analysis, and optimal design
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Shin, K., Chi, S. & Kim, N. Prediction of flow stress of metallic material and interfacial friction condition at high temperature using inverse analysis. J Mech Sci Technol 24, 639–648 (2010). https://doi.org/10.1007/s12206-010-0110-4
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DOI: https://doi.org/10.1007/s12206-010-0110-4