Abstract
Flow behavior for different coating conditions in in-mold coating (IMC) process was investigated. Silicon oil with viscosities of 100, 350 and 500 cps was used as model coating materials for the process and was injected into the mold cavity by using a syringe pumping machine. Flow patterns were recorded through a transparent poly (methyl methacrylate) (PMMA) window mounted in front of the mold. Flow shape index k, which is defined as the ratio of the downward flow length to the horizontal average flow length, was obtained for each testing condition. The flow characteristics, such as shape, stability, and uniformity, can be expressed in terms of the ratio k. This flow shape index analysis was used to investigate how the flow inside the mold is affected by resin viscosity, coating thickness, and injection rate, which are major parameters in the IMC process.
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Yeong-Eun Yoo has worked on polymer processing such as injection molding. His main research includes injection molding of nano/micro structures, composites material injection molding, and coating process. He joined the Korea Institute of Machinery and Materials in 2003. He is also affiliated with the University of Science and Technology. He worked at LG Chem. in Korea from 2000 to 2003 and at the UIUC in U.S.A. as a post-doc. from 1997 to 2000 after completing his degrees in mechanical engineering at the Seoul National University in Korea: S.B. in 1990, S.M. in 1992, and Ph.D. in 1997.
Phuong NguyenThi has worked on polymer processing including injection molding/in-mold coating process, and mixing test. She is expecting to finish her Master’s studies at University of Science and Technology in Daejeon-Korea, where she is majoring in Nano-Mechatronics. She joined the Korea Institute of Machinery and Materials in 2011 under the department of nano-manufacturing technology, nano convergence and manufacturing systems research division.
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NguyenThi, P., Kwon, A., Yoo, YE. et al. Model study on flow behavior for investigating coating conditions in the in-mold coating process. J Mech Sci Technol 27, 2967–2971 (2013). https://doi.org/10.1007/s12206-013-0811-6
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DOI: https://doi.org/10.1007/s12206-013-0811-6