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Characterization of curing behavior of UV-curable LSR for LED embedded injection mold
태준성,임경규,이병옥,곽재복 한국유변학회 2016 Korea-Australia rheology journal Vol.28 No.4
For many applications, liquid silicone rubber (LSR) injection molding is widely used for their great design flexibility and high productivity. In particular, a sealing part for a mobile device such as smartphone and watch has been produced by injection molding. While thermally curable LSR causes deformation problem due to a high mold temperature, UV-curable LSR can be molded at room temperature, which has advantages for over-molding with inserts of temperature-sensitive materials. Ultraviolet light-emitting diodes (UV LEDs) have advantages such as a longer service life, a lower heat dissipation, and smaller size to equip into the mold than conventional halogen or mercury UV lamps. In this work, rheological behavior of UV-curable LSR during curing process was analyzed by UV LEDs available in the market. UV-LEDs of various wave lengths and intensities were tested. The steady shear test was applied to find the starting time of curing and the SAOS was applied to find the ending time of curing to estimate processing time. In addition, the hardness change with irradiation energy was compared with the rheological data to confirm the reliability of the rheological test.
오류역전파 알고리즘을 이용한 최적 사출성형 냉각시스템 설계
태준성(J. S. Tae),최재혁(J. H. Choi),이병옥(B. O. Rhee) 한국소성가공학회 2009 한국소성가공학회 학술대회 논문집 Vol.2009 No.5
The cooling stage greatly affects the product quality in the injection molding process. The cooling system that minimizes temperature variance in the product surface will improve the quality and the productivity of products. In this research, we tried the back-propagation algorithm of artificial neural network to find an optimum solution in the cooling system design of injection mold. The cooling system optimization problem that was once solved by a response surface method with 4 design variables was solved by applying the back-propagation algorithm, resulting in a solution with a sufficient accuracy. Furthermore the number of training points was much reduced by applying the fractional factorial design without losing solution accuracy.
오류역전파 알고리즘을 이용한 사출성형 금형 냉각회로 최적화
이병옥,태준성,최재혁,Rhee, B.O.,Tae, J.S.,Choi, J.H. 한국생산제조학회 2009 한국생산제조학회지 Vol.26 No.3
The cooling stage greatly affects the product quality in the injection molding process. The cooling system that minimizes temperature variance in the product surface will improve the quality and the productivity of products. The cooling circuit optimization problem that was once solved by a response surface method with 4 design variables. It took too much time for the optimization as an industrial design tool. It is desirable to reduce the optimization time. Therefore, we tried the back-propagation algorithm of artificial neural network(BPN) to find an optimum solution in the cooling circuit design in this research. We tried various ways to select training points for the BPN. The same optimum solution was obtained by applying the BPN with reduced number of training points by the fractional factorial design.
Detection Method of Filling Imbalance in a Multi-Cavity Mold for Small Lens
김진수,태준성,전주형,최재혁,이병옥 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
Due to the small product size, multi-cavity molds are used for the phone camera lenses. It is well known that filling imbalance oftenoccurs in multi-cavity molds by shear heating in the runner. However, detecting the filling imbalance is not an easy task in the mold. In this work, we tried to detect filling imbalance by temperature sensors in the runner and indirect pressure sensors at the bottomof lens core. In order to confirm the filling imbalance, short shot tests were carried out at various injection speeds. Temperature andpressure signals were analyzed for a correlation with the short shot test. Temperature signal showed a reliable correlation with respectto the resin-arrival-time (RAT) difference, but pressure signal did not produce a reliable result.
사출금형 냉각회로 자동최적화를 위한 설계변수 감소 방안
이병옥,최재혁,태준성,Rhee, B.O.,Choi, J.H.,Tae, J.S. 한국생산제조학회 2009 한국생산제조학회지 Vol.26 No.3
The injection mold cooling circuit optimization was studied with a response surface method in the previous research. It took so much time to find an optimum solution for a large product due to an extensive amount of calculation time for the CAE analysis. In order to use the optimization technique in the actual design process, the calculation time should be much reduced. In this study, we tried to reduce the number of design variables with the concept of the close relationship between the depth and the distance of cooling channel. The optimum ratio of the distance to the depth of cooling channels for a 2-dimensional problem was 2.0 so that the optimum ratio was again sought out for 4 large automotive parts. Therefore, the number of design variables for the cooling circuit optimization can be reduced in half, resulting in much faster running time for the optimization as a design tool.