• Journal of the Korean Society for Precision Engineering
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• v.16 no.11
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• pp.224-233
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• 1999

The quality of injection molded parts is affected by the variables such as materials, design variables of part and mold, molding machine, and processing conditions. It is difficult to consider all the variables at the same time to predict the quality. In this paper neural network was applied to analyze the relationship between processing conditions and volumetric shrinkage of part. Engineering plastic gear was used for the study, and the learning data was extracted by the simulation software like Moldflow. Results of neural network was good agreement with simulation results. Nonlinear regression model was formulated using the test data of 3,125 obtained from neural network, Optimal processing conditions were calculated to minimize the volumetric shrinkage of molded part by the application of RQP(Recursive Quadratic Programming) algorithm.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.14 no.1
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• pp.36-43
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• 2015

Optimizing multiple design characteristics which are usually in conflict with each other in the injection molding process is frequently becoming a critical problem for designers who work in this area. The purpose of this work is to develop an automated design methodology for optimizing two such design characteristics found in injection-molded parts. A value function based on decision-making theory is used as a means of evaluating the performance of a two-characteristic design alternative. Also, a design space reduction algorithm based on Taguchi's orthogonal arrays is utilized to discover an optimal design alternative. Verification of the developed design methodology is carried out for an actual model with two design characteristics, the weld line and the gate location, to be optimized in computer simulation experiments.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.811-814
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• 1997

The injection molding process has been developed as a very important technology for the automotive and electric industries in recent years. But, in the injection molding products with rib-web structures, partial deformation by thermal volumetric shrinkage called Sink Mark, is occurred. In this study, to make explicitly characteristics of sink mechanism, an experimental approach was taken by using multi T-shaped mold cavity and FEM simulation. As a result, pressure on the packing process and the rib thickness are the most effective on sink mark depth. On the other hand, melt temperature has no effect on sink mark depth fot the same rib thickness.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.577-578
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• 2006

In this paper, the rubber behavior was calculated for obtaining the optimal process condition which is for producing a transformer with a given performance. This study was carried out using the computer simulation of injection mold filling and packing simulations. In order to remove the crack of product, proper locations of the runner and cooling system configurations could be determined. Based on these results, the transformer is developed by injection molding and guidelines of part design, mold design and processing conditions are established. Finally, the cast savings, cycle time reduce and improvement of productivity will be obtained.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.351-360
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• 2004

An optimal robust design methodology has been developed to minimize the warpage in a decorating panel of monitor molded by the plastic injection. For the associated methodology, the Taguchi's Design Of Experiment (DOE) based on orthogonal arrays and Signal-to-Noise Ratio is combined with commercial simulation tools f3r injection molding. An optimal robust design solution is statistically resulted from the computational simulation. The related experiment was done for evaluations of the warpage in the decorating panel part of monitor. This research showed that the warpage under the applied optimal design conditions was comparatively reduced.

• 한국금형공학회:학술대회논문집
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• 2008.06a
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• pp.163-166
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• 2008

Injection molding operation consists of filling, packing, and cooling phase. The highest pressure is involved during the packing phase among the operation phases. Cavity pressure depends upon velocity to pressure switchover time and magnitude of packing pressure. The cavity pressure is directly related to stress concentration in the cavity of mold. Thus the observation and control of cavity pressure is very important to prevent mold cracking. In this study, cavity pressures were observed for operational conditions using the commercial CAE software,Moldflow. Operational conditions were velocity to pressure switchover time and packing pressure. Cavity pressures were also measured directly during injection molding. Simulation and experimental results showed good agreement.

• Fibers and Polymers
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• v.4 no.2
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• pp.89-96
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• 2003

A vertebral cage is a hollow medical device which is used in spine forgery. By implanting the cage into the spine column, it is possible to restore disc and relieve pressure on the nerve roots. Most cages have been made of titanium alloys but they detract the biocompatibility. Currently PEEK (polyether ether ketone) if applied to various implants because it has good properties like heat resistance, chemical resistance, strength, and especially biocompatibility. A new shape of vertebral cage is designed and injection molding of PEEK is considered for production. Before injection molding of the cage, it is needed to evaluate process conditions and properties of the final product. Variables affecting the shrinkage of the cage are considered, e.g., injection time, packing pressure, mold temperature, and melt temperature. By using the numerical simula-tion program, MOLDFLOW, several cases are studied. Data files obtained by MOLDFLOW analysis are used for stress anal-ysis with ABAQUS, and shrinkage and residual stress fields are predicted. With these results, optimum process conditions are determined.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.2
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• pp.322-329
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• 1995

Series of experimental work was performed to mold tensile specimens by using the injection molding machine Mold temperature, melt temperature and packing time were chosen as processing parameters for studying the effects of those conditions on the linear shrinkage of final product. Here, each processing variable was decided from the numerical simulation and resin manufacturer's suggested value. The effects of molding conditions on the linear shrinkage in flow direction of the resin were analyzed by measuring the parts 2, 10, 30 and 60 days after molding. As a result, the linear shrinkage increased with the higher mold and melt temperature, and the change of mold temperature has shown more influence. The linear shrinkage of polypropylene has been found to progress up to 30 day with the lapse of the time, and the amount of the linear shrinkage has shown to be between 2.14% and 2.75%. In addition, the effects of packing pressure on the weight has shown to be extremely significant up to freezing time, and proper packing time of the tensile specimen has been found to be 2.0 seconds.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.741-742
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.445-446
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• 2012