• Title, Summary, Keyword: Injection Molding

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Effects of holding pressure affecting cooling time in injection molding (사출성형시 보압이 냉각시간에 미치는 영향)

  • Mun, Yeong-Bae;Choi, Yun-Sik;Jung, Yeong-Deuk
    • Journal of the Korea Society of Die & Mold Engineering
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    • v.2 no.1
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    • pp.39-43
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    • 2008
  • There occur not only many problems in the injection process but also low quality productivity due to the injection conditions of various injection factors. Injection molding process factors such as molding temperature, injection pressure, flow rate and flow velocity, must be controlled properly in filling and packing phases in the injection molding process. In this study, effects of these factors on the injection molding were investigated through the flow analysis for the holding pressure affecting cooling time. Results of this study would be helpful to setting of holding pressure for optimization of forming condition in order to reduce cooling time in injection molding.

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Manufacturing and Molding Technology of $500{\mu}m$ 8Cavity Injection Molding System (500um급 8캐비티 사출금형설계 제작 및 성형기술)

  • Lee, S.H.;Cho, K.H.;Lee, J.W.;Ko, Y.B.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.444-447
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    • 2008
  • Recently, the need of thin-walled injection molding and enhancement of its productivity is greatly increased. In this study, we designed and manufactured a injection molding system, which can mold a part with the thickness of $500{\mu}m$ and 8 cavity. And processing technique for the multi-cavity injection molding system, which is capable of mass productivity on the plastic parts, was considered. The problems of unbalance/imbalance on the molding process for the multi-cavity mold were predicted by numerical analysis using plastic injection molding commercial code. In addition, controllable system of melt front filling was introduced for a balanced filling using the mold temperature sensor on injection mold. It was shown that balanced filling with the suggested injection molding system was possible for $500{\mu}m$ plastic parts with 8 cavity layout.

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A Study on the Low Pressure Injection Molding of Automotive Seat-back Cover (자동차용 시트백 커버의 저압사출성형에 관한 연구)

  • Ko, Byung-Doo;Ham, Kyoung-Chun;Jang, Dong-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.12
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    • pp.100-106
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    • 2008
  • In this paper, the injection molding process of automotive seat-back cover is analyzed in terms of simulation and of experiment. FE analysis was used to obtain molding conditions such as injection pressure, filling pattern, packing, shrinkage. Vacuum system for low pressure injection molding is developed in the experiment. Low pressure injection molded parts have been compared with conventional molded parts in terms of molding quality and mechanical properties. Based on the results, good product and the productivity improvement can be obtained in low pressure injection molding for automotive seat-back cover.

Fault Detection and Diagnosis based on Fuzzy Algorithm in the Injection Molding Machine Barrel Temperature (사출 성형기 Barrel 온도에 관한 퍼지알고리즘 기반의 고장 검출 및 진단)

  • 김훈모
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.11
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    • pp.958-962
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    • 2003
  • We acquired data of injection molding machine in operation and stored the data in database. We acquired the data of injection molding machine for fault detection and diagnosis (FDD) continuously and estimated the fault results with a fuzzy algorithm. Many of FDD are applied to a huge system, nuclear power plant and a computer numerical control(CNC) machine for processing machinery. But, the research of FDD is rare in injection molding machine compare with computer numerical control machine. We appraise the accuracy of the FDD and the limit of the application to the injection molding machine. We construct the fault detection and diagnosis system based on fuzzy algorithm in the injection molding machine. Data of operating injection molding machine are acquired in order to improve the reliability of detection and diagnosis.

Injection/compression molding for micro pattern (미세패턴 성형을 위한 사출 압축 성형 공정 기술)

  • Yoo Y.E.;Kim T.H.;Kim C.W.;Je T.J.;Choi D.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.100-104
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    • 2005
  • The injection molding is very effective process for various plastic products due to its high productivity. It is also good fur precise products like optical parts. Various thermoplastic materials are also available with this injection molding process. In recent, however, as the overall size of the product increases and micro or nano scale of patterns are applied to the products, we now have some problems such as low fidelity of the replication of the pattern, high molding pressure, or warpage from the in-mold stress. Injection/compression molding is studied to overcome those problems in molding large thin plate with micro pattern array on its surface. An injection compression mold is designed to 3 pieces mold for side gate. We install 4 pressure transducers and 9 thermocouples to measure the melt pressure and surface temperature in the cavity during the process. As a result, the maximum molding pressure for injection compression molding is reduced to 1/3 compared to injection molding and the uniformity of the pressure in the cavity is enhanced by about 15%.

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A Study on Optimal Solution of Short Shot Using Fuzzy Logic Based Neural Network(FNN) (퍼지-신경망을 이용한 미성형 사출제품의 최적해결에 관한 연구)

  • Kang, Seong-Nam;Huh, Yong-Jeong;Cho, Hyun-Chan
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.83-86
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    • 2001
  • In injection molding, short shot is one of the frequent and fatal defects. Experts of injection molding usually adjust process conditions such as injection time, mold temperature, and melt temperature because it is the most economic way in time and cost. However it is a difficult task to find appropriate process conditions for troubleshooting of short shot as injection molding process is a highly nonlinear system and process conditions are coupled. In this paper, a fuzzy neural network(FNN) has been applied to injection molding process to shorten troubleshooting time of short shot. Based on melt temperature and fill time, a reasonable initial mold temperature is recommended by the FNN, and then the mold temperature is inputted to injection molding process. Depending on injection molding result, specifically the insufficient quantity of an injection molded part, an appropriate mold temperature is recommend repeatedly through the FNN.

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A Study of Technical Adapting on Injection Molding for Magnesium Alloy (마그네슘합금 사출성형의 기술적용에 관한 연구)

  • 강태호;김인관;최준영;김영수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.833-836
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    • 1997
  • Magnesium alloys are one of light weight material. Strength and stiffness of Magnesium alloys are enough to use for commercial product. Demand for strong, lightweight parts several computer and electronics have driven much of Magnesium injection molding's growth so far. And it is eighth most abundant resource on earth. In electronic device, electromagnetic interface and electrostatic discharge can affect performance. Magnesium injection molding is similar to normal plastic injection molding process. But some process condition is different. Especially injection speed and process temperature are so differs from other injection molding system. It just start for make something. But Magnesium injection molding is one of best alternate process for producing metal alloy part.

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A Study on Optimal Solution of Short Shot Using Modular Fuzzy Logic Based Neural Network (MENN) (모듈형 퍼지-신경망을 이용한 미성형 사출제품의 최적 해결에 관한 연구)

  • 강성남;허용정;조현찬
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.6
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    • pp.465-469
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    • 2001
  • In injection molding short shot is one of the frequent and fatal defects. Experts of Injection molding usually adjust process conditions such as injection time, mold temperature, and melt temperature because it is most economic way in time and cost. However, it is difficult task to find appropriate process conditions for troubleshooting of short shot as injection molding process is a highly nonlinear system and process conditions are coupled. In this paper, a modular fuzzy neural network (MFNN) has been applied to injection molding process to shorten troubleshooting time of short shot. Based on melt temperature and fill time, a reasonable initial mo이 temperature is recommenced by the NFNN, and then the mold temperature is inputted to injection molding process. Depending on injection molding result, specifically the insufficient quantity of an injection molded part. and appropriate mold temperature is recommend repeatedly through the NFNN.

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Micro Parts Machining and Injection Molding Technology (마이크로 금형 가공 및 사출성형에 관한 연구)

  • 최두선;제태진;이응숙;신보성
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • pp.452-457
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    • 2003
  • As a fundamental study on developing elements with micro shape, micro mold parts machining and experiment of injection molding using it were performed. The ultra precision micro machining system with high functionality was fabricated, and utilized in the machining of micro parts. By using this machining system and micro end-mill tool, a micro circle column structure of high aspect ratio, diameter 60 $\mu\textrm{m}$, height 500 $\mu\textrm{m}$, was fabricated. And a micro lens molds were fabricated by using ball end-mill tool of 300 $\mu\textrm{m}$ diameter and diamond fly-cut tool of 150 $\mu\textrm{m}$ radius. A micro injection molding machine, which is clamping force 1.75 ton, injection capacity 2.8cc, was fabricated for injection molding experiment using micro molds. The injection molding experiment was performed by using the injection molding machine, micro cylinder structures and lens molds. This paper introduces these micro machining system and injection molding machine and demonstrates examples of injection molding using fabricated molds.

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A Study on the Effects of Filling and Packing Phases on Injection Molding Process (충전과 보압과정이 사출성형공정에 미치는 영향에 관한 연구)

  • 김현필;김용조
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.11 no.4
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    • pp.44-53
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    • 2002
  • Injection molding process factors such as molding temperature, injection pressure, flow rate and flow velocity, must be controlled properly in filling and packing phases in the injection molding process. In this study, effects of these factors on the injection molding were investigated through the flow analysis for the filling and packing phases. Molding troubles like flow mark weld line, sink ma가 short shot and warpage car be caused by these injection molding process factors. Among them the short shot was caused by the fact that the packing pressure could not reach properly to the filling end part in the packing phase and hence the flow rate could not be supplied to the full. In addition as the flow rate for the volumetric shrinkage during the f개zen phase could not be supplied Properly by the packing pressure, the short shot appeared. Here, the volumetric shrinkage reduced with increasing the packing pressure and also the warpage of molded part increased with increasing the packing Pressure.