• Title/Summary/Keyword: Molding Conditions

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Trouble Shooting of Short Shot in Injection Molding By Using Fuzzy Logic Algorithm (퍼지 논리 알고리즘에 의한 사출제품의 미성형 해결)

  • Kang, Seong-Nam;Huh, Yong-Jeong;Cho, Hyun-Chan
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.65-68
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    • 2001
  • Short shot is a molded part that is incomplete since insufficient material was injected into the mold. Remedial actions to solve short shot can be done by injection molding experts based on their empirical knowledge. Modifying mold and part, changing resin to less viscous one, and adjusting process conditions are general remedies. Experts of injection molding might try to adjust process conditions such as mold temperature, melt temperature, injection time based on their empirical knowledge as the first remedy because adjustment of process conditions is the most economic way in time and cost. However it is difficult to find appropriate process conditions as they are highly coupled and there are so many elements to be considered. In this paper, a fuzzy logic algorithm has been proposed to find an appropriate mold temperature. With the percentage of the insufficient Quantity of an injection molded part, an appropriate mold temperature can be obtained by the fuzzy logic algorithm.

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Fuzzy Logic-Based Moldability-Conforming System in Injection Molding

  • Kang, Seong-Nam;Huh, Yong-Jeong;Huh, Yong-Jeong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.49-52
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    • 2002
  • Short shot is a molded part that is incomplete since insufficient material was injected into the mold. Remedial actions to solve short shot can be dune by injection molding experts based on their empirical knowledge. Modifying mold and part, changing resin to less viscous one, and adjusting process conditions are general remedies. Experts of injection molding might try to adjust process conditions such as mold temperature, melt temperature, injection time based on their empirical knowledge as the first remedy because adjustment of process conditions is the most economic way in time and cost. However it is difficult to find appropriate process conditions as they are highly coupled and there are so many elements to be considered. In this paper, a fuzzy logic algorithm has been proposed to find an appropriate mold temperature. With the percentage of the insufficient quantity of an injection molded part, an appropriate mold temperature can be obtained by the fuzzy logic algorithm.

Finite Element Analysis of Injection/Compression Molding Process (사출압축성형 공정에 대한 유한요소 해석)

  • 이호상
    • Transactions of Materials Processing
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    • v.13 no.2
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    • pp.180-187
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    • 2004
  • A computer code was developed to simulate the filling stage of the injection/compression molding process by a finite element method. The constitutive equation used here was the compressible Leonov model. The PVT relationship was assumed to follow the Tait equation. The flow-induced birefringence was related to the calculated flow stresses through the linear stress-optical law. Simulations of a disk part under different process conditions including the variation of compression stroke and compression speed were carried out to understand their effects on birefringence variation. The simulated results were also compared with those by conventional injection molding.

A Study on Properties of Waste Wood-Plastic Composite Panels (폐목재-플라스틱을 이용한 복합패널의 특성 연구)

  • Mun, Kyoung-Ju;Choi, Nak-woon;Choi, San-Ho
    • Journal of the Korea Organic Resources Recycling Association
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    • v.12 no.4
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    • pp.85-94
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    • 2004
  • Waste wood-plastic composite panels are made on different hot press molding conditions, and tested for apparent density, water absorption, expansion in thickness and flexural strength. From the test results, regardless of molding temperature and molding time, the apparent density of the composite panels is increased with an increase in the molding pressure, while their water absorption is decreased with an increase in the molding pressure. The flexural strength of the composite panels is markedly increased with increasing molding pressure, molding temperature and molding time, and tends to become nearly constant at a molding temperature of $120^{\circ}C$ and a molding time of 15min.

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A Study on Improvement of Flow Characteristics for Thin-Wall Injection Molding by Rapid Mold Heating (급속 금형가열에 의한 박육 사출성형의 유동특성 개선에 관한 연구)

  • Park Keun;Kim Byung H.
    • Transactions of Materials Processing
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    • v.15 no.1 s.82
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    • pp.15-20
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    • 2006
  • The rapid thermal response (RTR) molding is a novel process developed to raise the temperature of mold surface rapidly to the polymer melt temperature prior to the injection stage and then cool rapidly to the ejection temperature. The resulting filling process is achieved inside a hot mold cavity by prohibiting formation of frozen layer so as to enable thin wall injection molding without filling difficulty. The present work covers flow simulation of thin wall injection molding using the RTR molding process. In order to take into account the effects of thermal boundary conditions of the RTR mold, coupled analysis with transient heat transfer simulation is suggested and compared with conventional isothermal analysis. The proposed coupled simulation approach based on solid elements provides reliable thin wall flow estimation for both the conventional molding and the RTR molding processes.

The Change of Mechanical Properties with Forming Conditions of Thermoplastic Composite in Compression Molding (열가소성 복합재료의 압축성형조건에 따른 기계적 특성 변화)

  • Lee, Jung-Hui;Lee, Ho-Eon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.9
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    • pp.1416-1422
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    • 2001
  • The objective of this work was to characterize mechanical properties of thermoplastic composites with various forming conditions in compression molding. Randomly oriented long glass fiber reinforced polypropylene(PP) was used in this work. The composite materials contained 20%, 30%, and 40% glass fiber by weight. Compression molding was conducted at various mold temperatures and charge sizes. The temperatures on the mold surface and at the material in the mid-plain were monitored during the molding. Differential Scanning Calorimeter was used to measure crystallinity at both in-side and out-side of the sheet material. Crystallinity at each temperature was also measured by X-ray diffractometer. Dimensional stability was studied at various conditions with the spring forward angle. Among the processing parameters, the crystallization time at the temperature above 130$^{\circ}C$, was found to be the most effective. Spring-forward angle was reduced and the tensile modulus was increased as the mold temperature increased.

The Surface Roughness of Injection Product according to the change of Injection Conditions (성형조건에 따른 성형품의 표면 거칠기 변화)

  • Park, Joon-Hyoung;Kim, Kuy-Bok;Yoon, Se-Kwon;Lee, Hyeon-Woo;Kim, Sun-Kyung
    • Design & Manufacturing
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    • v.8 no.2
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    • pp.12-17
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    • 2014
  • Currently, injection molding process is a very useful technique that be applied to many field. And injection molding technology has been commercial based on many studies. However, there is no standard of surface roughness because there are few studies about surface technology of injection product. In addition, when designing the mold, changes of the core surface and the injection conditions are not considered. In this paper, change of surface according to the core and the injection conditions was compared with the surface of the injection product. Accumulation of these technologies will propose direction in mold design, manufacturing and injection molding technology.

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Optimization of Process Condition for Fe Nano Powder Injection Molding

  • Oh, Joo Won;Lee, Won Sik;Park, Seong Jin
    • Journal of Powder Materials
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    • v.24 no.3
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    • pp.223-228
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    • 2017
  • Nanopowders provide better details for micro features and surface finish in powder injection molding processes. However, the small size of such powders induces processing challenges, such as low solid loading, high feedstock viscosity, difficulty in debinding, and distinctive sintering behavior. Therefore, the optimization of process conditions for nanopowder injection molding is essential, and it should be carefully performed. In this study, the powder injection molding process for Fe nanopowder has been optimized. The feedstock has been formulated using commercially available Fe nanopowder and a wax-based binder system. The optimal solid loading has been determined from the critical solid loading, measured by a torque rheometer. The homogeneously mixed feedstock is injected as a cylindrical green body, and solvent and thermal debinding conditions are determined by observing the weight change of the sample. The influence of the sintering temperature and holding time on the density has also been investigated. Thereafter, the Vickers hardness and grain size of the sintered samples have been measured to optimize the sintering conditions.

Effect of the Molding Conditions on Formability in Progressive Glass Molding Press (순차이송방식 GMP 공정에서 공정변수가 유리렌즈 성형성에 미치는 영향)

  • Jung, T.S.;Park, K.S.;Kim, D.S.
    • Transactions of Materials Processing
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    • v.18 no.8
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    • pp.633-639
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    • 2009
  • Remarkable progress had been made in both technology and production of optical elements including aspheric lens. In the past, precision optical glass lenses were produced through multiple processes such as grinding and polishing, but mass production of aspheric lenses requiring high accuracy and having complex profile was rather difficult. Against such a background, the high-precision optical GMP process was developed with an eye on mass production of precision optical glass pasts by molding press. This GMP process can produce with precision and good repeatability special form lenses such as for cameras, video cameras, aspheric lenses for optical items. In this study, Design Of Experiment(Taguchi method) was adopted to find a tendency of molding conditions that influence formability. Three main factors for molding conditions were selected based on pressure at pressing stage and temperature, pressure at cooling stage. Also, the DOE was carried out and the interference patterns were measured to evaluate the formability of GMP process. From the results, it was found that the cooling pressure is the most sensitive parameter for progressive GMP process.