• Title/Summary/Keyword: Molding Conditions

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A Study on Injection Molding Analysis of a Plastic Rack Gear (플라스틱 랙기어의 사출성형 해석에 관한 연구)

  • Kim, Hyung-Kook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.8
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    • pp.50-55
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    • 2020
  • This study investigates the injection molding of a plastic rack gear and focuses on deflections in the part. The causes of deflections were found and resolved through a trade-off study by injection molding analysis. Based on a warpage analysis, the fiber orientation was found to be a dominant factor in the occurrence of deflections. Changes in the part design and various injection conditions were analyzed for their effects in reducing deflections. Based on the trade-off study, a new part bottom design, injection time, and melt temperature were recommended. A trial injection was done for the new plastic rack gear, and measurements showed that its flatness surpassed that of the original part and met the specified requirement. The short injection time, low melt temperature, and symmetric similar configuration of the part contributed to the reduction in deflections. Therefore, optimized gate design and injection conditions as well as a new part design were validated through injection molding analysis in this study.

Estimation of Process Parameters Using QFD and Neural Networks in Injection Molding (품질기능전개와 신경망 회로를 이용한 사출성형 공정변수의 예측)

  • Koh, Bum-Wok;Kim, Jong-Seong;Choi, Hoo-Gon
    • IE interfaces
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    • v.21 no.2
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    • pp.221-228
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    • 2008
  • The injection molding process is able to produce high precision manufactures as a single process with fast speed. However, the prices of both the mold and the molding machine are expensive, and the single process is very complex and difficult to compose of the exact relationship between the process setting conditions and the product quality. Therefore, the quality of a molded product often depends on a skillful engineer's operations in the design of both parts and molds. In this paper, the relationship between the process conditions and the defectiveness is built for better manufactures under settings of the appropriate parameters, and so it can reduce the setup time in the injection molding process. Quality Function Deployment (QFD) provides severe defectiveness factors along with the related process parameters. Also, neural networks estimate the relationship between defective factors and process setting parameters, and lead to reduce the defectiveness of molded parts.

A study on yellowing property of LGP under various injection molding conditions (사출성형 조건 변화에 따른 도광판의 황화현산에 관한 연구)

  • Lee, Sung-Jun;Min, In-Ki;Kim, Jong-Sun;Lee, Sung-Hee;Yoon, Kyung-Hwan
    • Design & Manufacturing
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    • v.9 no.2
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    • pp.20-24
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    • 2015
  • Recently, the light guide plate (LGP), a component of the BLU, becomes thinner and larger than ever. In industrial field, specialized injection molding technique is applied to mold the ultra-thin LGP such as a ultra-high speed injection molding. Usually very high melt temperature is used for low viscosity. High injection speed and melt temperature lead to yellowing of LGP. In the present paper a series of injection molding experiment was performed under various injection molding conditions. Yellow index, CIE xy, spectral transmittance of sample were measured using the UV-Visible spectrophotometer. Systematic decrease of spectral transmittance in UV-B range was found as the melt temperature was higher. Yellow index and CIE xy were became higher near the gate location in LGP. From the result of analysis of variance, the main factor to affect for yellow index was mold temperature and that for spectral transmittance(at 315 nm) was melt temperature.

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A Study on the Deflection of Large Mold for Injection Molding (대형 사출금형의 성형 시 발생하는 금형 휨에 관한 연구)

  • Hwang, Si-Hyun;Kim, Chul-Gyu;Shim, Soo-Kil;Jeong, Yeong-Deug
    • Design & Manufacturing
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    • v.8 no.1
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    • pp.1-4
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    • 2014
  • Large injection molds commonly have molding defects such as flashes and variation of product thickness. In this study, we conducted injection molding CAE analysis to find out the cavity pressure and structural analysis to find out mold deflection as input load conditions injection pressure obtained from injection molding analysis. As the results from CAE analysis, we found which element is the most effective on the mold deflection and we suggested a mold design to minimize the mold deflection.

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Numerical Study on Preform Injection Molding for the PET Bottles Manufacturing (PET 용기 제작을 위한 프리폼 사출 성형에 대한 수치적 연구)

  • Kwon, Chang-Oh;Kim, Jong-Deok;Kim, Jeong-Soon
    • Journal of the Korean Society of Industry Convergence
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    • v.10 no.4
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    • pp.285-289
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    • 2007
  • This study presents the preform injection molding of the injection stretch-blow molding process for PET bottles. The numerical analysis of the injection molding of a preform is considered in this paper using CAE with a view to minimize the warpage. In order to determine the design parameters and processing conditions in injection molding, it is very important to establish the numerical model with physical phenomenon. In this study, a three dimensional model has been introduced for the purpose and flow simulations of filling, post-filling and cooling process are carried out. The simulations resulted in the warpage in good agreement with the measurements. Also, from the result of numerical analysis, we appropriate -ly predicted the warpage, deformation and thickness distribution along the preform wall.

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Numerical study on the blowing deformation characteristics of a square shaped preform (사각 프리폼 블로우 성형 특성에 관한 수치적 연구)

  • Cho, Seung-Hyun;Song, Min-Jae;Lee, Dong-Won;KO, Young-Bae
    • Design & Manufacturing
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    • v.9 no.3
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    • pp.1-8
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    • 2015
  • This study presents the preform injection molding and the blow molding of the injection stretch-blow molding process for PET bottles. The numerical analysis of the injection molding and the blow molding of a preform is considered in this paper using CAE with a view to minimize the warpage and the thickness. In order to determine the design parameters and processing conditions in injection/blow molding, it is very important to establish the numerical model with physical phenomenon. In this study, we appropriately predicted the warpage, deformation and thickness distribution along the product walls.

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A Study on the Deflection of Large Mold for Injection Molding (대형 사출금형의 성형시 발생하는 금형 휨에 관한 연구)

  • Hwang, Si-Hyun;Kim, Chul-Gyu;Shim, Soo-Kil;Jeong, Yeong-Deug
    • 한국금형공학회:학술대회논문집
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    • 2008.06a
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    • pp.99-102
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    • 2008
  • Large injection molds commonly have molding defects such as flashes and variation of product thickness. In this study, we conducted injection molding CAE analysis to find out the cavity pressure and structural analysis to find out mold deflection as input load conditions injection pressure obtained from injection molding analysis. As the results from CAE analysis, we found which element is the most effective on the mold deflection and we suggested a mold design to minimize the mold deflection.

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A Study on Influence of Parameters and Characteristics in the Injection Process on the Birefringence and Refractive Index for Pickup Lens (Pickup 렌즈의 사출조건이 복굴절 및 굴절율에 미치는 영향에 관한 연구)

  • Lee, Seung-Joon;Hyun, Dong-Hoon
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.6
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    • pp.21-28
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    • 2007
  • 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 birefringence and refractive index for pickup lens. This paper presents the birefringence and refractive index reduced with increasing the holding pressure and also the holding pressure time. And there are interaction with birefringence and fill time in the injection process. The optimal conditions through DOE are validated by using injection molding analysis.

EFfect of Molding Temperature and Debinding Conditions on Fabrication of Alumina Component by Injection Molding (금형온도와 탈지조건이 사출성형에 의한 알루미나 부품 제조에 미치는 영향)

  • 임형택;임대순
    • Journal of the Korean Ceramic Society
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    • v.32 no.5
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    • pp.559-566
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    • 1995
  • Alumina powder was coated with stearic acid and then mixed with isotactic polypropylene, atactic polypropylene as binders at 15$0^{\circ}C$ for 2 hours. The mixture was then injection molded at various mold temperatures using injection molding machine to investigate the effect of the molding temperature and debinding parameters on the formation of the defects. The molded specimens were debinded in both air and nitrogen atmospheres. Wicking and solvent methods were also used to enhance debinding efficiency. The specimens were prefired at 120$0^{\circ}C$ and then sintered at 150$0^{\circ}C$ for 3 hours. Various defects were formed at mold temoperature of 3$0^{\circ}C$, 6$0^{\circ}C$ and 10$0^{\circ}C$ and any noticeable defect was not formed at 85$^{\circ}C$. The density of green body increased with mold temperature. Debinding in air atmosphere was more effective than in nitrogen atmosphere. Results also proved that wicking and solvent treatments helped minimize the number of defects.

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[ μ ]-Injection Molding Process Analysis for In-Plane Microneedle (In-Plane형 마이크로니들의 미세사출공정해석)

  • Kang J. J.;Heo Y. M.;Jung T. S.;Lee S. H.
    • Transactions of Materials Processing
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    • v.14 no.6 s.78
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    • pp.491-495
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    • 2005
  • Micro injection molding analysis for microneedle fabrication was performed in the present study. The dimensions of width and thickness for in-plane microneedle are $600{\mu}m$, $500{\mu}m$, respectively. A delivery system based on guidelines for traditional injection molding was designed for four-cavities molding system. To investigate the effects of processing conditions in the mirconeedle fabrication, injection molding analysis using commercial code was performed. It was shown that the total injection time has a significant effect on the fabrication of in-plane microneedles.