• 제목/요약/키워드: Molding method

검색결과 895건 처리시간 0.033초

Simulation of injection-compression molding for thin and large battery housing

  • Kwon, Young Il;Lim, Eunju;Song, Young Seok
    • Current Applied Physics
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    • 제18권11호
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    • pp.1451-1457
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    • 2018
  • Injection compression molding (ICM) is an advantageous processing method for producing thin and large polymeric parts in a robust manner. In the current study, we employed the ICM process for an energy-related application, i.e., thin and large polymeric battery case. A mold for manufacturing the battery case was fabricated using injection molding. The filling behavior of molten polymer in the mold cavity was investigated experimentally. To provide an in-depth understanding of the ICM process, ICM and normal injection molding processes were compared numerically. It was found that the ICM had a relatively low filling pressure, which resulted in reduced shrinkage and warpage of the final products. Effect of the parting line gap on the ICM characteristics, such as filling pressure, clamping force, filling time, volumetric shrinkage, and warpage, was analyzed via numerical simulation. The smaller gap in the ICM parting line led to the better dimensional stability in the finished product. The ICM sample using a 0.1 mm gap showed a 76% reduction in the dimensional deflection compared with the normal injection molded part.

사출성형 공정 중 물결 무늬에 대한 유한요소 해석 (Finite Element Analysis for Wave-like Flow Marks in Injection Molding)

  • S. Y Kang;Lee, W. I.
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2003년도 춘계학술대회논문집
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    • pp.474-480
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    • 2003
  • The wavelike flow mark phenomenon is one of the surface defects that can arise during the injection stage of the injection molding process. We have performed a numerical analysis using a finite element method for the injection molding to verify the validity of “Go-over” hypothesis. Also, we have compared the results of numerical analysis with available experimental data. Numerical analysis results of the flow marks are qualitatively in good agreement with experimental data of reference, but are quantitatively deviated from experimental data in a consistent manner. A parametric study has been performed to examine the correlative effects of various injection molding processing parameters and material properties on the flow mark size.

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렌즈 사출성형 공정 상태 특징 추출 및 진단 알고리즘의 개발 (A Development of Feature Extraction and Condition Diagnosis Algorithm for Lens Injection Molding Process)

  • 백대성;남정수;이상원
    • 한국정밀공학회지
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    • 제31권11호
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    • pp.1031-1040
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    • 2014
  • In this paper, a new condition diagnosis algorithm for the lens injection molding process using various features extracted from cavity pressure, nozzle pressure and screw position signals is developed with the aid of probability neural network (PNN) method. A new feature extraction method is developed for identifying five (5), seven (7) and two (2) critical features from cavity pressure, nozzle pressure and screw position signals, respectively. The node energies extracted from cavity and nozzle pressure signals are also considered based on wavelet packet decomposition (WPD). The PNN method is introduced to build the condition diagnosis model by considering the extracted features and node energies. A series of the lens injection molding experiments are conducted to validate the model, and it is demonstrated that the proposed condition diagnosis model is useful with high diagnosis accuracy.

다구찌방법을 이용한 사출성형공정의 신경회로망 모델링에 관한 연구 (A Study on Neural Network Modeling of Injection Molding Process Using Taguchi Method)

  • 최기흥;유병길;홍태민;이경돈;장낙영
    • 대한기계학회논문집A
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    • 제20권3호
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    • pp.765-774
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    • 1996
  • Computer Integrated Manufacturing(CIM) requires models of manufacturing processes to be implemented on the computer. These models are typically used for determining optimal process control parameters or designing adaptive control systems. In spite of the progress made in the mechanistic modeling, however, empirical models derived from experimental data play a maior role in manufacturing process modeling. This paper describes the development of a meural metwork medel for injection molding. This paper describes the development of a nueral network model for injection molding process. The model uses the CAE analysis data based on Taguchi method. The developed model is, then, compared with the traditional polynomial regression model to assess the applicabilit in practice.

사출성형품의 역공학에서 Geometry 정보를 이용한 정밀도 향상에 관한 연구 (A Study on Improvement of Accuracy using Geometry Information in Reverse Engineering of Injection Molding Parts)

  • 김연술;이희관;황금종;공영식;양균의
    • 한국정밀공학회지
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    • 제19권10호
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    • pp.99-106
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    • 2002
  • This paper proposes an error compensation method that improves accuracy with geometry information of injection molding parts. Geometric information can give an improved accuracy in reverse engineering. Measuring data can not lead to get accurate geometric model, including errors of physical parts and measuring machines. Measuring data include errors which can be classified into two types. One is molding error in product, the other is measuring error. Measuring error includes optical error of laser scanner, deformation by probe forces of CMM and machine error. It is important to compensate these in reverse engineering. Least square method (LSM) provides the cloud data with a geometry compensation, improving accuracy of geometry. Also, the functional shape of a part and design concept can be reconstructed by error compensation using geometry information.

Micro-CT image-based reconstruction algorithm for multiscale modeling of Sheet Molding Compound (SMC) composites with experimental validation

  • Lim, Hyoung Jun;Choi, Hoil;Yoon, Sang-Jae;Lim, Sang Won;Choi, Chi-Hoon;Yun, Gun Jin
    • Composite Materials and Engineering
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    • 제3권3호
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    • pp.221-239
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    • 2021
  • This paper presents a multiscale modeling method for sheet molding compound (SMC) composites through a novel bundle packing reconstruction algorithm based on a micro-CT (Computed Tomography) image processing. Due to the complex flow pattern during the compression molding process, the SMC composites show a spatially varying orientation and overlapping of fiber bundles. Therefore, significant inhomogeneity and anisotropy are commonly observed and pose a tremendous challenge to predicting SMC composites' properties. For high-fidelity modeling of the SMC composites, the statistical distributions for the fiber orientation and local volume fraction are characterized from micro-CT images of real SMC composites. After that, a novel bundle packing reconstruction algorithm for a high-fidelity SMC model is proposed by considering the statistical distributions. A method for evaluating specimen level's strength and stiffness is also proposed from a set of high-fidelity SMC models. Finally, the proposed multiscale modeling methodology is experimentally validated through a tensile test.

이종재료의 진전 계면 균열에 대한 동적 광탄성 실험법 (Dynamic Photoelastic Experimental Method for Propagating Interfacial Crack of Bimaterials)

  • 신동철;황재석
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2000년도 추계학술대회논문집A
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    • pp.292-297
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    • 2000
  • In this research, the dynamic photoelastic experimental hybrid method for bimaterial is introduced. Dynamic biaxial loading device is developed, its strain rate is 31.637 s-1 and its maximum impact load is 20 ton. Manufactured methods for model of the dynamic photoelastic experiment for bimaterial are suggested. They are bonding method(bonding material: AW106, PC-1) and molding method. In the bonding method, residual stress is not occurred in the manufactured bimaterial. Crack is propagated along the interface or sometimes deviated from the interface. While in the molding method, residual stress is occurred in the manufactured bimaterial. Crack is always deviated from the interface and propagated in the epoxy region(softer materila). In order to propagate with constant velocity along the interface of bimaterial with arbitrary stiffer material, edge crack should be located along the interface of the acute angle side of the softer material in the bimaterial.

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CAE와 실험계획법을 연계한 사출 성형 시스템 최적화에 관한 연구 (A Study on Optimization of Injection-molded System Using CAE and Design of Experiment)

  • 오정열;허용정
    • 한국산학기술학회논문지
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    • 제7권3호
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    • pp.271-277
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    • 2006
  • 사출 성형 공정은 저비용으로 고품질의 제품을 대량으로 얻을 수 있는 제조 공정이지만. 성형품의 품질에 영향을 주는 인자의 수가 너무 많아 모든 경우에 대하여 실험을 수행하는 것은 시간적, 경제적으로 불가능하다. 따라서 최근에 시뮬레이션 도구를 활용하여 이러한 실험을 보조하고 있고, 실험계획법 및 여러 가지 최적화 기법들이 다루어지고 있다. 인자수가 많은 경우 각 입력인자 간의 교호작용 등도 고려하면서도 실험 횟수를 줄이는 기법으로 정립된 실험계획법을 적용하여 시뮬레이션 소프트웨어를 이용한 모의 실험 데이터를 도출하였으며, 이를 바탕으로 주변의 잡음에서도 강건한 설계를 할 수 있는 다구찌 기법을 사출 성형 공정에 적용하여 최적의 사출 성형 공정 조건을 나타내었다.

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RTM 을 이용한 복합재료 Bus Housing Panel의 개발 (Development of the Composite Bus Housing Panel Using RTM)

  • 김포진;이대길
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2001년도 춘계학술발표대회 논문집
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    • pp.189-192
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    • 2001
  • Resin transfer molding process has been widely used in the automobile industry, because the product with large area can be manufactured easily and the cost for the manufacturing is lower than that of compression molding and hand lay up method. Since RTM process is suitable for large bus housing panels, in this work, the composite housing panel was manufactured by RTM process and the mechanical properties, surface quality and the condition of manufacturing process were studied.

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Formation of barrier ribs for PDP by injection molding method

  • Choi, Hak-Nyun;Kim, Yong-Seog
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2003년도 International Meeting on Information Display
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    • pp.388-390
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    • 2003
  • Paste micro-injection molding process was applied for fabrication of barrier ribs of PDP in an attempt to reduce processing steps and materials loss during the processing. For the paste, a thermally curable one was used and for the mold, a polymeric soft mold was used. It was demonstrated that the micro-molding process can be used successfully in producing barrier ribs of PDP.

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