• Title/Summary/Keyword: SMC Materials

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High-strength Soft Magnetic Composite with Self-lubricating Resin

  • Miyahara, Masahisa;Tanaka, Yoshihiro;Igarashi, Kazunori;Morimoto, Koichiro
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09b
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    • pp.1173-1174
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    • 2006
  • Improvement of the strength is one of the most important subjects on soft magnetic composite (SMC) to increase the applica ble items. In this study, lubricants for inner lubricating SMC, which can be produced in lower cost than die wall-lubricatin g SMC, varied to investigate their effect on the strength. The newly developed SMC with self-lubricating resin shows high st rength equivalent to that of SMC obtained by die wall lubrication.

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Development of RVE Reconstruction Algorithm for SMC Multiscale Modeling (SMC 복합재료 멀티스케일 모델링을 위한 RVE 재구성 알고리즘 개발)

  • Lim, Hyoung Jun;Choi, Ho-Il;Yoon, Sang Jae;Lim, Sang Won;Choi, Chi Hoon;Yun, Gun Jin
    • Composites Research
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    • v.34 no.1
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    • pp.70-75
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    • 2021
  • This paper presents a novel algorithm to reconstruct meso-scale representative volume elements (RVE), referring to experimentally observed features of Sheet Molding Compound (SMC) composites. Predicting anisotropic mechanical properties of SMC composites is challenging in the multiscale virtual test using finite element (FE) models. To this end, an SMC RVE modeler consisting of a series of image processing techniques, the novel reconstruction algorithm, and a FE mesh generator for the SMC composites are developed. First, micro-CT image processing is conducted to estimate probabilistic distributions of two critical features, such as fiber chip orientation and distribution that are highly related to mechanical performance. Second, a reconstruction algorithm for 3D fiber chip packing is developed in consideration of the overlapping effect between fiber chips. Third, the macro-scale behavior of the SMC is predicted by the multiscale analysis.

Finite Element Analysis of SMC Compression Molding Processes (SMC 압축성형 공정에 관한 유한요소해석)

  • Lee, Choong-Ho;Huh, Hoon
    • Transactions of Materials Processing
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    • v.4 no.3
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    • pp.204-213
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    • 1995
  • A finite element program is developed to analyze the flow phenomena in SMC compression molding as a viscoplastic model. The calculation of temperature distribution is also carried out by uncoupling the thermal analysis from the flow analysis. SMC molding processes with a flat plate substructure and the one with a T-shaped rib are considered in numerical simulation. The numerical results provide deformed shapes, temperature distribution in a SMC charge, and the forming load. The simulation of compression molding of a flat plate with a T-shaped rib requires a remeshing technique for the whole process.

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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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    • v.3 no.3
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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.

A Study on Material Characterization of SMC (SMC의 물성치 평가에 관한 연구)

  • 정진호;한영원;임용택
    • Transactions of Materials Processing
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    • v.4 no.3
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    • pp.245-256
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    • 1995
  • SMC(Sheet Molding Compound), a thermoset composite material which consists of unsaturated polyester resin, fiberglass strands, fillers, and various chemical additives for curing agent, has been widely used in fabrication of structural components. The mechanical properties of molded SMS parts are strongly dependent on material flow results during compression molding process, while such flow in molds is affected by material characteristics. For numerical simulation of SMC molding process, estimation of material property of SMC must be accomplished. In this study, flow resistance of SMC was estimated through a simple compression test using a lubricant with grease oil under the constant strain rate condition at various temperatures and the result was compared with other material data available in the literature. The accuracy of the experimentally determined flow resistance was tested by finite element analyses of compression molding of SMC. Simulation results were compared with experimental results under the plane strain condition.

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Development of Phenolic SMC for The Rail (철도차량 및 지하철 불연 내장재 페놀 SMC 개발)

  • Kim Young-keun;Shin Dong-hyok;Kim Young-min;Park Joung-wuk;Min Jae-Jun
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2004.04a
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    • pp.55-58
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    • 2004
  • Phenolin resin, prepared form phenol and formaldehyde, is one of the oldest thermosetting resins available. Phenolic resins are cured via condensation polymerization with evolution of water, which in molding process is a big problem. The use of phenolic resins in glass fiber composites is growing, primarily due to their low flame spread, low smoke generation and low smoke toxicity properties. SMC of phenolics has been rearched since the 1986. The technology challenge was to match resin viscosity, handling and cure with those for the polyester SMC to avoid any special processing for fabricators and end users. Phenolic SMC was chosen because of the ease of molding to the required shape with light- weight, thin wall structure and with excellent fire protection.

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Automotive Polymer Composite Materials -Sheet Molding Compound- (자동차용 열경화성 고분자복합재료 -SMC를 중심으로-)

  • 조봉규
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1996.06a
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    • pp.63-73
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    • 1996
  • CAFE(기업평균연비) 규제의 적극적 대응책의 하나로 차체 경량화가 주목받고 있다. 이를 위해 사용되는 고분자 복합소재 중 특히 Exterior Body Panel에 많이 채택되고 있는 SMC(Sheet Molding Compound)에 대해 제조방법, 성형공정, 기술적 과제, 재활용, 적용 예 등을 살펴보았다. 1973년 GM의 Corvette로부터 본격적으로 사용되기 시작한 SMC는 미국, 유럽을 중심으로 사용량이 계속 증가되고 있으며, 자동화가 용이하고 성형Cycle이 짧아 타 열경화성 고분자복합재료 성형방법에 비해 대량생산에 유리하며, 도장 특성이 우수하며 자 동차 부품용으로 가장 보편적인 방식이다.

Properties of Soft Magnetic Composite with Evaporated MgO Insulation Coating for Low Iron Loss

  • Uozumi, Gakuji;Watanabe, Muneaki;Nakayama, Rryoji;Igarashi, Kazunori;Morimoto, Koichiro
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09b
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    • pp.1288-1289
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    • 2006
  • Innovative SMC with low iron loss was made from iron powders with evaporated MgO insulation coating. The coating had greater heat-resistance than conventional phosphatic insulation coating, which enabled stress relieving annealing at higher temperature. Magnetic properties of toroidal samples (OD35mm,ID25mm, t5) were examined. The iron loss at 50Hz for Bm = 1.5T was lower 50% of conventional SMC and was almost the same with silicon iron laminations(t0.35). It became clear that MgO insulation coating has enough heat resistance and adhesiveness to powdersurface to obtain innovative SMC with low iron loss.

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Acquisition of Parameters for Impact Damage Analysis of Sheet Molding Compound Based on Artificial Neural Network (인공신경망 기반 SMC 복합재료의 충돌 손상 해석을 위한 파라메터 획득)

  • Lee, Sang-Cheol;Kim, Jeong
    • Composites Research
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    • v.34 no.2
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    • pp.115-122
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    • 2021
  • SMC(Sheet molding compound) composite is mainly used for forming of vehicle's body. Considering the car accident, it is essential to research the impact behavior and characteristics of materials. It is difficult to identify them because the impact process is completed in a short time. Therefore, the impact damage analysis using FE(finite element) model is required for the impact behavior. The impact damage analysis requires the parameters for the damage model of SMC composite. In this paper, ANN(artificial neural network) technique is applied to obtain the parameters for the damage model of SMC composite. The surrogate model by ANN was constructed with the result in LS-DYNA. By comparing the absorption energy in drop weight test with the result of ANN model, the optimized parameters were obtained. The acquired parameters were validated by comparing the results of the experiment, the FE model and the ANN model.

The Evaluation of Fracture Toughness of SMC Composite Material and Carbon/Epoxy Composite Material (SMC 복합재료와 Carbon/Epoxy 복합재료의 파괴인성평가)

  • 최영근;이유태;이태순
    • Journal of Ocean Engineering and Technology
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    • v.7 no.1
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    • pp.25-32
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    • 1993
  • In composite materials, the fracture perpendicular to the fiber direction usually shows a non-linear behavior accompannying blunting and plastic deformation around the crack tip. In this study, the fracture thoughness in random short fiber SMC composite material and Carbon/Epoxy composite material is estimated by the A.M.(Area Method) and the G.L.M.(Generalized Locus Method) which can determine a stable total energy release rate(G$_T$) not only in highly elghly elastic material but also in highly non-linear materials.

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