• 한국분말야금학회:학술대회논문집
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• 한국분말야금학회 2006년도 Extended Abstracts of 2006 POWDER METALLURGY World Congress Part2
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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.

• Composites Research
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• 제34권1호
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• pp.70-75
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• 2021

본 논문은 단섬유 칩으로 구성된 Sheet Molding Compound(SMC) 복합재료를 실험적으로 관찰된 특징들을 바탕으로 메소스케일(meso-scale) 대표체적요소(RVE: Representative Volume Element)를 재구성하는 새로운 알고리즘을 제시한다. 전산해석을 이용하여 SMC 복합재료의 비등방성 거동의 정확한 예측은 어려운 문제이다. 이를 극복하기 위해, SMC 복합재료를 위한 일련의 이미지 프로세싱 기술과 재구성 알고리즘 및 유한요소(FE: Finite Element) 생성기로 구성된 SMC RVE 모델을 개발하였다. 첫째, micro-CT 이미지 프로세싱은 SMC 물성에 직접적인 상관관계를 가지는 섬유칩의 배향 및 분산의 확률적 분포를 평가한다. 둘째, 해당 통계적 분포를 바탕으로 섬유칩 간의 겹침효과를 고려한 섬유칩 팩킹 재구성 알고리즘을 개발한다. 마지막으로, SMC 복합재료 멀티스케일 해석을 이용하여 매크로스케일(macro-scale)에서의 거동을 파악하고 실험데이터를 통해 검증을 수행한다.

• 소성∙가공
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• 제4권3호
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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.

• 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.

• 소성∙가공
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• 제4권3호
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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.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2004년도 춘계학술발표대회 논문집
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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.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 1996년도 자동차부품 제작기술의 진보
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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.

• 한국분말야금학회:학술대회논문집
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• 한국분말야금학회 2006년도 Extended Abstracts of 2006 POWDER METALLURGY World Congress Part2
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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.

• Composites Research
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• 제34권2호
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• pp.115-122
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• 2021

복합재료 중에서 SMC(sheet molding compound) 복합재료는 자동차의 차체 성형에 주로 쓰이고 있다. 자동차 산업에서는 차량 사고를 고려하여야 하므로 재료의 충돌 거동 및 특성에 관한 연구는 필수적이다. 충돌은 짧은 시간에 일어나기 때문에 육안으로 확인이 어렵다. 따라서 충돌 거동을 확인하기 위해서는 유한요소 모델을 이용한 충돌 손상 해석이 필요하다. 충돌 손상 해석을 위해서는 SMC 복합재료의 손상 모델에 대한 파라메터가 요구된다. 본 연구에서는 SMC 복합재료의 손상 모델에 대한 파라메터를 획득하기 위해 인공신경망 기법을 적용하였다. LS-DYNA에서 파라메터에 따른 결과를 이용하여 대체 모델을 구성하였다. 자유 낙하 충돌 실험에서 얻은 흡수 에너지와 인공신경망 모델을 이용한 흡수 에너지를 비교하여 최적화된 파라메터를 획득하였다. 획득한 파라메터를 유한요소 모델에 적용해 결과를 비교하여 파라메터의 신뢰성을 검증하였다.

• 한국해양공학회지
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• 제7권1호
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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.