• Composites Research
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• v.18 no.6
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• pp.1-8
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• 2005

The fiber-reinforced composite materials have been advanced for various applications because of their excellent mechanical and electromagnetic properties. On their manufacturing processes, however, thermo-curing inherently produces the undesired thermal deformation mainly from temperature drop from the process temperature to the room temperature, so called spring-back. The spring-back must be understood especially in the hybrid composites in order to design and fabricate desired shape. In this research, (glass fiber / epoxy) + (carbon fiber / epoxy) unsymmetric hybrid composites were fabricated under various conditions such as cure cycle, laminate thickness, stacking sequence and curing sequence. Coupons were made and spring-back were measured using coordinate measuring machine (CMM). Using the Classical Lamination Theory (CLT) and finite element analysis (ANSYS), the behavior of spring-back were predicted and compared with the experimental data. The results from CLT and FEA agreed well with the experimental data. Although, the spring-back could be reduced by lowering curing temperature, at any case, the spring-back could not be removed completely.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.5
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• pp.429-438
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• 2003

The effects of fiber orientation on acoustic emission(AE) characteristics have been studied for the unidirectional and satin-weave, continuous glass-fiber reinforced plastic(UD-GFRP and SW-GFRP) tensile specimens. Reflection and transmission optical microscopy was used for investigation of the damage zone of specimens. AE signals were classified as different types by using short time fourier transform(STFT) : AE signals with high intensity and high frequency band were due to fiber fracture, while weak AE signals with low frequency band were due to matrix and interfacial cracking. The feature in the rate of hit-events having high amplitudes showed a process of fiber breakages, which expressed the characteristic fracture processes of individual fiber-reinforced plastics with different fiber orientations and with different notching directions. As a consequence, the fracture behavior of the continuous GFRP could be monitored as nondestructive evaluation(NDE) through the AE technique.

• Proceedings of the Korean Society For Composite Materials Conference
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• 1999.11a
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• pp.44-48
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• 1999

섬유 강화 고분자 복합재료에서 강화재인 섬유와 매트릭스의 계면은 복합재료의 물성에 지대한 영향을 미친다. 섬유와 매트릭스의 물성 차이 즉, 탄성율, 열팽창 계수, 경화시의 수축, 결정화도 등의 차이뿐만 아니라 하중이 가해질 때 응력 집중 (stress concentration) 현상이 계면에서 일어난다[1]. 유리섬유를 강화재로 사용한 복합재료에서 유리섬유는 표면이 hydroxyl기로 덮여 있기 때문에 친수성이 매우 크고 또한 마찰이나 정전기에 의해 손상을 받기 쉬운 단점이 있다. 따라서 매트릭스 수지와의 계면 접착력을 향상시키고 제조 공정 중에 섬유를 마찰이나 정전기로부터 보호하기 위한 처리가 필요하며 이들 "sizing" 이라고 한다[2,3].고 한다[2,3].

• Proceedings of the Korean Fiber Society Conference
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• 2003.10b
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• pp.189-190
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• 2003

섬유강화 복합재료의 사용이 점점 증가함에 따라 구조용 및 내장재 등으로 사용된 수명이 다한 섬유강화 복합재료의 사용후 폐기가 문제가 되고 있다. 특히, 자동차 부품, 건축자재 및 전기절연재 등으로 가장 많이 사용되는 유리섬유 복합재료의 폐기물이 급격히 증가하여 환경 오염문제가 심각해지고 있어서, 환경 친화적인 새로운 복합재료에 대한 필요성이 제기되어 왔다. 따라서 본 연구에서는 천연섬유를 이용한 천연섬유/생분해성 수지계 복합소재를 대상으로 환경적합성이 우수하고 자연환경에서 완전한 생분해성을 가지며, 유리 섬유복합재료를 대체할 물성이 우수한 새로운 Biocomposite를 개발하고자 하였다. (중략)

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.343-346
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• 2010

형상기억합금이 삽입된 복합체는 힌지나 추가적 작동기 없이 그 자체로서 지능 구조의 역할을 할 수 있어 많은 분야에서 활발히 연구되고 있다. 본 논문에서는 형상기억합금(Shape Memory Alloy) 선이 삽입된 $\cap$자형 복합재를 제안하고, 형상기억합금과 모재가 정해진 경우의 곡률 변화에 영향을 주는 주요 설계 변수를 복합재의 너비, 두께, 형상기억합금의 편심률을 설계변수로 가정하고 유한요소 해석과 패널 제작 및 실험을 통해 검증한다. 먼저 라고다스(Lagoudas)모델을 형상기억합금의 구성방정식으로 이용한 유한요소해석모델을 구성하여 수치해석을 수행하고, 11 종류의 형상기억합금 선이 삽입된 유리섬유강화복합재(Glass Fiber Reinforced Plastic) 패널을 제작하여 열하중에 따른 곡률변화를 관찰한다. 해석결과와 실험결과의 비교를 통해 해석모델의 타당성을 검증하며, 해석을 통해 각 설계 변수들의 곡률변화에 대한 영향을 파악한다.

• Composites Research
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• v.27 no.3
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• pp.109-114
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• 2014

Manufacture of nancomposites has simple process for developing nanocomposites due to the increasing applications using nanofillers. This work studied nanofiller coated glass fiber for reinforcing material with good wetting and conductivity and the morphology of nanofiller coated glass fiber was analyzed by FE-SEM. The durability of reinforced glass fiber was investigated with different shapes of nanofillers using sonication rinsing method. Fatigue test was performed to evaluate the adhesion of reinforcing interface and stability of nanofiller coating layer for single fiber reinforced composites. Apparent modulus and conductivity of nanofiller coating layer were evaluated to realize multifunctional of nanocomposites. Fiber type of nanofiller was better than plate type due to better cohesion between fiber and nanofillers. At last, the stability of fiber type nanofiller of coating layer has better durability and conductivity than plate type case.

• Composites Research
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• v.33 no.6
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• pp.346-352
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• 2020

In mobility industries, the use of thermoplastic composites increased dynamically. In this study, the mechanical and impregnation properties of continuous glass fiber (GF)/polypropylene (PP) composite were evaluated with different GF contents. The GF/PP commingled fiber was manufactured with different GF contents and continuous GF/PP composite was manufactured using continuous compression molding process. Tensile, flexural, and impact test of specimens were evaluated with different GF contents. The fracture behavior of specimens was proved using field emission-scanning electron microscope images of fracture area and impregnation property was evaluated using dynamic mechanical analyzer and interlaminar shear strength. Finally, the GF/PP composite was the optimized mechanical and impregnation properties using 50 wt.% GF/PP commingled fiber.

• Polymer(Korea)
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• v.24 no.4
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• pp.459-468
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• 2000

To improve the mechanical properties of fiber-reinforced polymer matrix composites, laminated composites plates were fabricated using different matrix resins and glass or aramid fibers. The effect of matrix resin system were evaluated by tensile, flexural strength measurements. In the case of surface treated aramid fiber and unsaturated polyester resin composite, maximum flexural properties were observed in the composite prepared from the glass fiber treated with 0.5 wt% silane coupling agents. Vinylester resin composites show the highest tensile properties and isophthalic polyester composites have the highest flexural properties among the unsaturated polyester resin composites studied. The relationship between overlap laminated composites plates and mechanical properties of polymer composites is also investigated in order to improve mechanical properties of glass fiber and unsaturated polyester resin composites.

• Composites Research
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• v.34 no.1
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• pp.1-7
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• 2021

Fiber-reinforced thermoplastic composites are applied to transport industries to lightweight of body, and applications will be expanded gradually. In this study, the impregnation and mechanical properties of continuous glass fiber (GF) reinforced polycarbonate (PC) composites were evaluated with different molecular weights of PC. The continuous GF reinforced PC composite were prepared by using GF fabric and PC film via continuous compression molding method. The melting flow index and tensile strength of PC matrix were evaluated with different molecular weights. Mechanical properties (tensile, flexural, and compressive) and pore rate of GF/PC composite were evaluated with different molecular weights of PC. The fracture behavior was analyzed to fracture surface of GF/PC composite using FE-SEM images. As these results, it was condition of representing the best mechanical property that the GF/PC composite was prepared by using PC of 20,000 g/mol as matrix.

• Composites Research
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• v.36 no.2
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• pp.92-100
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• 2023

In this paper, a machine learning and deep learning model for the design of circuit analog (CA) radar absorbing structure with a cross-dipole pattern on a glass fiber fabric reinforced plastic is presented. The proposed model can directly calculate reflection loss in the Ku-band (12-18 GHz) without three-dimensional electromagnetic numerical analysis based on the geometry of the Cross-Dipole pattern. For this purpose, the optimal learning model was derived by applying various machine learning and deep learning techniques, and the results calculated by the learning model were compared with the electromagnetic wave absorption characteristics obtained by 3D electromagnetic wave numerical analysis to evaluate the comparative advantages of each model. Most of the implemented models showed similar calculated results to the numerical results, but it was found that the Fully-Connected model could provide the most similar calculated results.