• Composites Research
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• v.15 no.2
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• pp.55-63
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• 2002

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.3
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• pp.233-239
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• 2004

Smart material is used in various applications such as for glass frame, for medical instruments and for a part of sensors. Smart composite materials ran be applied to a part of aircraft and to the on-line monitoring system for industrial structures, using the shape memory effect. However, it is very difficult to simulate and analyze the shape memory effect in smart composites. In this paper, a two dimensional axisymmetric model was proposed to analyze the smart composite of one fiber and matrix using the finite element method(FEM). The finite element analysis was carried out in two renditions of the room temperature(293K) and a higher temperature (363K). The results we.e compared with the experimental results to confirm the validity of the analysis. In addition, the acoustic emission(AE) technique was used to study the microscopic damage behavior and the effect of pre-strains on TiNi/A16061 shape memory alloy composite.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.2
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• pp.81-85
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• 2017

Fiber-reinforced polymer composites, which are made by combining a continuous fiber that acts as reinforcement and a homogeneous polymeric material that acts as a host, are engineering materials with high strength and stiffness and a lightweight structure. In this study, a shape memory alloy(SMA) reinforced composite actuator is presented. This actuator is used to generate large deformations in single lightweight structures and can be used in applications requiring a high degree of adaptability to various external conditions. The proposed actuator consists of numerous individual laminas of the glass-fiber fabric that are embedded in a polymeric matrix. To characterize its deformation behavior, the composition of the actuator was changed by changing the matrix material and the number of the glass-fiber fabric layers. In addition, current of various magnitudes were applied to each actuator to study the effect of the heating of SMA wires on applying current.

• 기계와재료
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• v.14 no.4 s.54
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• pp.6-15
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• 2002

• 기계와재료
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• v.13 no.1 s.47
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• pp.79-86
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• 2001

• Proceedings of the Korean Fiber Society Conference
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• 2001.10a
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• pp.195-198
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• 2001

최근 지능재료에 관한 연구가 형상기억합금, 반도체 재료, 의료용 재료, 고분자 재료 등에서 활발히 이루어지고 있다. 지능재료 중 형상기억재료는 형상기억, 형상고정, 충격흡수 등의 효과를 갖기 때문에 열적, 역학적, 전기적 및 자기적(magnetic) 자극을 감지함으로써 형상, 위치, 탄성계수, damping, 마찰 등의 특성변화를 통하여 응답을 할 수 있어 응용이 다양하다 형상기억고분자의 경우 가볍고 형상회복률이 높으며 가공성이 우수한 장점을 가지고 있다. (중략)

• Composites Research
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• v.19 no.2
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• pp.42-45
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• 2006

• Composites Research
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• v.27 no.6
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• pp.219-224
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• 2014

Nancomposites manufacture has been developed rapidly, because of reinforcing effects of CNT in terms of mechanical, electrical and thermal properties. In this study, 10 wt% CNT paste was fabricated with good dispersion state and easy processability. Damage sensing and reinforcing effect of CNT paste were investigated in nanocomposites. 10 wt% CNT paste exhibited better tensile and flexural properties than those of general 1 wt% CNT nanocomposites. To observe the healing effect of CNT paste, a crack was made artificially with 30wt% CF30wt%/PP composites, and the CNT paste was filled inside the crack. The damage sensing of CNT paste in CF30wt%/PP composites was investigated by electrical resistance measurement and mechanical tests. CNT paste exhibited good reinforcing effect in mechanical properties of CF30wt%/PP composites, and this reinforcing effect was getting better with larger cracks. The reason was because CNT paste had good interfacial adhesion with CF30wt%/PP composites to resist crack propagation. In electrical resistance measurement, there was a jump in electrical resistance signal at the adhesion interface. The jumping signal could be used to predict fracture of CF/PP composites. CNT nanocomposites for damage sensing had crack reducing effect and damage detection using electrical resistance method.

• 기계와재료
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• v.13 no.2 s.48
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• pp.93-103
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• 2001

• Proceedings of the Korean Fiber Society Conference
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• 2002.04a
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• pp.433-436
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• 2002

형상기억재료는 형상기억효과, 회복변형효과, 형상고청효과, 진동제어효과 등의 특성으로 인하여 중요한 지능재료(smart materials)의 하나로 기대되고 있다. 형상기억 재료로는 합금, 세라믹, 고분자, 겔 등을 들 수 있지만 Ti-Ni 합금(Nitinol)이 가장 많이 이용되고 있다. 그러나 형상기억고분자는 형상기억합금에 비하여 가볍고 형상회복률이 높으며 가공이 쉽고 투명할 뿐만 아니라 염색이 가능하기 때문에 물성과 경제적인 면에서 유리하다. (중략)