• Title/Summary/Keyword: 고분자 복합재

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Friction and Wear Characteristics of Graphite Fiber Composites (탄소 섬유 복합재료의 마찰 및 마모 특성)

  • 심현해;권오관;윤재륜
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1989.06b
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    • pp.29-34
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    • 1989
  • 고분자 복합재료들은 오늘날 광범위하게 마찰 부위들에 응용되고 있다. 다양한 첨가제와 보강재들이 고분자 물질들에 넣어져 강도와 마모 특성들을 향상 시키고 있다. 예를 들어, 다양한 복합재료들로서 현재 입수 가능한 것에 베어링 재료들이 있으며 이에 포함되는 것이 자체 윤활 보강 플라스틱 들이며 이들에는 고체 윤활제, 즉, 테플톤, $MoS_2$, 혹은 흑연가루들이 첨가된다. 실험적 그리고 이론적인 연구들이 여러 조건들에서의 섬유 보강 복합 재료들의 마모 거동에 대하여 보고되었다(예를 들어, 미끄럼 마모, 연마 마모, 입자 충격 마모, 비빔 마모). Tsukizoe와 Ohmae의 보고에 의하면 탄성계수 탄소섬유 복합재료는 가장 적은 마모가 횡단 방향(Transverse)에서 있고, 고 강도 탄소 섬유 복합재료는 길이 방향(Longitudinal)에서 있다. 가장 많은 마모는, 고 탄성계수 복합재료는 길이 방향에서, 고 강도 섬유 복합재료는 횡단 방향에서 잇다. 그들이 또한 발표한 것은 양쪽의 고 탄성계수와 고 강도 섬유 복합재료들의 수직방향(Norma)에서 눌러 불음(Seizure)가 일어났다고 한다.

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Prediction of Mechanical Properties and Behavior of Polymer Matrix Composites Based on Machine Learning (기계학습에 기반한 고분자 복합수지의 기계적 물성 거동 예측)

  • Lee, Nagyeong;Shin, Yongbeom;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.25 no.2
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    • pp.64-71
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    • 2021
  • Research on polymer matrix composites with excellent molding processability and mechanical properties in the automotive field including hydrogen fuel cell electric vehicles is expanding to Computer-Aided Engineering (CAE) to support the design of materials with specific mechanical properties. CAE automation requires the prediction of the mechanical properties and behavior of materials. Unlike single materials, the mechanical properties prediction of polymer matrix composites is difficult to explain with formulas because the mechanical behavior is complicated to be explained only by the relationship between the matrix and the filler. In this study, the stress-strain curve according to the composition of polymer matrix composites, which was difficult to predict due to its sensitivity to large plastic deformation and composition, was predicted based on machine learning of the test data. The developed model finds a complex correlation between matrix and filler types and compositions, and predicts the total stress-strain curve meaningfully even in the absence of learned test data. It is expected that the material design AI system can be completed in the future based on the developed model that predicts the mechanical properties of polymer matrix composites even for the combination and composition that have not been learned.

Study of Mechanism for Improving Tensile Elastic Modulus of Self-reinforced Composite (친환경 저비중 자기보강 복합소재 개발을 위한 공정 변수별 영향도 평가)

  • Yun, Deok Woo;Kang, Hyun Min
    • Composites Research
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    • v.28 no.4
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    • pp.197-203
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    • 2015
  • Tensile properties of polypropylene based self-reinforced composites were investigated as a function of process variables of the double-belt lamination equipment such as pressure, temperature and cooling conditions. Elastic modulus was enhanced approximately 6 times from 0.2 to 1.2 GPa. The improvement mechanism was studied by identification of crystalline structure changes using DSC and XRD analysis. In addition, morphology change of self-reinforced composites was also investigated by SEM analysis in order to reveal the degree of impregnation.

Research Trends in Thermally Conductive Composites Filled with Carbon Materials (탄소재료가 내첨된 열전도성 복합재의 연구 동향)

  • An, Donghae;Kim, Kyung Hoon;Kim, Ji-Wook;Lee, Young-Seak
    • Applied Chemistry for Engineering
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    • v.31 no.1
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    • pp.73-83
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    • 2020
  • As electronic devices become more advanced and smaller, one of the biggest problems to solve is the heat affecting the efficiency and lifetime of instruments. High thermal conductivity materials, in particular, metal or ceramic ones, have been used to reduce the heat generated from devices. However, due to their low mechanical properties and high weight, thermally conductive composites composed with polymers having a light-weight and good mechanical properties as a matrix and carbon materials having high thermal conductivity as a thermally conductive filler have been attracting great attention. To improve the thermal conductivity of the composites, a phonon scattering must be suppressed to move phonon effectively. In this review, we classified researches related to phonon migration and scattering inhibition of carbon/polymer composites, and discussed various methods to improve thermal conductivity.

A study on the mechanical Characteristics of Bamboo fiber Composites (대나무섬유 복합재의 기계적 특성 변화)

  • Jung, Seong-Hyun;Han, Hyun-Kak;Park, Chan-Wong;Lee, Ki-Woong;Joo, Deuk-Ki
    • Proceedings of the KAIS Fall Conference
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    • 2012.05a
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    • pp.448-451
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    • 2012
  • 본 연구에서 matrix간의 계면 결합력을 불리하게 작용하는 Wax성분이나 Lignin, Hemi-Cellulose등의 제거를 위해 화학적 개질방법중인 NaOH, Acetic acid, Silane으로 처리하여 기질 고분자의 계면의 영향을 알아보고 SEM을 이용하여 형태학적 변화와 열적특성 변화를 관찰하였다. 형태학적 변화에서는 NaOH, Acetic acid 처리보다 Silane처리가 계면결합력이 증가하여 기계적 물성이 증가되었다는 것을 볼수 있었고, 열분석에서는 NaOH, Acetic acid, Silanec 처리가 유사하게 나타났지만, 복합재를 전처리하지 않은것보다 기질고분자와 천연섬유간의 계면 결합은 전처리하는 것이 결합에 있어서 좋다는 결과를 확인하였다.

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A Study on the Elastoplastic Behavior and Yield Surface of Polymer Nanocomposites by Molecular Dynamics Simulations (분자동역학 전산모사를 이용한 나노입자 복합재의 탄소성 거동과 항복 예측에 관한 연구)

  • Yang, Seung-Hwa;Yu, Su-Young;Cho, Maeng-Hyo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.558-561
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    • 2010
  • 본 연구에서는 나노복합재의 탄소성 거동과 항복응력을 예측하기 위해 분자동역학 전산모사를 수행하였다. 나일론 기지와 실리카 나노입자가 포함된 단위 셀 구조로부터 나노입자의 체적분율 변화에 따른 응력-변형률 선도를 등변형률을 적용한 등온등압 앙상블 전산모사로부터 도출하였다. 4%의 변형률 범위에서 나노복합재의 탄성계수를 도출하였고, 이를 이용하여 2% 오프셋 방법으로 항복응력을 예측하였다. 나노입자의 유무에 따른 항복평면의 변화와 고분자 재료에서 나타나는 정수압 효과가 항복평면에 미치는 영향을 확인하기 위해 일축 인장/압축 그리고 이축 인장/압축을 수행하였고, 각각의 경우에 나타나는 나노복합재 내부의 자유체적 변화에 대한 분석을 통해 나노입자의 강화효과를 고찰하였다. 또한 고분자 기지로 인해 발생하는 정수압 효과를 반영한 von-Miss 항복평면을 도출하고, 입자의 체적분율 변화에 따른 항복응력의 예측이 가능하도록 정수압효과에 대한 파라메터를 체적분율의 함수로 근사하였다.

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Composite-Based Material and Process Technology Review for Improving Performance of Piezoelectric Energy Harvester (압전 에너지 수확기의 성능 향상을 위한 복합재료 기반 소재 및 공정 기술 검토)

  • Kim, Geon Su;Jang, Ji-un;Kim, Seong Yun
    • Composites Research
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    • v.34 no.6
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    • pp.357-372
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    • 2021
  • The energy harvesting device is known to be promising as an alternative to solve the resource shortage caused by the depletion of petroleum resources. In order to overcome the limitations (environmental pollution and low mechanical properties) of piezoelectric elements capable of converting mechanical motion into electrical energy, many studies have been conducted on a polymer matrix-based composite piezoelectric energy harvesting device. In this paper, the output performance and related applications of the reported piezoelectric composites are reviewed based on the applied materials and processes. As for the piezoelectric fillers, zinc oxide, which is advantageous in terms of eco-friendliness, biocompatibility, and flexibility, as well as ceramic fillers based on lead zirconate titanate and barium titanate, were reviewed. The polymer matrix was classified into piezoelectric polymers composed of polyvinylidene fluoride and copolymers, and flexible polymers based on epoxy and polydimethylsiloxane, to discuss piezoelectric synergy of composite materials and improvement of piezoelectric output by high external force application, respectively. In addition, the effect of improving the conductivity or the mechanical properties of composite material by the application of a metal or carbon-based secondary filler on the output performance of the piezoelectric harvesting device was explained in terms of the structure of the composite material. Composite material-based piezoelectric harvesting devices, which can be applied to small electronic devices, smart sensors, and medicine with improved performance, can provide potential insights as a power source for wireless electronic devices expected to be encountered in future daily life.

Measurement of the Fiber Orientation on Weld-Line Parts for Injection Molding of Fiber Reinforced Polymeric Composites (섬유강화 고분자 복합재의 사출성형에 있어서 웰드라인부의 섬유배향측정)

  • Kim, H.;Kang, M.G.;Choi, Y.S.;Lee, D.G.;Han, G.Y.;Kim, E.G.
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2000.11a
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    • pp.265-270
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    • 2000
  • Injection molding is a very important industrial process for the manufacturing of plastics objects. During an injection molding process of composites, the fiber-matrix separation and fiber orientation are caused by the flow of molten polymer/fiber mixture. As a result, the product tends to be nonhomogeneous and anisotropic. Hence, it is very important to clarify the relations between separation· orientation and injection molding conditions. So far, there is no research on the measurement of fiber orientation using image processing. In this study, the effects of fiber content ratio and molding condition on the fiber orientation-angle distributions are studied experimentally. Using the image processing method, the fiber orientation distribution of weld-line parts in injection-molded products is assessed. And the effects of fiber content and injection molding conditions on the fiber orientation functions are also discussed

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