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탈크 및 유리단섬유로 강화된 폴리프로필렌 복합재료의 기계적 물성 예측 모델 개발

Development of a Prediction Model for the Mechanical Properties of Polypropylene Composites Reinforced by Talc and Short Glass Fibers

  • 김순 (울산과학기술대학교 (UNIST) 기계 및 신소재공학부) ;
  • 손동일 (동국실업 주식회사 기술연구소) ;
  • 최동혁 (동국실업 주식회사 기술연구소) ;
  • 정인찬 (동국실업 주식회사 기술연구소) ;
  • 박영빈 (울산과학기술대학교 (UNIST) 기계 및 신소재공학부) ;
  • 김성엽 (울산과학기술대학교 (UNIST) 기계 및 신소재공학부)
  • 투고 : 2013.05.11
  • 심사 : 2013.08.19
  • 발행 : 2013.09.01

초록

본 연구에서는 입자형태인 두 가지 이상의 강화제가 기지 내에 무작위로 분포하여 하이브리드 복합재료를 이룰 때, 강화제의 함유량에 따른 복합재료의 인장강도 및 탄성계수를 예측할 수 있는 이론 모델을 제안하였다. 이를 위하여 연속적인 두 강화제가 기지 내에 평행하게 분포한 복합재료 모델에 입자형태의 한 가지 강화제가 무작위하게 분포한 복합재료 모델을 수정 적용하였다. 본 연구에서 제안한 모델의 정확성과 타당성을 논의하기 위해, 산업체에서 널리 쓰이고 있는 폴리프로필렌을 기지로 하고, 탈크와 유리단섬유를 서로 다른 강화제로 한 복합재료를 제작하여 인장강도 및 탄성계수를 측정하였다. 인장강도 값을 예측하는 경우, 이전의 이론 모델이 실험 측정값과 7배 이상의 오차를 보이는 반면 본 연구의 모델은 비슷한 값을 예측하였다. 탄성계수의 경우에도 본 연구의 모델은 비교적 정확하게 실험 측정 값을 예측할 수 있었다.

In this paper, we developed a theoretical model which is able to predict the tensile strength and elastic modulus of hybrid composites reinforced by two types of randomly distributed discontinuous reinforcements. For this, we considered two known models; One is a prediction model based on the assumption that the composite is reinforced by two types of well aligned continuous reinforcements. The other is a statistical model for the composite which is reinforced by only one type of randomly distributed discontinuous reinforcements. In order to evaluate the validity of accuracy of our prediction model, we measured the strength and elastic modulus of polypropylene hybrid composite reinforced by talc and short glass fiber. We found that the present model drastically enhances the accuracy of strength prediction compared to an existing model, and predicts the elastic modulus within the same order with experimentally measured values.

키워드

참고문헌

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