Original Article
  • Prediction of Material Properties of Carbon Fiber Prepreg in the Laminated Composite Using Reverse Analysis with Dynamic Characteristics
  • Mun-Young Hwang*, Lae-Hyong Kang**†

  • * Department of Mechatronics Engineering, and LANL-CBNU Engineering Institute-Korea, Chonbuk National University, Jeonju 54896, Korea
    **† Department of Mechatronics Engineering, Department of Flexible and Printable Electronics, and LANL-CBNU Engineering Institute-Korea, Chonbuk National University, Jeonju 54896, Korea

  • 동적 특성이 고려된 역해석를 이용한 적층 복합재료 내부의 탄소섬유 프리프레그의 물성 예측
  • 황문영* · 강래형**†

Abstract

If what the mechanical properties according to a layer have was found out by analyzing the already fabricated composite, it could be possible to develop the composite of the better performance than the existing products. In this study, we tried to calculate the mechanical properties of the inner prepreg lamina by applying the reverse design technique to the composite structure made by laminating prepregs. When the physical quantities obtained by the simple tensile test are used alone and the physical quantities obtained by the tensile test and the mode analysis are used at the same time, the results of this study show that the accuracy of the latter is higher Finally, the maximum error of E1 predicted was 0.09% and the maximum error of predicted E2 was 7%.


이미 제작된 복합재료 제품을 분석하여 층별로 어떤 기계적 물성을 가지는지 알아낼 수 있다면, 기존 제품에 비해 더 좋은 성능을 내는 복합재료 개발을 수행할 수 있게 된다. 본 연구에서는 프리프레그를 적층하여 제작된 복합재료 구조물에 대해 역설계 기법을 적용하여 내부 프리프레그 층의 물성을 계산하고자 하였다. 단순히 인장시험으로 얻어지는 물리량을 이용한 경우와 인장시험 및 모드 해석을 통해 얻어지는 물리량을 이용한 경우를 비교한 결과 후자의 정확도가 더 높음을 알 수 있었다. 최종적으로 예측된 E1의 최대 오차는 0.09%였고 예측된 E2의 최대 오차는 7%였다.


Keywords: 적층복합재(Laminated composite), 유한요소분석(Finite element analysis), 역공학(Reverse-engineering), 예측(Prediction)

This Article

Correspondence to

  • Lae-Hyong Kang
  • Department of Mechatronics Engineering, Department of Flexible and Printable Electronics, and LANL-CBNU Engineering Institute-Korea, Chonbuk National University, Jeonju 54896, Korea

  • E-mail: reon.kang@jbnu.ac.kr