지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 임재혁
- 발행연도
- 2019
- 저작권
- 전북대학교 논문은 저작권에 의해 보호받습니다.
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초록· 키워드
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In this work, equivalent material properties of composites containing particle fillers are efficiently predicted by computational homogenization schemes (CHS) with diverse filler volume fractions.
For this prediction, a finite element model with the maximum volume ratio was generated by using discrete element method (DEM) and representative volume elements with various volume ratios was modeled using random filler removal technique. The degree of randomness of the generated RVE was evaluated using the spatial statistical criterion.
To demonstrate the performance of the proposed model, the equivalent electrical conductivity of CB / pCBT were predicted by CHS and compared with the reference results. Also, the analytical results of the proposed model are compared with the electrical conductivity prediction model. Sensitivity analysis was also performed for void contents, interphase conductivity, number of sample models, and size of spherical filler. The equivalent elastic modulus of CB/HNBR were predicted by CHS and compared with the reference results. The symmetry of the compliance matrix and anisotropy ratios are investigated based on the results of RVE generated by the proposed method.
Based on the results of all the predictions, the proposed method can quickly generate random RVE with various volume ratios and can estimate the equivalent electrical conductivity and the equivalent elastic modulus.
For this prediction, a finite element model with the maximum volume ratio was generated by using discrete element method (DEM) and representative volume elements with various volume ratios was modeled using random filler removal technique. The degree of randomness of the generated RVE was evaluated using the spatial statistical criterion.
To demonstrate the performance of the proposed model, the equivalent electrical conductivity of CB / pCBT were predicted by CHS and compared with the reference results. Also, the analytical results of the proposed model are compared with the electrical conductivity prediction model. Sensitivity analysis was also performed for void contents, interphase conductivity, number of sample models, and size of spherical filler. The equivalent elastic modulus of CB/HNBR were predicted by CHS and compared with the reference results. The symmetry of the compliance matrix and anisotropy ratios are investigated based on the results of RVE generated by the proposed method.
Based on the results of all the predictions, the proposed method can quickly generate random RVE with various volume ratios and can estimate the equivalent electrical conductivity and the equivalent elastic modulus.
목차
제 1 장 서 론 11.1 연구 배경 및 목적 11.2 선행 연구 31.3 연구 내용 6제 2 장 다양한 체적비를 갖는 복합재료 모델링 72.1 이산요소법을 이용한 Master RVE 생성 92.2 무작위 필러 제거를 이용한 RVE 생성 122.3 3차원 RVE의 공간 통계 측정 비교 142.4 Hard/Soft 인터페이즈 모델링 34제 3 장 복합재료의 등가전도도 예측 383.1 Percolation threshold theory 383.2 전산균질화 기법을 이용한 등가전도도 예측 403.3 결과 및 검토 43제 4 장 복합재료의 등가탄성계수 예측 564.1 전산균질화 기법을 이용한 등가탄성계수 예측 564.2 결과 및 검토 59제 5 장 결 론 65참 고 문 헌 67
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