메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
최병규 (부산대학교) 허민혁 (부산대학교) 서창만 (DRB동일) 권혜린 (DRB동일) 김광훈 (부산대학교) 박성훈 (부산대학교)
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 2017년도 학술대회
발행연도
2017.11
수록면
3,120 - 3,124 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Automotive weatherstrips made of rubber material have nonlinear hyperelastic/viscoelastic properties and it is difficult to design accurately reflecting their properties. Therefore, it is necessary to present a mathematical model suitable for accurate rubber behavior to design the weatherstrip. The purpose of this study is to find the hyperelastic/viscoelastic mathematical model for the rubber material of automotive weatherstrips and to apply this model to the computational analysis in order to improve the accuracy and reliability of the static and dynamic analyses during door closing. Uniaxial tensile/compressive tests and DMA (Dynamic Mechanical Analysis) tests were used to construct a mathematical model. Compression tests using a 100 mm weatherstrip sample were also carried out to verify the computational results. The maximum strain of the automotive door weatherstrip was found to be as low as 0.5 or less through the finite element analysis when the automotive door was closed. Computational compressive load deflection (CLD) results of the weatherstrip using several hyperelastic models were compared with weatherstrip test results and an accurate material model for low strain range was selected. The viscoelastic model was also added to the selected model to confirm the stress relaxation over time. When only uniaxial tensile test data were used, the Form model combined with the viscoelastic Prony series was the most suitable model to express the nonlinear viscoelastic behavior of the rubber at low strain range.

목차

Abstract
1. 서론
2. 물성 모델
3. 유한 요소 해석
4. 웨더스트립 단품 압축 시험
5. 해석 및 시험 결과 비교
6. 결론
참고문헌

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0