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

논문 기본 정보

자료유형
학술저널
저자정보
Chenguang Wang (Central South University) Youping Yi (Central South University) Shiquan Huang (Central South University) Fei Dong (Central South University) Hailin He (Central South University) Ke Huang (Central South University) Yanzhen Jia (Central South University)
저널정보
대한금속·재료학회 Metals and Materials International Metals and Materials International Vol.27 No.12
발행연도
2021.12
수록면
5,199 - 5,211 (13page)
DOI
10.1007/s12540-020-00922-3

이용수

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

초록· 키워드

오류제보하기
Cryogenic forming, a new technology used to manufacture aluminum alloy thin-walled parts, has attracted much attentionin recent years. This work presents an experimental and theoretical study of 2024-O aluminum alloy sheet forming limit atcryogenic temperatures and provides an effective method for accurate prediction of forming limit curves (FLCs) at cryogenictemperatures. Uniaxial tensile experiments at different temperatures were carried out between 20 °C and ? 196 °C to obtainthe constitutive equation of the material at cryogenic temperatures. The Marciniak?Kuczynski (M?K) model was used topredict FLCs at cryogenic and room temperatures. The constitutive equation and yield functions are used in the model. Theeffects of different yield criteria (Mises, Hill-48, Barlat89, Gotoh, and Yld2000-2d) on the prediction results of FLC areanalyzed. These prediction results were verified by the Nakazima test, and it was found that the Yld2000-2d yield criterion isthe most accurate for FLC prediction. Finally, the M?K model is combined with this criterion to predict the FLC at differenttemperatures. It was found that the lower the temperature, the higher the FLC curve and the better the sheet formability, andthe increase is more obvious at extremely low temperatures.

목차

등록된 정보가 없습니다.

참고문헌 (49)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0