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
Wenhui Liu (Hunan University of Science and Technology) Ping Cao (Hunan University of Science and Technology) Chenbing Zhao (Hunan University of Science and Technology) Yufeng Song (Hunan University of Science and Technology) Changping Tang (Hunan University of Science and Technology)
저널정보
대한금속·재료학회 Metals and Materials International Metals and Materials International Vol.27 No.11
발행연도
2021.11
수록면
4,397 - 4,407 (11page)
DOI
10.1007/s12540-020-00853-z

이용수

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

초록· 키워드

오류제보하기
The dynamic mechanical behaviors of 7B52 laminated aluminum alloy under different impact deformation conditions wereinvestigated using split Hopkinson pressure bar, optical microscopy, electron backscatter diffraction and transmission electronmicroscopy. The results show that the 7B52 laminated aluminum alloy displays positive strain rate sensitivity and negativetemperature sensitivity. Cracks are formed firstly at the interface between the 7A62 hard layer and the 7A01 middle layerunder a low strain rate of 2200 s?1. When the strain rate increases to 3500 s?1, the deformation shear band is firstly formed inthe 7A52 soft layer. The deformation shear band transformed to the transition shear band with the increase of strain rate, andthen crack initiated. Adiabatic shear bands and cracks are formed in both of the hard and soft layers when samples impactedat a high strain rate (5500 s?1). Most of the cracks and adiabatic shear bands are unable to penetrate the middle layer dueto the good toughness of the 7A01 alloy. The deformation of each layer of 7B52 laminated aluminum alloy becomes moreuniform when the temperature increases, which was attributed to the reduction of difference in strength among the threelayers and the coordinating effect of grain boundary on deformation.

목차

등록된 정보가 없습니다.

참고문헌 (37)

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