中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving the tensile ductility of metal matrix composites by laminated structure: A coupled X-ray tomography and digital image correlation study

文献类型:期刊论文

作者Fan, GH; Geng, L; Wu, H; Miao, KS; Cui, XP; Kang, HJ; Wang, TM; Xie, HL; Xiao, TQ
刊名SCRIPTA MATERIALIA
出版日期2017
卷号135期号:-页码:63-67
关键词Plasticity Strength Deformation Fatigue Steel
ISSN号1359-6462
DOI10.1016/j.scriptamat.2017.03.030
文献子类期刊论文
英文摘要The microstructure design strategy of laminated structure was applied to improve the mechanical properties of metal matrix composites (MMCs). The laminated composites were prepared by hot pressing and rolling of alternately stacked Ti foils and Sic/Al composite foils, and exhibited a superior strength-ductility synergy compared to SiCp/Al bulk MMCs. Coupling X-ray tomography and digital image correlation (DIC) revealed that the enhanced mechanical properties originated from the contribution of the interface on local stress/strain transfer behaviors, thus delaying the crack initiation and propagation within SiCp/Al layers. (C) 2017 Acta Materialia Inc Published by Elsevier Ltd. All rights reserved.
WOS关键词PLASTICITY ; STRENGTH ; DEFORMATION ; FATIGUE ; STEEL
语种英语
WOS记录号WOS:000402344900015
源URL[http://ir.sinap.ac.cn/handle/331007/28691]  
专题上海应用物理研究所_中科院上海应用物理研究所2011-2017年
推荐引用方式
GB/T 7714
Fan, GH,Geng, L,Wu, H,et al. Improving the tensile ductility of metal matrix composites by laminated structure: A coupled X-ray tomography and digital image correlation study[J]. SCRIPTA MATERIALIA,2017,135(-):63-67.
APA Fan, GH.,Geng, L.,Wu, H.,Miao, KS.,Cui, XP.,...&Xiao, TQ.(2017).Improving the tensile ductility of metal matrix composites by laminated structure: A coupled X-ray tomography and digital image correlation study.SCRIPTA MATERIALIA,135(-),63-67.
MLA Fan, GH,et al."Improving the tensile ductility of metal matrix composites by laminated structure: A coupled X-ray tomography and digital image correlation study".SCRIPTA MATERIALIA 135.-(2017):63-67.

入库方式: OAI收割

来源:上海应用物理研究所

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