Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training

doi:10.1016/j.msea.2021.142564

IMR OpenIR

	Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training
	Zhao, Ziyan 1; Yan, Zurun 1; Mu, Juan 1; Zhang, Haifeng 2; Wang, Yandong 1
通讯作者	Mu, Juan(muj@atm.neu.edu.cn)
	2022-01-26
发表期刊	MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
ISSN	0921-5093
卷号	833 页码:7
摘要	Mechanical reliability of metallic glass composites is an important performance affecting their engineering applications as structural materials. In this work, the reliability of shape memory bulk metallic glass composites was evaluated by coefficient of variation. The coefficient of variation of mechanical properties, especially the plastic strain was reduced more than 34% by 1 cycle mechanical training at 800 similar to 900 MPa or by 10 cycles at 600 MPa. The mechanism of enhanced reliability by proper mechanical training was revealed. These proper training treatments would provide more martensite nuclei, thus reduce the randomness of martensitic transformation and shear bands initiation. This investigation provides a method for improving the mechanical reliability of bulk metallic glass composites for the first time.
关键词	Reliability Bulk metallic glass (BMG) Martensitic phase transformation Shape memory alloys (SMA) Mechanical properties
资助者	National Natural Science Foundation of China ; National Key Laboratory Foundation of Science and Technology on Materials
DOI	10.1016/j.msea.2021.142564
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[51771049] ; National Natural Science Foundation of China[51790484] ; National Key Laboratory Foundation of Science and Technology on Materials[JCKYS2020602005]
WOS研究方向	Science & Technology - Other Topics ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS类目	Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000761705500002
出版者	ELSEVIER SCIENCE SA
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/173190
专题	中国科学院金属研究所
通讯作者	Mu, Juan
作者单位	1.Northeastern Univ, Sch Mat Sci & Engn, Key Lab Anisotropy & Texture Mat MOE, Shenyang 110004, Peoples R China 2.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Ziyan,Yan, Zurun,Mu, Juan,et al. Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training[J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING,2022,833:7.
APA	Zhao, Ziyan,Yan, Zurun,Mu, Juan,Zhang, Haifeng,&Wang, Yandong.(2022).Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training.MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING,833,7.
MLA	Zhao, Ziyan,et al."Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training".MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING 833(2022):7.