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Improving the mechanical reliability of shape memory bulk metallic glass composites by mechanical training
Zhao, Ziyan1; Yan, Zurun1; Mu, Juan1; Zhang, Haifeng2; Wang, Yandong1
Corresponding AuthorMu, Juan(muj@atm.neu.edu.cn)
2022-01-26
Source PublicationMATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
ISSN0921-5093
Volume833Pages:7
AbstractMechanical 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.
KeywordReliability Bulk metallic glass (BMG) Martensitic phase transformation Shape memory alloys (SMA) Mechanical properties
Funding OrganizationNational Natural Science Foundation of China ; National Key Laboratory Foundation of Science and Technology on Materials
DOI10.1016/j.msea.2021.142564
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaScience & Technology - Other Topics ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS SubjectNanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS IDWOS:000761705500002
PublisherELSEVIER SCIENCE SA
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Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/173190
Collection中国科学院金属研究所
Corresponding AuthorMu, Juan
Affiliation1.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
Recommended Citation
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.
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