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Ying et al. Microstructures 2023;3:2023018                            Microstructures
               DOI: 10.20517/microstructures.2022.47



               Research Article                                                              Open Access



               Formation of strong and ductile FeNiCoCrB network-

               structured high-entropy alloys by fluxing


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               Huiqiang Ying , Xiao Yang , Haiyan He , Kairui Tao , Zheng Guo , Lifeng Wang , Jiacheng Ge , Sinan
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                                                                            8,9
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               Liu , Shu Fu , Yu Lou , Lunhua He 4,5,6 , Yang Ren , He Zhu , Zhenduo Wu , Si Lan 1
               1
                Herbert Gleiter Institute of Nanoscience, School of Materials Science and Engineering, Nanjing University of Science and
               Technology, Nanjing 210094, Jiangsu, China.
               2
                School of Physical Sciences, Great Bay University, Dongguan 523000, Guangdong, China.
               3
                Nanjing Huaxing Pressure Vessel Manufacture Co., Nanjing 210000, Jiangsu, China.
               4
                Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190,
               China.
               5
                Spallation Neutron Source Science Center, Dongguan 523803, Guangdong, China.
               6
                Songshan Lake Materials Laboratory, Dongguan 523808, Guangdong, China.
               7
                Department of Physics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China.
               8
                City University of Hong Kong (Dongguan), Dongguan 523000, Guangdong, China.
               9
                Center for Neutron Scattering, City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, Guangdong, China.
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                Authors contributed equally.
               Correspondence to: Prof. Zhenduo Wu, City University of Hong Kong (Dongguan), Dongguan 523000, Guangdong, China. E-
               mail: zd.wu@cityu.edu.cn; Prof. Si Lan, Herbert Gleiter Institute of Nanoscience, School of Materials Science and Engineering,
               Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China. E-mail: lansi@njust.edu.cn
               How to cite this article: Ying H, Yang X, He H, Tao K, Guo Z, Wang L, Ge J, Liu S, Fu S, Lou Y, He L, Ren Y, Zhu H, Wu Z, Lan S.
               Formation of strong and ductile FeNiCoCrB network-structured high-entropy alloys by fluxing. Microstructures 2023;3:2023018.
               https://dx.doi.org/10.20517/microstructures.2022.47
               Received: 30 Dec 2022  First Decision: 31 Jan 2023  Revised: 22 Feb 2023 Accepted: 3 Mar 2023  Published: 24 Mar 2023
               Academic Editor: Huijun Li  Copy Editor: Fangling Lan  Production Editor: Fangling Lan
               Abstract
                                    0.15 100-x B x  (x = 12, 15, 17) high-entropy alloys with network-like microstructures (N-HEAs)
               A series of [(FeNiCo) 0.85 Cr ]
               and a wavelength of 3-5 μm was prepared using the fluxing method. The novel N-HEAs exhibited higher strength
               and ductility compared with samples obtained by suction casting. Neutron diffraction and scanning electron
               microscopy measurements showed that the network-like structure contained soft face-centered cubic (FCC) and
               hard tetragonal Cr B-type sub-networks. The network-like structure was formed during the solidification of the
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               molten alloy from a deeply undercooled state, achieved by removing impurities and most metallic oxides through
               B O  fluxing. The mechanical properties could be tuned by modifying the composition to change the volume
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               fractions of the different sub-networks. When x decreased from 17 to 12, the compressive yield strength decreased
               from 1.6 to 1.1 GPa, while the compressive strain increased from ~20% to ~70%. The N-HEA samples with x = 12
                           © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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