Miaolan An

Beijing Institute of Technology

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Kaixuan Chen

Fudan University

Zhiping Xiong

Beijing Institute of Technology

Xingwang Cheng

Beijing Institute of Technology

Yunfei Xue

Beijing Institute of Technology

Weidong Zou

Beijing Institute of Technology

Ziqi Xu

Nanjing Forestry University

Xingwang Cheng

Tangshan College

Tongbin Xie

Yantai University

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Beijing Institute of Technology

National Center for Nanoscience and Technology

Tangshan College

Impact Technology Development (United States)

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University of Science and Technology Beijing

Aviation Industry Corporation of China (China)

Beijing Institute of Education

China University of Mining and Technology

Beijing University of Technology

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Effect of Fe content on microstructures and mechanical properties of eutectic Co-Cr-Fe-Ni-Hf multi-principal element alloys

Journal of Alloys and Compounds (2023)

Kaixuan Chen Zhiping Xiong Miaolan An Xingwang Cheng

10.1016/j.jallcom.2023.168724

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Citations (5)

Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys

Materials & Design (2022)

Kaixuan Chen Zhiping Xiong Miaolan An Tongbin Xie Weidong Zou

Eutectic multi-principal element alloys (MPEAs) present a vast compositional space of eutectics, providing a great potential to tailor mechanical performance. However, only limited eutectics have been determined since MPEAs were brought to light in 2014. It still remains a huge challenge to efficiently identify the eutectics. Here, we propose a novel strategy to determine eutectic compositions via phenomenological mode and machine learning, which is validated with Co-Cr-Fe-Ni-Hf/Al MPEAs. Phenomenologically, approximate eutectics can be calculated via the addition of binary eutectics when ignoring the effect of Co-Cr-Fe-Ni interaction. Then, these eutectics are quantitatively corrected by only adjusting Hf content through machine learning. A prediction accuracy higher than 90% is achieved. Noticeably, the variation of eutectic compositions significantly alters the microstructures, leading to great changes in mechanical performances. These findings can potentially pave the pathway to explore the vast compositional space of eutectics and dramatically accelerate the development of eutectic MPEAs.

Phenomenological model

10.1016/j.matdes.2022.110795

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Large strength and decent ductility at 600 °C achieved in bimodal eutectic high-entropy alloys

Journal of Materials Research and Technology (2022)

Kaixuan Chen Zhiping Xiong Miaolan An Ziqi Xu Xingwang Cheng

Designed Co–Cr–Fe–Ni-Hf bimodal eutectic high-entropy alloy (BEHEA) exhibits the largest yield strength (2123 ± 38 MPa) at 600 °C reported in the literature due to hard BCC+Laves eutectics and achieves a decent ductility owing to the surrounding soft FCC+Laves eutectics. The BEHEA provides a new strategy to design EHEAs.

Ductility (Earth science)

High-Entropy Alloys

Laves phase

10.1016/j.jmrt.2022.12.167

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Citations (10)