journal article·2023-04

Deuterium induced defects and embrittlement behavior of a Co-free high entropy alloy

Xudong An, Daohua Zhang, Hui Zhang, Qianqian Wang, Te Zhu, Zhenggang Wu, Weidong Zhang, Huiqiu Deng, Wangyu Hu, Xingzhong Cao, Tengfei Yang

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Abstract

Long-term exposure of structural materials to extreme hydrogen-enriched environments will lead to hydrogen embrittlement, and thus search and design of new alloys with economic and safety benefits against hydrogen embrittlement have become a top priority for the development of many engineering fields. In this work, the hydrogen embrittlement behavior of a new cobalt-free high-entropy alloy (HEA) Fe 27Ni 28Mn 27Cr 18 was systematically studied and compared with a typical quaternary HEA Fe 25Co 25Cr 25Ni 25 . Numerous vacancies are produced in the process of electrochemical deuterium charging and the corresponding concentration is related with the solubility of deuterium atoms. Fe 27Ni 28Mn 27Cr 18 has much higher concentrations of deuterium and vacancies than Fe 25Co 25Cr 25Ni 25 , which is attributed to the Mn induced severe lattice distortion and results in different variations of mechanical properties. The ultimate tensile strength (UTS) of Fe 27Ni 28Mn 27Cr 18 increases from 353.73 MPa to 589.50 MPa after electrochemical hydrogen charging while the elongation still remains at 74.73%, and its deformation mechanism is dominated by dislocation proliferation. In contrast, the UTS of hydrogen charged Fe 25Co 25Cr 25Ni 25 decreases from 552.79 MPa to 501.53 MPa and the corresponding elongation also decreases from 74.65% to 67.24%, and the plastic deformation mechanism is dominated by twinning. This work demonstrates an economic cobalt-free HEA with great resistance to hydrogen embrittlement, which would enhance the applications of HEAs in hydrogen-enriched environments.
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Research context

OpenAlex topics: High Entropy Alloys Studies · High-Temperature Coating Behaviors · Metal and Thin Film Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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