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强韧性高熵合金中的斯努克型阻尼性能。

Snoek-type damping performance in strong and ductile high-entropy alloys.

作者信息

Lei Zhifeng, Wu Yuan, He Junyang, Liu Xiongjun, Wang Hui, Jiang Suihe, Gu Lin, Zhang Qinghua, Gault Baptiste, Raabe Dierk, Lu Zhaoping

机构信息

Beijing Advanced Innovation Center for Materials Genome Engineering, State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing 100083, China.

Department of Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung, Düsseldorf, Germany.

出版信息

Sci Adv. 2020 Jun 17;6(25):eaba7802. doi: 10.1126/sciadv.aba7802. eCollection 2020 Jun.

Abstract

Noise and mechanical vibrations not only cause damage to devices, but also present major public health hazards. High-damping alloys that eliminate noise and mechanical vibrations are therefore required. Yet, low operating temperatures and insufficient strength/ductility ratios in currently available high-damping alloys limit their applicability. Using the concept of high-entropy alloy (HEA), we present a class of high-damping materials. The design is based on refractory HEAs, solid-solutions doped with either 2.0 atomic % oxygen or nitrogen, (Ta0.5Nb0.5HfZrTi)O and (Ta0.5Nb0.5HfZrTi)N. Via Snoek relaxation and ordered interstitial complexes mediated strain hardening, the damping capacity of these HEAs is as high as 0.030, and the damping peak reaches up to 800 K. The model HEAs also exhibit a high tensile yield strength of ~1400 MPa combined with a large ductility of ~20%. The high-temperature damping properties, together with superb mechanical properties make these HEAs attractive for applications where noise and vibrations must be reduced.

摘要

噪音和机械振动不仅会对设备造成损害,还会对公众健康构成重大危害。因此,需要能够消除噪音和机械振动的高阻尼合金。然而,目前可用的高阻尼合金工作温度低,强度/延展性比率不足,限制了它们的适用性。利用高熵合金(HEA)的概念,我们提出了一类高阻尼材料。该设计基于难熔高熵合金,即掺杂2.0原子%氧或氮的固溶体,(Ta0.5Nb0.5HfZrTi)O和(Ta0.5Nb0.5HfZrTi)N。通过斯耐克弛豫和有序间隙复合物介导的应变硬化,这些高熵合金的阻尼能力高达0.030,阻尼峰值高达800K。模型高熵合金还表现出约1400MPa的高拉伸屈服强度以及约20%的大延展性。高温阻尼性能以及卓越的机械性能使这些高熵合金对于必须降低噪音和振动的应用具有吸引力。

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