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梯度纳米结构奥氏体不锈钢的可控马氏体转变及应变控制疲劳行为

Controllable Martensite Transformation and Strain-Controlled Fatigue Behavior of a Gradient Nanostructured Austenite Stainless Steel.

作者信息

Lei Yunbo, Xu Jiuling, Wang Zhenbo

机构信息

Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang 110016, China.

出版信息

Nanomaterials (Basel). 2021 Jul 21;11(8):1870. doi: 10.3390/nano11081870.

Abstract

Gradient nanostructured (GNS) surface layer with a controllable martensite fraction has been synthesized on 316L austenitic stainless steel by means of surface mechanical rolling treatment (SMRT) with temperature being controlled. The mean grain size is in the nanometer scale in the near-surface layer and increases gradually with depth. In addition, the volume fraction of martensite decreases from ~85% to 0 in the near-surface layer while the SMRT temperature increases from room temperature to 175 °C. Fatigue experiments showed that the strain-controlled fatigue properties of the GNS samples are significantly enhanced at total strain amplitudes ≥0.5%, especially in those with a dual-phase surface layer of austenite and pre-formed martensite. Analyses on fatigue mechanisms illustrated that the GNS surface layer enhances the strength-ductility synergy and suppresses the formation of surface fatigue defects during fatigue. In addition, the dual-phase structure promotes the formation of martensite and stacking faults, further enhancing fatigue properties at high strain amplitudes.

摘要

通过可控温度的表面机械轧制处理(SMRT),在316L奥氏体不锈钢上合成了马氏体分数可控的梯度纳米结构(GNS)表面层。近表面层的平均晶粒尺寸处于纳米尺度,并随深度逐渐增大。此外,随着SMRT温度从室温升高到175°C,近表面层马氏体的体积分数从约85%降至0。疲劳实验表明,在总应变幅≥0.5%时,GNS样品的应变控制疲劳性能显著增强,尤其是在具有奥氏体和预形成马氏体双相表面层的样品中。疲劳机制分析表明,GNS表面层增强了强度-延展性协同效应,并抑制了疲劳过程中表面疲劳缺陷的形成。此外,双相结构促进了马氏体和堆垛层错的形成,进一步提高了高应变幅下的疲劳性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4124/8400577/0aa92365b596/nanomaterials-11-01870-g001.jpg

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