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38 - Analysis of kinking and twinning behavior in mg alloys by AE clustering method

机译:38-通过AE聚类分析镁合金的扭结和孪生行为

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摘要

LPSO (Long Period Stacking Ordered Structure)-Mg alloy has both low density and high strength, andit is expected to be applied to transport equipment. However, it is necessary to evaluate thedeformation and fracture behavior for usage as structural materials. Acoustic emission (AE) signalswere analyzed and classified using several machine learning methods to evaluate the deformationmechanism of various LPSO-Mg alloys. It is difficult to identify AE signals due to each deformationmechanism in extruded materials consisting of two phases, α-Mg phase and LPSO phase. In thisstudy, the high-speed camera was used to directly observe the kink deformation in LPSO phase andthe twinning deformation in α-Mg phase. Compression tests were carried out, and AE signals duringtests from sensors attached to the jig were continuously measured and recorded using ContinuousWave Memory (CWM) developed in our laboratory. Surface motion of specimens was captured by ahigh-speed camera using the AE signal as a trigger. Based on the recorded AE signals correspondingto kink deformation and twinning, AE behaviors of different extruded LPSO-Mg alloys weresuccessfully classified into the kinking and twinning by machine learning methods.
机译:LPSO(长期堆放有序结构)-Mg合金具有低密度和高强度,并且有望用于运输设备。但是,有必要评估用作结构材料的变形和断裂行为。使用几种机器学习方法对声发射(AE)信号进行了分析和分类,以评估各种LPSO-Mg合金的变形/机理。由于由α-Mg相和LPSO相这两个相组成的挤压材料中的每种变形/机理,很难识别AE信号。本研究使用高速相机直接观察LPSO相的扭结变形和α-Mg相的孪生变形。进行了压缩测试,并使用我们实验室开发的连续波记忆(CWM)连续测量和记录了夹具上的传感器发出的AE信号。标本的表面运动是通过AE信号作为触发通过高速相机捕获的。根据记录的与扭结变形和孪生相对应的AE信号,通过机器学习方法将不同挤压LPSO-Mg合金的AE行为成功地分类为扭结和孪生。

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  • 来源
    《Journal of acoustic emission》 |2018年第2018期|S227-S232|共6页
  • 作者单位

    Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan;

    Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan;

    Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan;

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  • 入库时间 2022-08-18 04:16:41

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