彭国平, 张在东, 胥凯晖, 卢超, 李秋锋, 尤立华. Q345R疲劳损伤过程声发射信号特征分析[J]. 失效分析与预防, 2017, 12(6): 342-347. DOI: 10.3969/j.issn.1673-6214.2017.06.003
    引用本文: 彭国平, 张在东, 胥凯晖, 卢超, 李秋锋, 尤立华. Q345R疲劳损伤过程声发射信号特征分析[J]. 失效分析与预防, 2017, 12(6): 342-347. DOI: 10.3969/j.issn.1673-6214.2017.06.003
    PENG Guo-ping, ZHANG Zai-dong, XU Kai-hui, LU Chao, LI Qiu-feng, YOU Li-hua. Characteristics Analysis of Acoustic Emission Signal During Fatigue Damage Process for Q345R[J]. Failure Analysis and Prevention, 2017, 12(6): 342-347. DOI: 10.3969/j.issn.1673-6214.2017.06.003
    Citation: PENG Guo-ping, ZHANG Zai-dong, XU Kai-hui, LU Chao, LI Qiu-feng, YOU Li-hua. Characteristics Analysis of Acoustic Emission Signal During Fatigue Damage Process for Q345R[J]. Failure Analysis and Prevention, 2017, 12(6): 342-347. DOI: 10.3969/j.issn.1673-6214.2017.06.003

    Q345R疲劳损伤过程声发射信号特征分析

    Characteristics Analysis of Acoustic Emission Signal During Fatigue Damage Process for Q345R

    • 摘要: 制冷系统压力容器应用非常广泛,对于该类在役压力容器还没有可靠的实时动态监测方法。提出采用声发射检测技术对制冷系统压力容器进行实时监测,通过对容器制造材料Q345R钢的疲劳载荷试验,采集材料损伤全过程的声发射信号进行特征参数分析、波形和频谱分析,发现材料从裂纹萌生到断裂失效过程的转折点,并对不同损伤阶段声发射信号波形和频谱的特性进行对比研究,找出各个阶段声发射信号的特征,为实现Q345R声发射动态监测和评价提供可靠依据。

       

      Abstract: Refrigeration system Pressure vessels are widely used, and there is no reliable real-time dynamic monitoring method for this in-service pressure vessels. The acoustic emission testing technology is proposed for real-time monitoring of the refrigeration system pressure vessel, the fatigue load test is achieved for Q345R steel which is manufacturing materials of the pressure vessels, and characteristic parameter analysis, waveform and spectrum analysis are carried out to the signals collected from the whole material damage process, and then the turning points of material from the crack to fracture failure process are found, and the characteristics of different damage stages of AE signal waveform and spectrum are studied and compared, and the AE signal characteristics of each stage are found out, which can provide a reliable basis for acoustic emission dynamic monitoring and evaluation of Q345R.

       

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