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PE拉伸失效破坏过程声发射信号分析及失效前兆预测 被引量:2

Acoustic Emission Signal Analysis for Tensile Failure Process of PE and Prediction of Failure Precursor
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摘要 为了实时监测聚乙烯(PE)拉伸失效破坏过程声发射信号,在5种不同拉伸速度下对PE材料进行恒速拉伸破坏实验,首先在时域下对拉伸破坏过程各阶段的声发射信号特征参数变化规律进行了分析,然后应用频谱分析方法对PE材料拉伸失效破坏过程声发射信号的频谱规律进行了研究。结果表明,PE材料在拉伸失效破坏过程中,弹性阶段不产生声发射信号,屈服阶段声发射信号主频范围为62~64kHz,颈缩阶段主频范围为110~130kHz,断裂阶段主频范围为20~30kHz,且这些主频范围不受拉伸速度大小的影响。最后在此基础上建立了基于声发射信号频谱分析的PE塑料失效前兆预测方法并进行了验证,验证结果表明基于声发射信号频谱分析的PE塑料失效前兆预测是可行的。 In order to monitor the acoustic emission signals of polyethylene(PE)tensile failure in real time,constant tensile failure experiments were carried out on PE materials at five different tensile speeds.Firstly,the variation of the characteristic parameters of acoustic emission signal in each stage of tensile failure was analyzed in time domain.Then the spectral law of the acoustic emission signal during the tensile failure process of PE material was investigated.The results show that,during the tensile failure process of the PE material,no obvious acoustic emission signals are produced in the elastic stage of the PE material,the main frequency ranges of the acoustic emission signals in different phases are 62-64 kHz in yield phase,110-130 kHz in neck reduction phase,and 20-30 kHz in the fracture phase,respectively,and these frequency ranges are not affected by the tensile speed.Finally,a prediction method for failure precursor of PE plastics based on spectrum analysis of acoustic emission signal is established and verified,the verification results show that the method of predicting the failure precursor of PE plastics based on spectrum analysis of acoustic emission signal is feasible.
作者 李俊 唐万文 张学非 毛丹 殷鹰 Li Jun;Tang Wanwen;Zhang Xuefei;Mao Dan;Yin Ying(College of Mechanical Engineering,Sichuan University of Science and Engineering,Zigong 643000,China;Sichuan Special Equipment Inspection Institute,Chengdu 610061,China)
出处 《工程塑料应用》 CAS CSCD 北大核心 2018年第9期106-111,共6页 Engineering Plastics Application
基金 国家质检总局科研项目(2017QK121) 过程装备与控制工程四川省高校重点实验室项目(GK201706)
关键词 聚乙烯 失效 声发射 监测 预测 polyethylene failure acoustic emission monitoring prediction
作者简介 通讯作者:李俊,博士,教授,主要从事系统安全可靠性保障与智能化技术研究E-mail:zg_junli@sina.com。
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