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Study On Acoustic Emission Signals Of 16MnR At Tensile Progress Of High Temperature

Posted on:2012-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:C J FengFull Text:PDF
GTID:2121330332475707Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
Acoustic Emission(AE) testing technology had got a wide range of applications and made very outstanding contributions in petroleum chemical industry, aviation, med-ical, power, transportation and so on since it was put forward. All these industies are very important for the national economy and the people's life. It has many advantages such as timely, in linear, simple operation, equipment and environmental requirements. Even a very slight movement change can be detected in material interior. In the ex-isting technical condition AE can detect 10"13mm Micro dislocation motion with the most advanced testing instrument. When the internal energy of metal material gathered to cause plastic deformation or crack propagation it will produce AE signals with the effect of external forces and temperature. AE signal contains important information of the AE source. We can judge the material's stress state, damage degree and other properties with the analysis of acoustic emission signals.This paper mainly studies on the characteristics and waveform of AE signal at the different high temperature during the tensile process of the 16MnR. The main works are asfollows:Firstly, studied the effects to the feature parameters of AE signal with the use of waveguide pole, And secondly, analysised the feature parameters of AE signals at 300℃, including amplitude, counting, energy and the relevance of the feature par-ameters, the relationship of counting and other parameters, the experience of the feature parameters. Thirdly, using MATLAB wavelet analysis function for signal decomposition and reconstruction, to obtain acoustic emission signal changes, and then tectoniced the spectrumdiagrams of the reconstruction signal using FFT transform. Concluded the different feature spectrum of high temperatures, and infered the peak frequency of AE signals and characteristic frequency in the high temperature environment.
Keywords/Search Tags:Acoustic Emission, 16MnR steel, Parameter analysis, Wavelet analysis
PDF Full Text Request
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