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Time Domain Analysis of Acoustic Emission Signal for Internal Surface Roughness Classification

机译:内表面粗糙度分类的声发射信号时域分析

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This paper describes the acoustic emission approach for internal surface roughness classification. Rough internal surface can be related to corrosion that usually occurred inside pipe. Two flow rates with different Reynolds number value are introduced in a pipe (smooth and rough internal surface) obstructed using normally available components (e.g.: valve). The time domain parameter of Acoustic Emission signals; peak amplitude and Root Mean Square (R.M.S) amplitude, at suitable location from the obstruction are obtained. Crest factor, C, which is defined as peak to RMS amplitude ratio was calculated in smooth pipe measurement compared to the crest factor in rough surface pipe measurement. It was observed that, at high flow rate measurement, crest factor value obtained can be used to successfully discriminate between rough and smooth internal surface roughness. For smooth internal surface pipe, the Crest Factor value is above than 4.0 at flow with Reynolds Number value above 40,000. Meanwhile for the C value below than 4.0, it can be classified as rough internal surface pipe.
机译:本文介绍了内表面粗糙度分类的声发射方法。粗糙的内表面可以与通常发生在管内的腐蚀有关。使用正常可用的组件(例如:阀门)阻碍的管道(平滑粗糙的内表面)引入具有不同雷诺数值的两个流速。声发射信号的时域参数;获得峰值幅度和均方根(下方)幅度,在梗阻的合适位置。与粗糙的表面管道测量中的波峰因数相比,在平滑的管道测量中计算了与RMS振幅比的峰值幅度的CREST因子C.观察到,在高流速测量下,获得的峰值因子值可用于成功区分粗糙和平滑的内表面粗糙度。对于光滑的内表面管,波峰因子值高于4.0,流量超过40,000的雷诺数值。同时对于低于4.0的C值,它可以被归类为粗糙的内表面管道。

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