Abstract

An investigation about the application of Acoustic Emission (AE) techniques to analyze the dynamic response of different cracked shafts rendered in bump tests is presented in this work. The experimental apparatus devised for this work complies of six shafts with different transverse crack sizes and a high-frequency data acquisition system. The AE signals generated in the bump tests performed on the different cracked shafts are captured by a wideband AE transducer. Those signals are treated by using statistical moments, wavelet transforms, and frequency- and time-domain procedures. A transverse crack of predetermined depth is etched into each shaft. The experimental results show that the values of kurtosis and skewness estimated for the AE signals can be used to identify the crack size.

Highlights

  • Acoustic Emission (AE) is well known as a very efficient non-destructive technique for analysis, monitoring, and diagnosis of mechanical component failures

  • An investigation about the application of Acoustic Emission (AE) techniques to analyze the dynamic response of different cracked shafts rendered in bump tests is presented in this work

  • The AE signals generated in the bump tests performed on the different cracked shafts are captured by a wideband AE transducer

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Summary

Introduction

Acoustic Emission (AE) is well known as a very efficient non-destructive technique for analysis, monitoring, and diagnosis of mechanical component failures. Reference [7] presents a study about the applicability of AE techniques on the detection and location of failures in ball bearings Their experimental apparatus permits the application of very high loads on the rotating shaft in order to speed up the bearing surface degradation. They use spectral analysis on the AE time signals to evaluate and estimate efficiently the bearing crack initiation, propagation, and location. Reference [9] combines vibration analysis with AE techniques to investigate experimentally the AE signal features of rolling bearing defects They show that there is a relationship between the AE signal amplitude and the bearing defect size, stating that the main source of AE signal in rolling bearings are the contact surface defects on the bearing races. The preliminary results indicate that the shaft discontinuity has an influence on the AE signal levels

Skewness
Kurtosis
Apparatus Description
AE Instrumentation System
AE Signal Analysis
Results and Analysis
Final Remarks

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