Nonlinear ultrasonic fatigue crack detection using a single piezoelectric transducer

2016 ◽  
Author(s):  
Yun-Kyu An ◽  
Dong Jun Lee
Keyword(s):  
Fatigue Crack ◽  
Piezoelectric Transducer ◽  
Crack Detection ◽  
Nonlinear Ultrasonic ◽  
Ultrasonic Fatigue ◽  
Fatigue Crack Detection

scholarly journals Self-Sensing Nonlinear Ultrasonic Fatigue Crack Detection under Temperature Variation †

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2527 ◽  
Author(s):  
Namgyu Kim ◽  
Keunyoung Jang ◽  
Yun-Kyu An
Keyword(s):  
Fatigue Crack ◽  
Crack Detection ◽  
Fatigue Cracks ◽  
False Alarms ◽  
Temperature Dependent ◽  
Nonlinear Ultrasonic ◽  
Ultrasonic Fatigue ◽  
Fatigue Crack Detection ◽  
Ultrasonic Parameters ◽  
Validation Tests

This paper proposes a self-sensing nonlinear ultrasonic technique for fatigue crack detection under temperature variations. Fatigue cracks are identified from linear (α) and nonlinear (β) ultrasonic parameters recorded by a self-sensing piezoelectric transducer (PZT). The self-sensing PZT scheme minimizes the data acquisition system’s inherent nonlinearity, which often prevents the identification of fatigue cracks. Also, temperature-dependent false alarms are prevented based on the different behaviors of α and β. The proposed technique was numerically pre-validated with finite element method simulations to confirm the trends of α and β with changing temperature, and then was experimentally validated using an aluminum plate with an artificially induced fatigue crack. These validation tests reveal that fatigue cracks can be detected successfully in realistic conditions of unpredictable temperature and that positive false alarms of 0.12% occur.

Nonlinear ultrasonic wave modulation for online fatigue crack detection

2014 ◽  
Vol 333 (5) ◽  
pp. 1473-1484 ◽  
Author(s):  
Hoon Sohn ◽  
Hyung Jin Lim ◽  
Martin P. DeSimio ◽  
Kevin Brown ◽  
Mark Derriso
Keyword(s):  
Fatigue Crack ◽  
Ultrasonic Wave ◽  
Crack Detection ◽  
Wave Modulation ◽  
Nonlinear Ultrasonic ◽  
Fatigue Crack Detection

A Spectral Correlation Based Nonlinear Ultrasonic Resonance Technique for Fatigue Crack Detection

2020 ◽  
Author(s):  
Junzhen Wang ◽  
Yanfeng Shen
Keyword(s):  
Fatigue Crack ◽  
Crack Detection ◽  
Fatigue Cracks ◽  
Nonlinear Resonance ◽  
Resonance Phenomenon ◽  
Spectral Correlation ◽  
Resonance Technique ◽  
Nonlinear Ultrasonic ◽  
Ultrasonic Resonance ◽  
Fatigue Crack Detection

Abstract This paper presents a spectral correlation based nonlinear ultrasonic resonance technique for fatigue crack detection. A reduced-order nonlinear oscillator model is initially constructed to illuminate the Contact Acoustic Nonlinearity (CAN) and nonlinear resonance phenomenon. The tailored analytical model considers the rough surface condition of the fatigue cracks, with a crack open-close transition range for the effective modeling of the variable-stiffness CAN. Multiple damage indices (DIs) associated with the degree of nonlinearity of the interrogated materials are then proposed by correlating the ultrasonic resonance spectra. The frequency sweeping signals serve as the excitation waveform to obtain the structural dynamic features. The nonlinear resonance procedure is numerically solved using the central difference method. Short time Fourier transform (STFT) is utilized to extract the resonance spectroscopy. In this study, pristine, linear wave damage interaction case (an open notch case), and nonlinear wave damage interaction case (a fatigue crack case) with various damage severities are considered. Subsequently, three case studies taking advantage of different nonlinear oscillation phenomena are conducted based on the spectral correlation algorithm to detect and monitor the fatigue crack growth: time-history dependence, amplitude dependence, and breakage of superposition. Each of these three nonlinear behaviors can either work individually or collaborate synthetically to detect the nucleation and growth of the fatigue cracks. The proposed nonlinear ultrasonic resonance technique possesses great application potential for fatigue crack detection and quantification. This paper finishes with summary, concluding remarks, and suggestions for future work.

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