Research on the Multi-Actuator and Sensor Detecting Technology Based on Piezoelectric Composite Materials

Abstract:

Traditional ultrasonic methods are popular in identifying easily detectable cracks, but are not good enough in minute crack detection. Early damage identification is important in preventing larger crack development and future catastrophes. Highly sensitive and precise actuator/sensor is employed to improve the detection capability of these minute cracks. The Orthotropic Piezoelectric Composite Material (OPCM) has been developed as a functional material that can be conveniently used as a highly sensitive actuator/sensor. Comparing the OPCM with the traditional elements, the former has the ability of exciting and receiving focus power and directional strain waves. They have been used in non-destructive technology in many structural engineering inspections. Using the filtering capabilities of the OPCM sensor and Hilbert-Huang Transform (HHT) method, the experimental results show that by using the multi-actuator and sensor, the simulated cracks inside aluminum plane specimen can be successfully identified.

• Periodical: Advanced Materials Research (Volumes 1120-1121)
• Pages: 1363-1367
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1120-1121.1363
• Online since: July 2015
• Authors: Zi Ping Wang*, Xing Jia Li
• Keywords: Damage Detection, HHT, Multi-Actuator, Piezoelectric Composite Material, Sensor, Ultrasonic

References

[1] P. Muralt, Ferroelectric thin films for micro-sensors and actuators: a review, J. Micromech. Microeng. 10 (2000) 136-146.

DOI: 10.1088/0960-1317/10/2/307

[2] E. B. Tadmor and G. J. K' osam, Electromechanical Cou- pling Correction for Piezoelectric Layered Beams, Syst. 12 (2003) 899-906.

DOI: 10.1109/jmems.2003.820286

[3] Y. Shen, W. J. Pei and Y. Luo, Experiment Research and Numerical Simulation on the Dynamic Sense Characteristics of OPCM, Piezoelectectrics & Acoustooptics. 30 (2008) 649-651.

[4] Y. Luo and Z. P. Wang, Fabrication and performance evaluation of OPCM array transducer. AMM, 83 (2011) 109-115.

DOI: 10.4028/www.scientific.net/amm.83.109

[5] Z. P. Wang and Y. Luo, Focusing Modeling of OPFC Linear Array Transducer by Using Distributed Point Source Method, Abstr. Appl. Anal. (2014) http: /dx. doi. org/ 10. 1155/2014/840748.

DOI: 10.1155/2014/840748

[6] W. F. Hao, Tang. C, Y. N. Yuan, X. F. Yao and Y. J. Ma. Experimental study on the fiber pull-out of composites using digital gradient sensing method, Polym Test. 41 (2015) 239-244.

DOI: 10.1016/j.polymertesting.2014.12.005

[7] E. Norden and S. Zheng, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Royal Society of London Series, 454 (1998) 903-995.

DOI: 10.1098/rspa.1998.0193

[8] Z.K. Peng，W. T. Peter and F.L. Chu, A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing. Mech. Syst. Signal. Pr. 19 (2005) 974~988.

DOI: 10.1016/j.ymssp.2004.01.006

[9] H. B. Xie and Z. Z. Wang. Mean frequency derived via Hilbert-Huang transform with application to farigue EMG signal analysis, Comput. Meth. Prog. Bio. 82 (2006) 114-120.

DOI: 10.1016/j.cmpb.2006.02.009