scholarly journals Acoustic Emission Signal Due to Fiber Break and Fiber Matrix Debonding in Model Composite: A Computational Study

2021 ◽  
Vol 11 (18) ◽  
pp. 8406
Author(s):  
Zeina Hamam ◽  
Nathalie Godin ◽  
Claudio Fusco ◽  
Aurélien Doitrand ◽  
Thomas Monnier
Keyword(s):  
Acoustic Emission ◽  
Computational Study ◽  
Fiber Composite ◽  
Carbon Fiber Composite ◽  
Model Composite ◽  
Fiber Break ◽  
Emission Signal ◽  
Detection And Identification ◽  
Fiber Matrix ◽  
Ae Signals

Acoustic emission monitoring is a useful technique to deal with detection and identification of damage in composite materials. Over the last few years, identification of damage through intelligent signal processing was particularly emphasized. Data-driven models are developed to predict the remaining useful lifetime. Finite elements modeling (FEM) was used to simulate AE signals due to fiber break and fiber/matrix debonding in a model carbon fiber composite and thereby better understand the AE signals and physical phenomena. This paper presents a computational analysis of AE waveforms resulting from fiber break and fiber/matrix debonding. The objective of this research was to compare the AE signals from a validated fiber break simulation to the AE signals obtained from fiber/matrix debonding and fiber break obtained in several media and to discuss the capability to detect and identify each source.

scholarly journals Modelling of Acoustic Emission Signals Due to Fiber Break in a Model Composite Carbon/Epoxy: Experimental Validation and Parametric Study

2019 ◽  
Vol 9 (23) ◽  
pp. 5124 ◽  
Author(s):  
Hamam ◽  
Godin ◽  
Fusco ◽  
Monnier
Keyword(s):  
Acoustic Emission ◽  
Parametric Study ◽  
Supervised Classification ◽  
Model Composite ◽  
Fiber Break ◽  
Wave Effects ◽  
Propagation Medium ◽  
Composite Carbon ◽  
Ae Signals

The present paper focuses on experiments and numerical simulation of the acoustic emission (AE) signals due to fiber break in a model composite. AE signals are related to wave effects due to the source, the propagation medium and the sensor. For quantitative AE analysis, it is very important to understand the effect of the piezoelectric sensors and propagation on the “primitive” AE signals. In this study, we investigate the influence of sensors, thickness, and position of the fiber by finite element simulations. This parametric study can allow an enlargement of the library for supervised classification of AE signals.

scholarly journals Failure Mode Analysis of Carbon Fiber Composite Laminates by Acoustic Emission Signals

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xinye Liu ◽  
Xinyue Yao ◽  
Jinhui Cai ◽  
Jiusun Zeng ◽  
Wingkong Chiu
Keyword(s):  
Acoustic Emission ◽  
Composite Laminates ◽  
Failure Modes ◽  
Fiber Composite ◽  
Mode Analysis ◽  
Carbon Fiber Composite ◽  
Bending Tests ◽  
Stacking Order ◽  
Failure Mode Analysis ◽  
Ae Signals

Composite laminates have complex failure modes. In order to investigate the evolution of failure in the composite laminates, this paper performed an experimental study on four laminates with different layups using acoustic emission (AE) technique. Two different kinds of defects are imposed on the laminates, including a hole and a crack in the center. Tensile and bending tests are performed on the defective laminates and real-time AE signals are collected. By analyzing the spectrograms of the obtained AE signals and integrating with the dispersion curves, the evolution of failure modes for different laminates can be observed. The tests show that the defects cause multiple failure modes, which change gradually during the experiments. It is also revealed that laminates with different layups have different failure modes. More specifically, the stacking order of different plies has a greater impact on the occurrence of delamination and fiber fracture than matrix crack. The tentative research shows that there is great potential for improving the performance of the composite laminates by careful selection of ply layups.

Acoustic Emission Monitoring of Leaks in Pipes for Transport of Liquid and Gaseous Media: A Model Experiment

2006 ◽  
Vol 13-14 ◽  
pp. 351-356 ◽  
Author(s):  
Andreas J. Brunner ◽  
Michel Barbezat
Keyword(s):  
Acoustic Emission ◽  
Model Experiment ◽  
Structural Integrity ◽  
Fiber Composite ◽  
Leak Testing ◽  
Pipe Segment ◽  
Potential Applications ◽  
Gaseous Media ◽  
The Media ◽  
Ae Signals

In order to explore potential applications for Active Fiber Composite (AFC) elements made from piezoelectric fibers for structural integrity monitoring, a model experiment for leak testing on pipe segments has been designed. A pipe segment made of aluminum with a diameter of 60 mm has been operated with gaseous (compressed air) and liquid media (water) for a range of operating pressures (between about 5 and 8 bar). Artificial leaks of various sizes (diameter) have been introduced. In the preliminary experiments presented here, commercial Acoustic Emission (AE) sensors have been used instead of the AFC elements. AE sensors mounted on waveguides in three different locations have monitored the flow of the media with and without leaks. AE signals and AE waveforms have been recorded and analysed for media flow with pressures ranging from about 5 to about 8 bar. The experiments to date show distinct differences in the FFT spectra depending on whether a leak is present or not.

Experiment on Surface Roughness and Acoustic Emission Signal in Infeed Period of Cylindrical Plunge Grinding

2013 ◽  
Vol 690-693 ◽  
pp. 2442-2445 ◽  
Author(s):  
Hao Lin Li ◽  
Hao Yang Cao ◽  
Chen Jiang
Keyword(s):  
Surface Roughness ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Feed Rate ◽  
Grinding Process ◽  
Experiment Research ◽  
Plunge Grinding ◽  
Emission Signal ◽  
Ae Signal ◽  
Ae Signals

This work presents an experiment research on Acoustic emission (AE) signal and the surface roughness of cylindrical plunge grinding with the different infeed time. The changed infeed time of grinding process is researched as an important parameter to compare AE signals and surface roughnesses with the different infeed time in the grinding process. The experiment results show the AE signal is increased by the increased feed rate. In the infeed period of the grinding process, the surface roughness is increased at first, and then is decreased.

Research of Acoustic Emission Signal De-Noising Based on Lifting Wavelet Packet

2011 ◽  
Vol 143-144 ◽  
pp. 622-626
Author(s):  
X.J. Li ◽  
Z. Q. Deng ◽  
L. L. Jiang ◽  
P Li ◽  
K. F He
Keyword(s):  
Acoustic Emission ◽  
Characteristic Frequency ◽  
Wavelet Packet ◽  
Noise Signal ◽  
Emission Signal ◽  
Feature Information ◽  
Weak Fault ◽  
Lifting Wavelet ◽  
Ae Signals ◽  
Fault Characteristic

Aiming at the extraction of failure character signal for early acoustic emission (AE) signals, a method to combine lifting wavelet packet with spectrum zoom technology is developed. Using lifting wavelet packet de-noising method, not only filters the noise signal, but also retains the feature information. After the signals de-noising, combining the envelope demodulation analysis with the spectrum zoom technology, which can effective extract the weak fault characteristic frequency The result of simulated signals and experimental signals shows that the proposed method has better noise reduction with a higher signal noise ratio (SNR) and lower mean square error (MSE), and it can successfully extract the fault characteristic frequency of rotating machinery early AE signals.

Experimental and Computational Aeroelastic Analysis of a Composite Material Delta Wing in Low Subsonic Flow

2011 ◽  
Author(s):  
Kedar Sapkal ◽  
Peter J. Attar
Keyword(s):  
Composite Material ◽  
Limit Cycle ◽  
Structural Dynamics ◽  
Strain Energy ◽  
Delta Wing ◽  
Computational Study ◽  
Fiber Composite ◽  
Computational Time ◽  
Carbon Fiber Composite ◽  
Dimensional Parameter

An experimental and computational study of the flutter and limit cycle oscillations (LCOs) of a three layer, carbon fiber composite material 45° delta wing is presented. The computational aeroelastic model utilizes a set of nonlinear structural dynamics (modal) equations which are coupled to a vortex lattice aerodynamic model. The nonlinear modal equations for the structure are formulated using a system identification methodology. To reduce the computational time needed in the computation of the strain energy needed to construct the reduced order structural dynamics model, a new algorithm which uses a Smolyak sparse grid technique is proposed to perform the sampling of strain energy data used for generation of the equations of motion. Experiments and computations are performed, and compared, for a number of layup configuration angles. The qualitative agreement between experimental flutter and limit cycle results is good with both sets of results displaying similar trends with respect to variations in layup angle and a non-dimensional parameter which gives a measure of the bending-torsion coupling in the laminate.

The Design of Bearing Monitoring System Based on Acoustic Emission Signal

2014 ◽  
Vol 716-717 ◽  
pp. 940-943
Author(s):  
Ke Huang ◽  
Zhi Kang Bu ◽  
Chi Zhang ◽  
Heng Lian Xie
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Acoustic Emission Method ◽  
Emission Method ◽  
Emission Signal ◽  
Bearing Fault Diagnosis ◽  
Bearing Condition Monitoring ◽  
Condition Monitoring System ◽  
Bearing Monitoring ◽  
Ae Signals

After experimental verification, in terms of low-speed bearing fault diagnosis, the acoustic emission method is superior to the traditional vibration method. In order to further the study of the correlation between AE signals and the bearing state, this article refers to the bearing condition monitoring system, and gives detailed parts models, the acoustic emission acquisition system, which provides help for further researches.

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