scholarly journals Optimization of Nonlinear Lamb Wave Detection System Parameters in CFRP Laminates

Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3186
Author(s):  
Zhenhua Yin ◽  
Ying Tie ◽  
Yuechen Duan ◽  
Cheng Li
Keyword(s):  
Nondestructive Testing ◽  
Response Surface ◽  
Lamb Wave ◽  
Detection System ◽  
Output Level ◽  
Ultrasonic Detection ◽  
Cycle Number ◽  
Cfrp Laminates ◽  
System Parameters ◽  
Nonlinear Ultrasonic

Carbon fiber reinforced polymer (CFRP) laminates, as unique multifunctional materials, are widely applied in various aircraft, such as airliners, fighter planes, and space shuttles. To ensure aircraft safety during the production and application of CFRP laminates, it is necessary to improve the accuracy of nonlinear Lamb wave nondestructive testing to assess the damage in CFRP laminates caused by impact, high temperature, friction, corrosion, etc. In this study, the accuracy of nonlinear ultrasonic nondestructive testing was found to highly depend on the cycle number, output level and gain of the nonlinear ultrasonic detection system. Based on a single-factor experiment that considered the cycle number, output level, and gain of the amplifier as independent variables, a regression analysis was carried out on the fundamental wave amplitude value (A1) and second harmonic amplitude value (A2). Two response surface surrogate models were established to improve the accuracy of nonlinear Lamb wave nondestructive testing and to optimize the detection system parameters. The response surface models were verified via an analysis of variance (ANOVA), significance tests and an error statistical analysis. The results revealed the significant influence of these three factors on A1 and A2. Optimization of the response surface was achieved at eight cycles, an output level of 42 and a gain of 32 dB. Moreover, the nonlinear ultrasonic detection system achieved good operational stability, high accuracy and reliability under the above optimal parameter conditions. This approach provides scientific guidance for the accurate assessment of CFRP laminate damage.

Nonlinear ultrasonic detection for evaluating fatigue crack in metal plate

2018 ◽  
Vol 18 (3) ◽  
pp. 869-881 ◽  
Author(s):  
Rong Wang ◽  
Qi Wu ◽  
Fengming Yu ◽  
Yoji Okabe ◽  
Ke Xiong
Keyword(s):  
Fatigue Crack ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Fatigue Cracks ◽  
Crack Model ◽  
Monitoring Method ◽  
Cycle Number ◽  
Structural Health ◽  
Nonlinear Ultrasonic

In engineering structures, metal materials always endure fatigue cracks under long-term service. There has been a demand for developing a structural health monitoring method to evaluate micro-sized fatigue cracks, as cracking is considered as a precursor to structural failure. However, conventional linear-ultrasound-based technology is not sensitive to crack when it is barely visible in a metal medium. In this article, we present a nonlinear ultrasonic technology based on crack–wave interaction to investigate the growth of a fatigue crack. A breathing-crack model with a plastic zone around it was precisely established to reveal the change in the Lamb wave. The relative nonlinear parameter calculated from the fundamental and harmonic components of the Lamb wave showed linearly increasing with the growth of the fatigue crack. The relative nonlinearity was related to ultrasonic parameters, such as the cycle number and the excited frequency of the tone-burst signal. In addition, it was also related to the angle between the sensor and the crack rather than their distance. A set of experiments were conducted, demonstrating that the increasing trend of ultrasonic nonlinearity fits very well to the finite element analysis results. In conclusion, the nonlinear ultrasonic method that can be applied to the detection of micro fatigue cracks in metal plates is an effective structural health monitoring technique.

scholarly journals Impact Damage Detection in Patch-Repaired CFRP Laminates Using Nonlinear Lamb Waves

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 219
Author(s):  
Zhenhua Yin ◽  
Cheng Li ◽  
Ying Tie ◽  
Yuechen Duan
Keyword(s):  
Lamb Wave ◽  
Lamb Waves ◽  
Detection System ◽  
Impact Damage ◽  
Impact Resistance ◽  
Numerical Procedure ◽  
Low Velocity Impact ◽  
Patch Repair ◽  
Low Velocity ◽  
Cfrp Laminates

Carbon fiber-reinforced polymer (CFRP) laminates, a key composite material, are widely used in aircraft structures and are susceptible to low-velocity impact (LVI) damage from bird strikes, lightning strikes, hail impacts and other situations. Therefore, finding a method that repairs the damaged structure and detects the effect of these repairs under LVI is a very important goal. In this work, the repair effect of LVI damage in CFRP laminates repaired with patches of various sizes is investigated via experimental and numerical nonlinear Lamb wave analyses. An integrated numerical procedure that combines LVI with nonlinear Lamb wave detection is developed to predict the nonlinear Lamb wave behavior in LVI-damaged patch-repaired CFRP laminates. The CFRP laminate damage in the nonlinear Lamb wave simulation is evaluated based on relative acoustic nonlinearity parameters (RANPs). As a result, the integrated numerical procedure is validated with drop-weight impact tests and RAM-5000 SNAP nonlinear ultrasonic detection system. An optimal patch design is established via interpolation to optimize the absorbed energy, delamination surface area, second RANP and third RANP with different patch repair sizes. These parameters exhibit consistent curve fitting trends, indicating that they can be used as important indicators of impact damage. The optimal circular patch design with a radius of 2.5 r has better impact resistance behavior and repair performance.

scholarly journals Optical visualization of leaky Lamb wave and its application in nondestructive testing

2017 ◽  
Author(s):  
Zhiwu An ◽  
Zhongtao Hu ◽  
Jie Mao ◽  
Guoxuan Lian ◽  
Xiaomin Wang
Keyword(s):  
Nondestructive Testing ◽  
Lamb Wave ◽  
Optical Visualization ◽  
Leaky Lamb Wave

Denoising and Defect Diagnosis of Material Ultrasonic Detection signal Based on Best Wavelet Packet Base

2012 ◽  
Vol 239-240 ◽  
pp. 52-56
Author(s):  
Xiao Ling Yan ◽  
Shi Yun Dong ◽  
Wang Long Wang ◽  
Bin Shi Xu
Keyword(s):  
Nondestructive Testing ◽  
Wavelet Packet ◽  
Steel Specimen ◽  
Ultrasonic Signal ◽  
Defect Size ◽  
New Method ◽  
Accurate Information ◽  
Ultrasonic Nondestructive Testing ◽  
Internal Defect ◽  
Ultrasonic Detection

The use of ultrasonic nondestructive testing of material internal defect，ultrasonic signal acquired at actual working spot usually includes large amount of noise.Extraction of the defect characteristic information will be influeced greatly if the ultrasonic signal is not effectively denoised. A new method based on best wavelet packet base is present to denoise and detect the ultrasonic signal. The superiority of new method is verified by simulation examples. Experiment of processing ultrasonic signal which comes from the 45 Steel specimen with flaws has been implemented. The accurate information that characterizes of defect size,location can be extracted from the processing result, the results show that the new method based on best wavelet packet base is in favor of enhancing the degree of accuracy for quantitatively analyzing the defect inside the material.

Design of the Control Circuit Based on FPGA for the Underwater Trash Detection System

2011 ◽  
Vol 201-203 ◽  
pp. 2414-2418
Author(s):  
Guo Ku Zhao ◽  
Qi Zhang
Keyword(s):  
High Speed ◽  
Analog Circuit ◽  
Detection System ◽  
Control Circuit ◽  
Echo Signal ◽  
Process Data ◽  
Ultrasonic Detection ◽  
Distance Information ◽  
High Speed Data ◽  
System Power

For the detection of underwater trashes, the ultrasonic detection system is a necessary deceive. In the traditional ultrasonic detection system, echo signal is generally processed by analog circuit, and only the distance information is obtained. In order to determine the distance and material of target, the amplitude of echo wave also need to be extracted, and FPGA is employed to control high-speed AD and process data. The design of control circuit based on FPGA is presented here. The control circuit includes modules of clock, high-speed data processing, communication and transmitting control. On the basis of the system design, simulation, implementation, the system experiments are completed. The results show: the functions of the control circuit based on FPGA are implemented correctly, but the system power consumption needs to be reduced more.

The paste filling pipe flow on-line detection system based on ultrasonic

2014 ◽  
Vol 11 (4) ◽  
pp. 397-402 ◽  
Author(s):  
Guimei Wang ◽  
Shuai Zhang
Keyword(s):  
Pipe Flow ◽  
Detection System ◽  
Mining Industry ◽  
Line Detection ◽  
Filling Material ◽  
Ultrasonic Detection ◽  
Detection Technology ◽  
On Line ◽  
Working Principle ◽  
Ultrasonic Detection Technology

Recently, filling mining is becoming more and more important in the mining industry and has been used widely. In order to better control the process of paste filling mining and acquire the accurate amount of filling material used, and to reduce the waste of paste filling material, we should detect in real time the paste flow in the pipe during the process of filling. This paper introduces in detail the basic principle of ultrasonic detection technology and the hardware composition and working principle of the on-line detection system. The author uses the theory of unascertained error analysis of detecting data and implements ultrasonic detection technology to realize on-line detection of paste filling pipe flow.

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