Hole-Edge Corrosion Expansion Monitoring Based on Lamb Wave

Wang, Xiangyu; Dai, Wei; Xu, Duo; Zhang, Weifang; Ran, Yunmeng; Wang, Rongqiao

doi:10.3390/met10111469

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…The excitation signal is a five-peak sine tone burst, and the expression is expressed as follows [ 31 ]:

where A is the signal amplitude, N is the number of crests,

is the central frequency of the signal, and

is the Heaviside step function. The sampling rate is 24 MSPS, and the sampling length is 10,000 points.…”

Section: Methodsmentioning

confidence: 99%

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

Zhang

Han

et al. 2022

Materials

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Aluminum alloy is widely used in aerospace structures. However, it often suffers from a harsh corrosion environment, resulting in different damage such as pitting corrosion, which leads to a reduction in the service life of aerospace structures. In the present study, the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm was manufactured using hydrofluoric (HF) acid on a 2024-T3 aluminum alloy plate (400 mm × 400 mm × 2 mm) to simulate the corrosion state of equipment. A signal acquisition system with a square sensor network of 12 piezoelectric transducers (PZTs) was established. The sensor path weighting reconstruction algorithm for the probabilistic inspection of defects (SPW-RAPID) is proposed based on corrosion damage characteristic parameters including signal correlation coefficient (SDC), root mean squared error (RMSE), and signal energy damage index (E1) to explore the monitoring efficacy of pitting corrosion. The sensor path weight w, which is the product of value coefficient a and impact factor l, is established to modify the corrosion damage characteristic parameters. The results indicate that the SPW-RAPID algorithm can improve the accuracy and clarity of image reconstruction results based on SDC, RMSE and E1, which can locate the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm, and the positioning error is controlled within 0.1 mm. The research work may provide an available way to monitor tiny corrosion damage on an aluminum alloy structure.

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“…The excitation signal is a five-peak sine tone burst, and the expression is expressed as follows [ 31 ]:

where A is the signal amplitude, N is the number of crests,

is the central frequency of the signal, and

is the Heaviside step function. The sampling rate is 24 MSPS, and the sampling length is 10,000 points.…”

Section: Methodsmentioning

confidence: 99%

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

Zhang

Han

et al. 2022

Materials

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“…Corrosion is a severe technical issue for the metal industries [130,131]. Various methods have been developed to prevent the erosion of metal based materials such as protective coatings, corrosion inhibitors, and better-quality anti-corrosion methods [132][133][134].…”

Section: Significance Of Conjugated Polymer/graphene Oxide Nanocompositesmentioning

confidence: 99%

Conjugated Polymer/Graphene Oxide Nanocomposites—State-of-the-Art

Kausar

2021

J. Compos. Sci.

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Graphene oxide is an imperative modified form of graphene. Similar to graphene, graphene oxide has gained vast interest for the myriad of industrial applications. Conjugated polymers or conducting polymers are well known organic materials having conducting backbone. These polymers have semiconducting nature due to π-conjugation along the main chain. Doping and modification have been used to enhance the electrical conductivity of the conjugated polymers. The nanocomposites of the conjugated polymers have been reported with the nanocarbon nanofillers including graphene oxide. This review essentially presents the structure, properties, and advancements in the field of conducting polymer/graphene oxide nanocomposites. The facile synthesis, processability, and physical properties of the polymer/graphene oxide nanocomposites have been discussed. The conjugated polymer/graphene oxide nanocomposites have essential significance for the supercapacitors, solar cells, and anti-corrosion materials. Nevertheless, the further advanced properties and technical applications of the conjugated polymer/graphene oxide nanocomposites need to be explored to overcome the challenges related to the high performance.

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“…Borate et al [ 16 ] proposed a data-driven structural health monitoring method for the in situ assessment of the localization and extent of damage. Wang et al [ 17 ] used an active sensing method based on Lamb waves and an improved sensor network to detect corrosion expansion at the hole edge. Some scholars have noticed the damage localization method without a baseline.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

Liu

et al. 2022

Sensors

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The identification of damage based on Lamb waves can hardly avoid obtaining the reference signal under healthy conditions. A non-reference damage localization (NRDL) method is proposed in this paper. The NRDL method is established by the improved two-arrival-time difference method (2/ATDM) and BFGS method. The layout principles of the piezoelectric ceramic lead zirconate titanate (PZT) transducer array in the specimen are proposed. In contrast to existing methods, the damage outside the array in the specimen is identified based on the NRDL. The full-area damage location in the specimen is realized. Furthermore, the optimization of the excitation signal center frequency and transducer array layout is carried out. The damage location accuracy is greatly improved.

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Hole-Edge Corrosion Expansion Monitoring Based on Lamb Wave

Cited by 6 publications

References 33 publications

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

Conjugated Polymer/Graphene Oxide Nanocomposites—State-of-the-Art

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

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