Volume or inside heating thermography using electromagnetic excitation for advanced composite materials

He, Yunze; Yang, Ruiyue; Zhang, Hong; Zhou, Di; Wang, Gang

doi:10.1016/j.ijthermalsci.2016.08.007

Cited by 64 publications

(20 citation statements)

References 34 publications

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“…Various noncontact SHM sensors have been suggested including laser based, infrared thermography, and microwave, for SHM damage detection like cracks and blade delamination . Infrared thermography is based on the common knowledge that working components increase their temperature as they start to malfunction.…”

Section: State Of the Art In Classical Contact And Noncontact Sensorsmentioning

confidence: 99%

“…In, Yang et al and He et al, a number of noncontact SHM are suggested including laser based, thermography, and microwave, for identification of cracks and blade delamination. The methods however are mainly laboratory based and vary significantly during testing and design of wind turbines blades.…”

Section: State Of the Art In Classical Contact And Noncontact Sensorsmentioning

confidence: 99%

“…For level 1 identification, contact sensors have historically played a major role . Noncontact sensors, especially when designing wind turbines and certifying them, their applications may have been limited to mainly in laboratory situations or for wind turbines in parked positions . No single work that particularly considers ground‐based radar (GBR) may not be present yet.…”

Section: Introductionmentioning

confidence: 99%

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A review of ground‐based radar as a noncontact sensor for structural health monitoring of in‐field wind turbines blades

et al. 2018

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Ground‐based radar (GBR) are increasingly being used either as a vibration‐based or as guided‐wave‐based structural health monitoring (SHM) sensors for monitoring of wind turbines blades. Despite various studies mentioning the use of radar as transducer for SHM, a singular exclusive review of GBR in blade monitoring may have been lacking. Various studies undertaken for SHM of blades using GBR have largely been laboratory‐based or with actual wind turbines in parked positions or focussed on the extraction of only specific condition parameters like frequency or deflection with no validation with actual expected operating data. The present study provides quantitative data that relates in‐field monitoring of wind turbines by GBR with actual design operating data. As such it helps the monitoring of blades during design, testing, and operation. Further, it supports the determination of fatigue damage for in‐field wind turbine blades especially those made of composite materials by way of condition parameters residuals and deflection. A review of the two GBR–SHM approaches is thus undertaken. Additionally, a case study demonstrating its practical use as a vibration‐based noncontact SHM sensors is also provided. The study contributes to the monitoring of blades during design, testing, and operation. Further, it supports the determination of damage detection for in‐field wind turbine blades within a 3‐tier SHM framework especially those made of composite materials by way of condition parameter residuals of extracted modal frequencies and deflection.

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Section: State Of the Art In Classical Contact And Noncontact Sensorsmentioning

confidence: 99%

Section: State Of the Art In Classical Contact And Noncontact Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A review of ground‐based radar as a noncontact sensor for structural health monitoring of in‐field wind turbines blades

et al. 2018

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“…Imaging technique can help us obtain the shape of defects and is more intuitive than traditional nondestructive testing methods. In recent years, some eddy current (EC) imaging methods are investigated to detect and evaluate the defects in metal structures, such as C-scan imaging, magnetooptical imaging [44], induction thermography [45][46][47], and electromagnetic induction tomography (EMT) [48]. In this section, the defects are evaluated based on the Cscan imaging.…”

Section: C-scan-based Metal Loss Imagingmentioning

confidence: 99%

Pulsed Eddy Current Nondestructive Testing for Defect Evaluation and Imaging of Automotive Lightweight Alloy Materials

Zhang

2018

Journal of Sensors

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Rapid and accurate damage detection of magnesium-aluminum alloy, which is an important material for automotive lightweight, is of great significance. Pulsed eddy current (PEC) is an effective electromagnetic nondestructive testing and evaluation (NDT&E) technique for metal materials. Metal loss evaluation and imaging are one of the most important steps in quality control and maintenance of key components of automobiles. A PEC method based on a rectangular excitation coil and an axial parallel pickup coil is proposed and investigated for the purpose of metal loss evaluation and imaging. Metal loss type of defects with different sections is designed and detected using line scanning technique and C-scan imaging in two scanning directions. Experimental results have illustrated that metal loss depth can be estimated effectively by the peak amplitude of PEC A-scan response. Then, the quantification information of metal loss depth is preliminarily obtained based on the linear fitting equation. Consequently, metal loss evaluation is realized by line scanning peak waves and C-scan pseudo 3D images. At last, the sensitivity comparison shows that the metal loss can be detected in both directions. The proposed method is an effective approach to evaluate the image surface-breaking metal loss in automotive lightweight alloy materials.

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“…Since imaging techniques can obtain the shape of a defect, they are more intuitive than ordinary A-scan and B-scan techniques. For the last few years, some eddy current testing was investigated and combined with imaging techniques to detect and evaluate defects, such as PEC C-scan imaging [5,40], electromagnetic tomography (EMT) [41,42], eddy current thermography [43], and magneto-optical imaging [44][45][46]. The C-scan imaging technique has several advantages such as a low cost, easy control, and automatization.…”

Section: Problem Statementmentioning

confidence: 99%

Shape Mapping Detection of Electric Vehicle Alloy Defects Based on Pulsed Eddy Current Rectangular Sensors

Zhang

Dong

et al. 2018

Applied Sciences

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In this paper, we investigate pulsed eddy current (PEC) testing based on a rectangular sensor for the purpose of defect shape mapping in electric vehicle lightweight alloy material. Different dimensional defects were machined on the 3003 aluminum alloy and detected using the A-scan technique and C-scan imaging in two scanning directions. The experiment results indicated that defect plane shape could be preliminarily obtained and length and width could be estimated based upon C-scan contour images. Consequently, the comparison of results between the two directions showed that the C-scan identification in the direction of magnetic flux was better than in the direction of the exciting current. Finally, subsurface defects and irregular defects were detected to verify the performance of shape mapping as a recommended approach. The conclusion drawn indicates that the proposed method, based on PEC rectangular sensors, is an effective approach in reconstructing a defect’s shape.

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Volume or inside heating thermography using electromagnetic excitation for advanced composite materials

Cited by 64 publications

References 34 publications

A review of ground‐based radar as a noncontact sensor for structural health monitoring of in‐field wind turbines blades

A review of ground‐based radar as a noncontact sensor for structural health monitoring of in‐field wind turbines blades

Pulsed Eddy Current Nondestructive Testing for Defect Evaluation and Imaging of Automotive Lightweight Alloy Materials

Shape Mapping Detection of Electric Vehicle Alloy Defects Based on Pulsed Eddy Current Rectangular Sensors

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