Use of line laser scanning thermography for the defect detection and evaluation of composite material

Yin, Lei; Song, Yuanjia; Yang, Zhengwei; Xie, Xing-yu

doi:10.1515/secm-2022-0007

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…That is why recently, special algorithms have been developed. For example, in the article by Li Y. and co-authors [25], a method for increasing the contrast of a thermal image with homomorphic technology was proposed. The essence of this technology is to perform a non-linear transformation of a thermal image with the result that the non-additive factors making up the image become additive to facilitate processing with increasing contrast in the frequency domain.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials

Divin,

Karpov,

Zakharov

et al. 2024

Engineering Technologies and Systems

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Introduction. Control of the presence of subsurface defects in products from composite materials is necessary for verification of products after release from production and in the process of operation. Aim of the Study. The purpose of the presented work is to estimate the parameters of subsurface defects using local laser thermography, suitable for quality control of both small objects and suspicious areas of large objects with curved surfaces. Materials and Methods. The laboratory setup on which this work was carried out includes a robotic arm, a COX CG640 thermal imager and a 3 W laser. The method was tested on a fiberglass sample with introduced delamination defect simulations located at different depths below the surface. By means of computer modeling rational parameters of thermographic control were selected, providing reliable detection of the defect at a depth of up to 3 mm under the surface of the composite sample. Results. Numerical modeling of surface temperature field induced by moving focused laser beam was carried out using COMSOL software package. It showed that laser beam with 3 W power moving at 5 mm/s provided the thermal contrast sufficient to detect the defects at the depth up to 3 mm. The obtained experimental data are in satisfactory agreement with numerical modeling both qualitatively and quantitatively. Experimental data were used to construct a regression model for determining defect depth based on the maximal thermal contrast and the time interval between heating and the contrast maximum. Discussion and Conclusion. The results obtained in this work allow us to propose a technique for detecting defects in fiberglass plastics and estimating their depth. The coefficient of determination for the obtained regression model was found to be equal to 0.95, and the mean square error of the metric was no more than 0.016 mm2. The use of a robotic arm to scan objects will make it possible to investigate objects with complex curved surfaces.

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Section: Literature Reviewmentioning

confidence: 99%

Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials

Divin,

Karpov,

Zakharov

et al. 2024

Engineering Technologies and Systems

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“…Laser line scanning thermography is an active NDT technology and its detection principle is shown in Fig. 1 [25]. The laser beam emitted by the laser transmitte passes through the prism to form a laser line.…”

Section: Analytical Calculations On Temperature Field 21 Detection Pr...mentioning

confidence: 99%

Temperature Field in Laser Line Scanning Thermography: Analytical Calculation and Experiment

Li¹,

Song²,

Yang³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The temperature field in laser line scanning thermography is investigated comprehensively in this work, including analytical calculation and experiment. Firstly, the principle of laser line scanning thermography is analyzed. On this basis, a physical laser line scanning model is proposed. Afterwards, based on Fourier transform (FT) and segregation variable method (SVM), the heat conduction differential equation in laser line scanning thermography is derived in detail. The temperature field of the composite-based coatings model with defects is simulated numerically. The results show that the laser line scanning thermography can effectively detect the defects in the model. The correctness of the analytical calculation is verified by comparing the surface temperature distribution obtained by analytical calculation and numerical simulation. Additionally, an experiment is carried out and the changeable surface temperature obtained by analytical calculation is compared with the experimental results. It shows that the error of maximum temperature obtained by analytical calculation and by experiment is 8% with high accuracy, which proves the correctness of analytical calculation and enriches the theoretical foundation of laser line scanning thermography.

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“…For the laser scanning method, Li et al [11] applied line laser scanning thermographic inspection to assess defects in composite materials, and they proposed a validated contrast enhancement method using homomorphic techniques. The complete data on the 3D morphology of the defects were obtained by sequential analysis of the thermal images of a sample of 12 defects.…”

Section: Introductionmentioning

confidence: 99%

An image fusion-based method for recovering the 3D shape of roll surface defects

Xu,

Lou

et al. 2023

Meas. Sci. Technol.

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Most of the existing studies on roll surface defects focus on qualitative detection and lack of quantitative analysis, while the commonly used methods for detecting the three-dimensional shape of small objects such as defects are stylus method, laser scanning method and structured light scanning method, but these methods are difficult to accurately measure the complex defect variations on the roll surface. In this paper, we propose a method for recovering the 3D shape of roll surface defects based on image fusion. The traditional 3D reconstruction problem is transformed into a 2D image fusion problem using a focusing method. The non-subsampled shear wave transform (NSST) is used as the base algorithm for image fusion, combined with an enhanced fusion strategy called Mm-PCNN to obtain a fully focused image. The method achieves 3D shape recovery of defects by modelling the relationship between the defect depth, the fully focused image, and the original image. To evaluate the performance of the method, experiments were carried out using data involving craters and scratches on the roll surface. The experimental results show that the proposed method effectively integrates detailed information and achieves a reconstruction error control of less than 4%, thus ensuring higher accuracy and improved noise immunity.

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Use of line laser scanning thermography for the defect detection and evaluation of composite material

Cited by 10 publications

References 19 publications

Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials

Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials

Temperature Field in Laser Line Scanning Thermography: Analytical Calculation and Experiment

An image fusion-based method for recovering the 3D shape of roll surface defects

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