09. Divin A.G., Karpov S.V., Zakharov Yu.A., Karpova N.A., Samodurov A.А., Golovin D.Yu., et al. Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials

DOI: 10.15507/2658-4123.034.202401.145-163

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

Aleksandr G. Divin
Dr.Sci. (Engr.), Professor of the Chair of Mechatronics and Technological Measurements, Tambov State Technical University (106 Sovetskaya St., Tambov 392000, Russian Federation), Senior Researcher at the Research Institute of Nanotechnology and Nanomaterials, Derzhavin Tambov State University (33 Internatsionalnaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0000-0001-7578-0505, Researcher ID: G-5718-2017, Scopus ID: 6506701765, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey V. Karpov
Cand.Sci. (Engr.), Associate Professor of the Chair of Computer Integrated Systems in Mechanical Engineering, Tambov State Technical University (106 Sovetskaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0000-0001-8238-1537, ResearcherID: M-2341-2017, Scopus ID: 56991212400, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yuriy A. Zakharov
Postgraduate Student of the Chair of Mechatronics and Technological Measurements, Tambov State Technical University (106 Sovetskaya St., Tambov 392000, Russian Federation), Junior Researcher at the Research Institute of Nanotechnology and Nanomaterials, Derzhavin Tambov State University (33 Internatsionalnaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0009-0002-6840-4418, This email address is being protected from spambots. You need JavaScript enabled to view it.

Nataliya A. Karpova
Postgraduate Student of the Chair of Mechatronics and Technological Measurements, Tambov State Technical University (106 Sovetskaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0009-0006-5893-094X, This email address is being protected from spambots. You need JavaScript enabled to view it.

Aleksandr A. Samodurov
Cand.Sci. (Ph.-M.), Senior Researcher at the Research Institute of Nanotechnology and Nanomaterials, Derzhavin Tambov State University (33 Internatsionalnaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0000-0002-9600-8140, Researcher ID: P-7056-2014, Scopus ID: 6603455375, This email address is being protected from spambots. You need JavaScript enabled to view it.

Dmitriy Yu. Golovin
Cand. Sci. (Engr.), Senior Researcher at the Research Institute of Nanotechnology and Nanomaterials, Derzhavin Tambov State University (33 Internatsionalnaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0009-0006-8872-2121, Scopus ID: 7004150534, This email address is being protected from spambots. You need JavaScript enabled to view it.

Aleksandr I. Tyurin
Cand.Sci. (Ph.-M.), Head of the Research Institute of Nanotechnology and Nanomaterials, Derzhavin Tambov State University (33 Internatsionalnaya St., Tambov 392000, Russian Federation), ORCID: https://orcid.org/0000-0001-8020-2507, Scopus ID: 57221837737, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract
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.

Keywords: laser scanning thermography, non-destructive testing, composite materials, finite element analysis, mathematical modeling

Conflict of interest: The authors declare no conflict of interest.

Acknowledgements: The study was supported by the grant of the Russian Science Foundation № 20-19-00602 using the equipment of the Center for Collective Use of Derzhavin Tambov State University and the Center for Collective Use “Robotics” of Tambov State Technical University.

For citation: Divin A.G., Karpov S.V., Zakharov Yu.A., Karpova N.A., Samodurov A.А., Golovin D.Yu., et al. Using Laser Point Scanning Thermography for Quality Monitoring of Products Made of Composite Materials. Engineering Technologies and Systems. 2024;34(1):145‒163. https://doi.org/10.15507/2658-4123.034.202401.145-163

Authors contribution:
A. G. Divin ‒ general idea of the study, development of the concept of hardware, data processing techniques.
S. V. Karpov – numerical modeling of temperature fields.
Yu. A. Zakharov – development of an algorithm and software for recording and processing temperature values obtained using a thermal imaging camera.
N. А. Karpova – assembly of a laboratory installation, conducting experiments.
A. A. Samodurov ‒ development of algorithms for data registration and measurement processing.
D. Yu. Golovin – regression analysis.
A. I. Tyurin ‒ development of measurement methods.

All authors have read and approved the final manuscript.

Submitted 29.10.2023; revised 02.11.2023;
accepted 17.11.2023

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