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COBEM 2021
26th International Congress of Mechanical Engineering
QUALITY INSPECTION USING ACTIVE INFRARED THERMOGRAPHY WITH COMPUTATIONAL VISION AID USED IN COMPOSITE MATERIAL OF WIND TURBINE BLADE
Submission Author:
JÚLIO CÉSAR CAPISTRANO ESTÁCIO , CE , Brazil
Co-Authors:
JÚLIO CÉSAR CAPISTRANO ESTÁCIO, DARLAN ALMEIDA BARROSO, Marcello Reis, Jéssyca Almeida Bessa, Auzuir Ripardo Alexandria
Presenter: JÚLIO CÉSAR CAPISTRANO ESTÁCIO
doi://10.26678/ABCM.COBEM2021.COB2021-2263
Abstract
The use of renewable energy is a global trend due to the warming of the planet with the burning of fossils fuels. The renewable sources of energy come as alternatives that do not pollute the atmospheric air avoiding the emission of gases that causes the greenhouse effect, among other gases which are harmful to the environment. Infrared thermography has been gaining importance among the non-destructive tests used in the quality control of wind turbine blades (Wind Turbine Blades - WTB). Composite materials are being used a lot because they allow large projects and good lightness, in addition to excellent mechanical resistance properties. However, because they are anisotropic, the detection of internal defects becomes a challenge. This work aims to use active pulsed thermography methods with the aid of a computer vision system to identify defects in samples of the Fiberglass Reinforced Polymer (GFRP) composite used in the manufacture of wind turbine blades. Samples prepared with considerable thickness are used in an experimental test where an external heat source is positioned to perform the capture of the images with an infrared camera. Algorithms implemented in Python programming language will be used with the aid of OpenCV library routines. A mathematical model based on the transient heat conduction developed using the COMSOL Multiphysics software and the experimental results of the test will be useful for the validation of the computer vision system implemented. From the thermal contrast versus time graphs, the images where the thermal contrast is maximum are identified. Thus, thresholding techniques are applied to the images obtained, which will make it possible to accurately locate internal discontinuities in the samples. Finally, a recognition and a quantification of the defective areas in relation to the areas without defects are performed. In this work, we verify the functionality of digital image processing techniques and computer vision systems applied in pulsed active thermography for composite material and the performance of the techniques employed.
Keywords
Infrared thermography, wind turbine blades, Computer Vision, thermography imaging, quality inspection
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