A self-propelled thermal flaw detector has been developed for testing large-sized flat parts by means of thermal scanning that provides higher efficiency and test performance than conventional thermal testing scheme over individual zones. The flaw detector is designed to detect delaminations, impact damage, and foreign inclusions in composite materials and can be used to test for corrosion in metal shells, providing continuous monitoring with a performance of up to 20 m2/h.

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The robotic equipment for and the technique of combined thermal nondestructive testing (NDT) of large-sized products by zones with subsequent data synthesis are described. The effectiveness of the combination of two methods, infrared and ultrasonic thermographic testing, is shown by the example of the developed complex-shaped reference sample with 18 simulators of production and operational defects. The developed algorithms for the synthesis of test results, including spatial “matching” of a set of thermograms and automated flaw detection and defect characterization with the use of neural networks have illustrated the effectiveness of the proposed approach for practical application.

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