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EFFECTIVENESS OF THE TECHNOLOGY OF AUTOMATED EDDY CURRENT FLAW DETECTION WITH ARRAY PROBE.

Title: EFFECTIVENESS OF THE TECHNOLOGY OF AUTOMATED EDDY CURRENT FLAW DETECTION WITH ARRAY PROBE.
Authors: Lysenko, Iu. Yu.; Kuts, Yu. V.; Mirchev, Y.; Levchenko, O. E.; Glabets, S. M.
Source: Paton Welding Journal; Nov2024, Issue 11, p30-35, 6p
Subject Terms: Eddy current testing; Matrix converters; Military supplies; Signal processing; Aeronautics equipment
Abstract: The effectiveness of application of matrix converter method at eddy current testing (ECT) is studied in the work. Advantages of eddy current matrix application are analyzed, which include improvement of sensitivity to small defects, shortening of the total control time and improvement of the probability of detection of various types of defects. To evaluate their effectiveness, a dimensionless coefficient is proposed, which takes into account the inspection time, the reliability of defect detection, and the sensitivity to defects of a certain size. Experimental studies on specimens with artificially induced defects of different dimensions, types and orientation confirmed the rationality of application of this coefficient for testing parameter optimization, in order to improve defect detection in structural elements. The influence of various factors, such as condition of the surface, sensor configuration in the matrix and verification parameters on the productivity of ECT hardware and software with matrix converters was additionally analyzed. Obtained results will promote better understanding of the possibilities and limitations of matrix application in ECT of the components of transport, aviation and defense equipment. It will allow optimizing the strategies of checking the tested products, improving the reliability of defect detection and general maintenance practices in many industries. [ABSTRACT FROM AUTHOR]
: Copyright of Paton Welding Journal is the property of International Association Welding (Paton Publishing House) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index