Genetic algorithm for flaw characterization based on thermographic inspection data

Nikolas Rajic

doi:10.1117/12.459602

15 March 2002 Genetic algorithm for flaw characterization based on thermographic inspection data

Nikolas Rajic

Proceedings Volume 4710, Thermosense XXIV; (2002) https://doi.org/10.1117/12.459602
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A genetic algorithm is applied to the task of aw characterization based on active thermal inspection data. Experimental observations pertaining to test samples with axisymmetric inclusion aws are used to validate the approach, with encouraging results. Errors in identification are discussed and can, at least in part, be attributed to the use of a relatively primitive fitness function formulation and the assumption in the heat-transfer model of negligible heat-loss through convection and radiation. The general approach however appears sound and can be modified to include important heat-transfer mechanisms and alternative fitness function formulations.

Citation Download Citation

Nikolas Rajic "Genetic algorithm for flaw characterization based on thermographic inspection data", Proc. SPIE 4710, Thermosense XXIV, (15 March 2002); https://doi.org/10.1117/12.459602

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