Simulations and analytical models for optimization of photothermal surface crack detection

Robin Steinberger; Thomas Gruenberger; Paul O'Leary

doi:10.1117/12.421037

23 March 2001 Simulations and analytical models for optimization of photothermal surface crack detection

Robin Steinberger, Thomas Gruenberger, Paul O'Leary

Proceedings Volume 4360, Thermosense XXIII; (2001) https://doi.org/10.1117/12.421037
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Photothermal methods have proved to be applicable to the detecting of vertical surface cracks. The advantage over crack detection via ultrasonics or magnetic particle testing lies in the fact that the photothermal detection, from its concept, is contactless and can be highly automated using digital image processing techniques. One disadvantage is that the scanning rate is presently far below the level desired for on-line quality control in the steel producing industry. The large degrees of freedom (parameters) in photothermal detection, such as impinging power or temporal and spatial characteristics of the modulation of the heat source, make it difficult to find an optimum in this method. This paper presents a fundamental research project which was started for theoretical investigation of the photothermal detection technique to enable the identification of optimum configuration and parameters. Finite element simulations and analytical solutions were employed for better understanding of the influence of the free parameters on the heat flow and the observable temperature signal around cracks. This paper concentrates especially on results found for impulse thermography and presents a model which can be used for optimizing speed and detectivity of the method.

Citation Download Citation

Robin Steinberger, Thomas Gruenberger, and Paul O'Leary "Simulations and analytical models for optimization of photothermal surface crack detection", Proc. SPIE 4360, Thermosense XXIII, (23 March 2001); https://doi.org/10.1117/12.421037

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