A numerical approach for testing and evaluation of mild steel material by thermal wave imaging

Ravibabu Mulaveesala; Geetika Dua; Juned A. Siddiqui; Ghali Venkata Subbarao; Amarnath Muniyappa

doi:10.1117/12.2176962

30 June 2015 A numerical approach for testing and evaluation of mild steel material by thermal wave imaging

Ravibabu Mulaveesala; Geetika Dua; Juned A. Siddiqui; Ghali Venkata Subbarao; Amarnath Muniyappa

Author Affiliations +

Proceedings Volume 9485, Thermosense: Thermal Infrared Applications XXXVII; 948510 (2015) https://doi.org/10.1117/12.2176962
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, Maryland, United States

Abstract

Among the widely used active infrared non-destructive testing and evaluation methods, coded thermal wave imaging modalities have proved to be an efficient testing and evaluation methods for characterization of various solid materials. These techniques makes use of relatively low peak power heat sources in a moderate time compared with the conventional pulsed based and sinusoidal modulated thermographic approaches respectively. This present work introduces a 11-bit Barker coded thermal wave imaging approach for characterization of mild steel sample having flat bottom holes as defects. Capabilities of the proposed approach has been studied on a mild steel sample containing flat bottom holes as sub-surface defects located at different depths and it has been modeled using a finite element method. Results show the defect detection capabilities of the proposed 11-bit Barker coded excitation scheme as a promising testing and evaluation method to detect the subsurface defects.

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Ravibabu Mulaveesala, Ravibabu Mulaveesala, Geetika Dua, Geetika Dua, Juned A. Siddiqui, Juned A. Siddiqui, Ghali Venkata Subbarao, Ghali Venkata Subbarao, Amarnath Muniyappa, Amarnath Muniyappa, } "A numerical approach for testing and evaluation of mild steel material by thermal wave imaging", Proc. SPIE 9485, Thermosense: Thermal Infrared Applications XXXVII, 948510 (30 June 2015); doi: 10.1117/12.2176962; https://doi.org/10.1117/12.2176962

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