Skip to main content

Abstract

This paper discusses the use of polynomial surface fitting techniques for the infrared thermography (IRT) evaluation of the graphite epoxy composite laminate. The composite laminate had 12 inserted Teflon films in different layers so as to simulate delamination defects. Based on the initial IRT inspection, it was determined that the raw IR images were not able to detect all 12 defects. In order to improve the detection capability and remove the heating pattern, a fitted heating pattern was generated by using the polynomial surface fitting method. Then, this pattern was deleted by applying the subtract function. It was demonstrated that this applied method not only removed the non-uniform heating effect, but also preserved all defect information and enhanced the thermal contrast of the raw IR images.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lubin G, Peters ST (1998) Handbook of composites. Chapman & Hall, London

    Google Scholar 

  2. Brady RP, Kulkarni MR, Chu TP, Russell S (1999) Thermal image analysis for the in-situ NDE of composites. J Compos Technol Res 21(3):141–146

    Article  Google Scholar 

  3. Chu, TP, Poudel, A, Filip, P (2012) C/C composite brake disk non-destructive evaluation by IR thermography. In: Proceedings conference on thermosense – thermal infrared applications XXXIV, SPIE, Baltimore, Maryland, USA. http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1385503

  4. Chu TP, Don J, Pan Y, Poudel A (2012) Defect characterization in commercial carbon-carbon composites. World J Eng 9(6):481–486

    Article  Google Scholar 

  5. Pan YP, Miller RA, Chu TP, Filip P (2009) Thermal diffusivity mapping of carbon/carbon composites. Mater Eval 67(5):540–546

    Google Scholar 

  6. Hung MYY, Chen YS, Ng SP, Shepard SM, Hou Y, Lhota JR (2007) Review and comparison of shearography and pulsed thermography for adhesive bond evaluation. Opt Eng 46(5):051007

    Article  Google Scholar 

  7. Shepard SM (2001) Advances in pulsed thermography In: Proceedings Thermosense XXIII Conference, SPIE, Orlando, FL, pp. 511–515. http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=912247

  8. Shepard SM, Lhota JR, Ahmed T, Rubadeux BA and Wang D (2001) Quantification and automation of pulsed thermographic NDE. In: Proceedings of nondestructive evaluation of materials and composites V conference, SPIE, Newport Beach, CA, pp 73–78. http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=908620

  9. Shepard SM, Hou J, Lhota JR, Golden JM (2007) Automated processing of thermographic derivatives for quality assurance. Opt Eng 46(5):051008

    Article  Google Scholar 

  10. Maldague X (2001) Theory and practice of infrared technology for nondestructive testing. Wiley, New York

    Google Scholar 

  11. Vollmer M, Mollmann K-P (2010) Infrared thermal imaging: fundamentals: research and applications. Wiley-VCH, Weinheim

    Book  Google Scholar 

  12. Cramer KE, Winfree WP (2011) Fixed eigenvector analysis of thermographic NDE data. In: Safai M, Brown JR (eds) Thermosense: thermal infrared applications Xxxiii. SPIE, Bellingham

    Google Scholar 

  13. Luo B, Liebenberg B, Raymont J, Santospirito SP (2011) Automatic thermographic image defect detection of composites. In: Safai M, Brown JR (eds) Thermosense: thermal infrared applications Xxxiii. SPIE, Bellingham

    Google Scholar 

  14. Manohar A, di Scalea FL (2011) Wavelet aided multivariate outlier analysis to enhance defect contrast in thermal images. In: Proceedings of conference on sensors and smart structures technologies for civil, mechanical, and aerospace systems, WILEY, SEM Conference, Uncasville, Connecticut. http://onlinelibrary.wiley.com/doi/10.1111/j.1747-1567.2011.00771.x/abstract

  15. D’Orazio T, Leo M, Guaragnella C, Distante A (2007) Analysis of image sequences for defect detection in composite materials. In: Advanced concepts for intelligent vision systems, Proceedings, Springer, Delft, The Netherlands 4678, pp 855–864. http://link.springer.com/chapter/10.1007/978-3-540-74607-2_78

    Google Scholar 

  16. Benitez H, Ibarra-Castanedo C, Bendada A, Maldague X, Loaiza H, Caicedo E (2007) Modified differential absolute contrast using thermal quadrupoles for the nondestructive testing of finite thickness specimens by infrared thermography. In: 2006 Canadian conference on electrical and computer engineering, Memphis, TN, pp 4

    Google Scholar 

  17. Li S, Chu TP (2013) The application of polynomial fitting techniques to IRT inspections. In: Proceedings of ASNT 22nd research symposium, ASNT, 2013

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shanglei Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Society for Experimental Mechanics, Inc.

About this paper

Cite this paper

Li, S., Poudel, A., Chu, T.P. (2014). Polynomial Fitting Techniques for IRT Inspection. In: Rossi, M., et al. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-00876-9_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-00876-9_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00875-2

  • Online ISBN: 978-3-319-00876-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics