Estimation of defect parameters in quasi-isotropic composite materials using infrared thermography

Arun Manohar; Francesco Lanza di Scalea

doi:10.1117/12.2009779

19 April 2013 Estimation of defect parameters in quasi-isotropic composite materials using infrared thermography

Arun Manohar, Francesco Lanza di Scalea

Proceedings Volume 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013; 86922I (2013) https://doi.org/10.1117/12.2009779
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

Abstract

Estimation of defect size and depth in composite structures is a relevant problem as the aerospace and wind energy industries are increasingly using composites. The determination of defect depth and size is important in order to perform repairs and assess the integrity of the structure. The problem has been previously studied using simple 1D heat conduction models. Unfortunately, 1D heat conduction based models are generally inadequate in predicting heat flow around defects, especially in composites. In this study, a novel heat conduction model is proposed to model heat flow around defects accounting for 3D heat conduction in quasi-isotropic anisotropic materials. The proposed approach is used to quantitatively determine the defect depth and size. The validity of the model is established using experiments performed on a quasi-isotropic CFRP specimen with rectangular flat-bottom defects present at different depths.

Citation Download Citation

Arun Manohar and Francesco Lanza di Scalea "Estimation of defect parameters in quasi-isotropic composite materials using infrared thermography", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86922I (19 April 2013); https://doi.org/10.1117/12.2009779

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available