By Topic

Notice of Retraction
Numerical simulation and experiment for defect detection of composites by Thermal Wave NDT

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Zheng Wei Yang ; 203 office, Xi'an Research Inst. of Hi-Tech, Hongqing Town, China, 710025 ; Wei Zhang ; Gan Tian ; Yuan Jia Song
more authors

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Since the use of advanced composite materials continues to increase in the area of aviation and navigation, the need for a quantitative, rapid, in-service inspection technology has become a critical concern throughout the industry and practice. Thermal Wave Nondestructive Testing (TW-NDT) technology, which has proved to be an effective method, was used to detect defects in composite materials of missile motor in this paper. Based on numerical analysis, the optimum parameters of heat flux and heating time for the best defect detectability was worked out theoretically. And also the factors influencing the testing sensitivity were further studied, including the defect size, depth, thickness and thermal diffusion coefficient, etc. The results show that TW NDT can identify the defect depth, size and position rapidly and effectively, and the bigger, nearer-surface and thicker of the defect, the easier to be inspected by this method. The most important factors which affect the sensitivity of TW inspection are the defect depth and heating parameters. Finally, experiment for a glass-fiber composites sample with three different diameters at different depths was investigated to verify the conclusions of numerical analysis. And image enhancement and segmentation methods were used to reduce noise and improve image contrast, which help to achieve defect recognition.

Published in:

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on  (Volume:5 )

Date of Conference:

16-18 April 2010