The presented work concerns identifying various defects in glass fiber/polypropylene (glass/PP) composites parts.
Comprehensive comparison between two Non Destructive Evaluation (NDE) techniques, namely X-ray Computed Tomography (X-CT) and ultrasonic C-scan techniques are presented. Artificial defects of different shapes, sizes, and materials were embedded in a glass/PP panel comprising of eighty (80) layers to assess the capabilities of NDE
systems and to compare the detection sensitivities. The X-CT technique provided a volumetric map through the thickness of the specimen, which resulted in detecting the size and the shape of the defects. Fiber orientation and misalignment were successfully identified using this technique. However, the X-CT technique was not able to identify objects with relatively close material densities. Similarly, ultrasonic pulse-echo C-scan could not map all the
embedded artificial defects. However, the through transmission Ultra Sonic (UT) technique showed the capability to identify the location and shape of the defects in glass fiber reinforced thermoplastic composite. The defects size was overestimated by the through transmission technique and fiber related defects could not be detected. The ultrasonic
techniques effectively detected delaminations and porosity, while X-CT was not effective in detecting these.
1. Haibin Ning, Selvum Pillay, and Uday K. Vaidya, Design and development of thermoplastic composite
roof door for mass transit bus. Materials & Design, April, 2009. 30: p. 983-991.
2. Carrillo J. G, et al., Ballistic performance of thermoplastic composite laminates made from aramid woven fabric and polypropylene matrix. Polymer Testing, 2012. 31(4): p. 512-519.
3. Anahi Pereira da Costa, E.C.B., Michelle Leali Costa, Nilson Eiji Narita, José Ricardo Tarpani, A Review of Welding Technologies for Thermoplastic Composites in Aerospace Applications. Journal of Aerospace
Technology & Management, 2012. 4(3): p. 255-265.
4. Chung, D.D.L., Reviwe: Materials for viberation damping. Journal of materials science, 2001. 36: p. 5733-
5737.
5. Akonda, M.H., C.A. Lawrence, and B.M. Weager, Recycled carbon fibre-reinforced polypropylene
thermoplastic composites. Composites Part A: Applied Science and Manufacturing, 2012. 43(1): p. 79-86.
6. Theodoros H., Efstratios B, and Nicolaos G. T., Application of Ultrasonic C-Scan Techniques for Tracing Defects in Laminated Composite Materials. Journal of Mechanical Engineering, 2011. 57: p. 192-203.
7. T. Khan, et al., Novel Damage Diagnosis Algorithms for Aerospace Nondestructive Testing Data Using Ultrasonic Testing Technique, in ASNT 23rd Research Symposium, ASNT, Editor. March, 2014:
Minneapolis,MN ,USA. p. 67-71.
8. Chu, T.P., A. Poudel, and P. Filip. C/C Composite Brake Disk Non-Destructive Evaluation by IR Thermography. in Conference on Thermosense - Thermal Infrared Applications XXXIV. 2012. Baltimore, MD.
9. Chu, T.P., et al., Defect characterization in commercial Carbon-Carbon composites World Journal of Engineering, 2012. 9(6): p. 481-486.
10. Poudel, A. and T.P. Chu, Intelligent Nondestructive Testing Expert System for Aircraft Carbon/Carbon Composite Brakes Using Infrared Thermography and Air-coupled Ultrasound. Materials Evaluation, 2012. 70(10): p. 1219-1229.
11. Poudel, A., J. Strycek, and T.P. Chu, Air-Coupled Ultrasonic Testing of Carbon/Carbon Composite
Aircraft Brake Disks. Materials Evaluation, 2013. 71(8): p. 987-994.
12. Poudel, A., et al. Porosity Measurement in Carbon Fiber Epoxy Laminates by Using Acoustography. in
23rd Annual Research Symposium and Spring Conference. 2014. Minneapolis, MN: ASNT.
13. Brady, R.P., et al., Thermal image analysis for the in-situ NDE of composites. Journal of Composites Technology & Research, 1999. 21(3): p. 141-146.
14. Liu, C.-T.B., et al., Detection of Discontinuities in Carbon-carbon Composites using X-ray Compton
Backscatter Radiography: Radiography by Selective Detection. Materials Evaluation, 2012. 70(3): p. 367-
377.
15. Pan, Y.P., et al., Thermal Diffusivity Mapping of Carbon/Carbon Composites. Materials Evaluation, 2009. 67(5): p. 540-546.
16. Green, W.H. and P. Sincebaugh, Nondestructive Evaluation of Complex Composites Using Advanced Computed Tomography (CT) Imaging, A.r. laboratory, Editor. Feberuary, 2001: Maryland, USA.
17. Moore, D.G. and C.L. Nelson, Assessment of Advanced Ultrasonic and Infrared Inspection Methods to Detect Delaminations and Water Ingress in Composite Honeycomb Materials, in 13th International
Symposium on Nondestructive Characterization of Materials (NDCM-XIII). May, 2013: Le Mans, France.
18. Persson, S., and E. Ostman, The Use of Computed Tomography in Non-Destructive Testing of Polymeric
Materials, Aluminum and Concrete. II. Applications. Polymer Testing, 1986. 6(6): p. 415-446.
19. Lowrey A. R, K. D Friddell, and D.W. Cruikshank, Nondestructive Evaluation of Aerospace Composites Using Medical Computed Tomography (CT) Scanners, in American Societyfor Nondestructive Testing (ASNT) Spring Conference. 11-14 March, 1985: Washington, DC, USA.
79
20. H. Hocheng and C.C. Tsao, Computerized Tomography and C-scan for Measuring Drilling-Induced
Delamination in Composite Material Using Twist Drill and Core Drill. Key Engineering Materials, May, 2007. 339: p. 16-20.
21. Seshu D. Rama and M.N.R. Dakshina, Non Destructive Testing of Bridge Pier - A Case Study. Procedia
Engineering, 2013. 54(0): p. 564-572.
22. Wagner, D., et al., Ultrasonic fatigue tests at high temperature on an austenitic steel. Propulsion and Power Research, 2012. 1(1): p. 29-35.
23. Zhen-Guo, Y., L. B., and S. J., Ultrasonic testing technique for small-calibre piping containing defects.
International Journal of Pressure Vessels and Piping, 1996. 68(3): p. 325-330.
24. Stefanos Giannis, Vladimír Matěják, and R. Freemantle, Maximizing the benefit of non-destructive inspection data to evaluate the damage tolerance performance of composites, in SAMPE Tech conference,
S.f.t.A.o.M.a.P.E. SAMPE, Editor. October, 2013, Society for the Advancement of Material and Process Engineering (SAMPE): Wichita, KS, USA.
25. (ASTM), A.S.f.T.a.M., Standard Guide for Computed Tomography (CT) Imaging, in 3. 1986, ASTM international: Columbus, OH, USA.
26. Oster, R., Computed Tomography as a Non-destructive Test Method for Fiber Main RotorBlades in Development, Series and Maintenance, in International Symposium on Computerized Tomography for Industrial Applications and Image Processing in Radiology. March, 1999: Berlin, Germany 27. Rosset A, S.L., Ratib O., OsiriX: an open-source software for navigating in multidimensional DICOM
images. Journal of Digit Imaging., Sep 2004. 17(3): p. 205-216.
28. Tiago Ferreira and Wayne Rasband, ImageJ User Guide, N.I.o. Health, Editor. October, 2012, National
Institutes of Health: USA.
29. MathWorks, Matlab Primer R2014a manual 2014, Mathwork, Inc.: MA, USA.
30. Peter, E., et al., Interphantom and interscanner variations for Hounsfield units—establishment of reference values for HU in a commercial QA phantom. Physics in medicine and biology, 2010. 55: p. 5123-5135.