Iskandarani, M. Z. (1995) Application of smart classification techniques to non-destructive testing of composites. PhD thesis, University of Warwick.

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Abstract

Composites manufactured for applications in the automotive industry were non-destructively tested to determine damage using the following techniques:
(1) Low frequency tapping.
(2) High frequency (C-Scan).
(3) Visual imaging.
(4) Low and high temperature pulse video thermography.
Various levels of impact energy were applied to the following types of composites
(I) RIM: Reaction injection moulded.
(II) Woven Glass.
(III) GMT: Glass mat thermoplastic.
Some interesting results were obtained which could be explained through analytical and numerical modelling. These results were analyzed through developments of the following algorithms:
(a) A novel approach to damage detection using wavelength variation and sequence grouping software.
(b) Correlation of the various NDT techniques through one mathematical equation and software.
(c) The introduction of the uniformity factor concept and software to account for variations among samples quality in relation to experimental results.
(d) The development of smart classification system together with standard neural network algorithms for prediction and classification.
The objectives of this research were all achieved.

Item Type:	Thesis (PhD)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Library of Congress Subject Headings (LCSH):	Composite materials, Manufacturing processes, Fibrous composites.
Official Date:	1995
Dates:	Date Event 1995 Submitted
Institution:	University of Warwick
Theses Department:	Department of Engineering
Thesis Type:	PhD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Smith, Gordon F.
Extent:	xxvi, 344 leaves : illustrations
Language:	eng

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