3 research outputs found
Automatic simultaneous measurement of phase velocity and thickness in composite plates using iterative deconvolution
A new method for the automatic and simultaneous measurement of phase velocity and thickness for thin composite plates was developed based on Ping He's method, without any need of a priori knowledge of the material parameters. Two composites were analyzed: a block of clean epoxy and a thin specimen of glass-fiber reinforced plastic produced by resin transfer molding. The proposed method combines cross-correlation functions and iterative deconvolution for accurate measurement of times of flight and gating. The new method has demonstrated to be more accurate than conventional Ping He's method, and can be implemented automatically thus saving processing time and increasing accuracy.This research was funded by a Project IN-SMART, Grant no. VP1-3.1SMM-10-V-02-012 and by the Spanish Ministerio de Ciencia e Innovacion (TEC2011-23403).Rodriguez Martinez, A.; Svilainis, L.; Dumbrava, V.; Chaziachmetovas, A.; Salazar Afanador, A. (2014). Automatic simultaneous measurement of phase velocity and thickness in composite plates using iterative deconvolution. NDT and E International. 66:117-127. https://doi.org/10.1016/j.ndteint.2014.06.001S1171276
Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging
[EN] Ultrasonic imaging of composites was investigated. Glass and carbon fiber
reinforced plastic produced by resin transfer molding and prepreg forming were analyzed. In
some of the samples air bubbles were trapped during RTM (resin transfer molding) process and
interlayer gaps were present in prepreg technology samples. One of the most expected
techniques to apply in such case is the Split Spectrum processing. On the other hand such
signals require specific processing to reliably reconstruct the temporal position of the defect
reflection. Correlation processing can be used for signal compression or Wiener filtering can be
applied for spectral content equalisation. Pulse signals are simple to generate, but lack the
possibility to alter the signal’s spectrum shape. Spread spectrum signals offer a powerful tool
for signal energy over frequency band increase and resolution enhancement. CW (continuous
wave) burst has high energy but lacks the bandwidth needed for SSP (spread spectrum
processing). The aim of the investigation was to compare the performance of the above signals
in case of composite imaging, when various Split Spectrum Processing techniques are used
with preceding Wiener processing for spectral content compensation. Resulting composite
signals and images obtained are presented. Structural noise removal performance was
evaluated as Receiver Operating Characteristics (ROC).This research (acquisition system and spread spectrum signals) was funded by a grant (No. MIP058/2012) from the Research Council of Lithuania. SSP part was supported by PROMETEO 2010/40.Svilainis, L.; Kitov, S.; Rodriguez Martinez, A.; Vergara Domínguez, L.; Dumbrava, V.; Chaziachmetovas, A. (2012). Comparison of spread spectrum and pulse signal excitation for split spectrum techniques composite imaging. IOP Conference Series: Materials Science and Engineering. 42:5-9. https://doi.org/10.1088/1757-899X/42/1/012007S594