Ultrasonic signal processing methods for detection of defects in composite materials

Abstract

Determining the defects in multi-layered plastic pipes with fiber-reinforced layer is a common problem in many fields: fiber-reinforced composites have the high acoustic attenuation and high structure noise resulted from in homogeneity; fiber-reinforced layer characterized by scattering of ultrasonic beam; all layers have different acoustic impedance et al. Named problems show that the composite materials testing require special care in frequency selection and signal interpretation. Enhancement of the received ultrasonic signals can be achieved by applying signal processing techniques.

In this paper application of different signal processing methods for detection of defects in composite materials is analyzed. The aim of this analysis is optimal method to testing of composite materials to searching. The limitations of different signal processing methods condition the new processing algorithms to create. For this purpose can be used composition of different methods to best result of defects detection to achieve. To solve the specific problems can be compare the results of computer simulation of different signal processing methods and chose the best method.