Composite materials nondestructive testing system based on low frequency acoustic methods

Author

Eremenko, Volodymyr S. ; Pereidenko, Anton V. ; Suslov, Evegeniy F. ; Lutsenko, Tetyana V.

Author_Institution

Dept. of Inf.-Meas. Syst., Nat. Aviation Univ., Kiev, Ukraine

Volume

01

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

61

Lastpage

65

Abstract

Paper depicts a prototype system for nondestructive testing of composite materials which uses two physical methods for flaw detection: low-velocity impact method and mechanical impedance analysis method. Introduced system uses neural network for processing digitized signals from the sensors and making diagnostic decisions. Paper also describes prototype hard- and software architecture and shows results of experimental testing.

Keywords

composite materials; flaw detection; materials science computing; neural nets; ultrasonic materials testing; composite materials; diagnostic decisons; digitized signals; flaw detection; low frequency acoustic methods; low-velocity impact method; mechanical impedance analysis method; neural network; nondestructive testing system; physical methods; prototype hard architecture; prototype software architecture; prototype system; sensors; Acoustics; Composite materials; Impedance; Neural networks; Neurons; Nondestructive testing; Reliability; composite materials; honeycomb panel; low-velocity impact; mechanical impedance analysis; neural network; nondestructive testing system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662640

Filename

6662640