Literature DB >> 34204546

Microwave Non-Destructive Testing for Delamination Detection in Layered Composite Pipelines.

Przemysław Sobkiewicz1, Paweł Bieńkowski1, Wojciech Błażejewski2.   

Abstract

Microwave imaging and defectoscopy are promising techniques for dielectric composite evaluation. Their most significant advantage is their relatively high penetration depth. Another feature worth noting is that traditional methods could not acquire an internal content with such a low impact on both the sample and surrounding environment, including the test operator, compared to other techniques. This paper presents microwave non-destructive and noninvasive methods for quality evaluation of layered composite materials using an open-ended waveguide probe. Pure |S11| parameters only exceptionally give a clear answer about the location of material cracks. Therefore, this makes it necessary to analyze these parameters simultaneously along with several other factors, such as stand-off distance, probe type or wave polarization. The purpose of the work was to find the dependency between the physical state of a layered composite powerplant pipeline and the S-matrix parameters response (reflection and transmission parameters) in a Ku frequency band that has not yet been extensively researched. Lower-frequency measurements broaden the application possibility for thicker composites, mainly because of a higher penetration depth and measurement setup availability. Different methods have been shown, including reflection and transmission/reflection methods, both in close proximity and in stand-off distance. The measurements are based on a low-complexity experimental setup.

Entities:  

Keywords:  delamination; layered dielectric composites; microwave imaging; microwave imaging probes; non-destructive testing (NDT)

Year:  2021        PMID: 34204546     DOI: 10.3390/s21124168

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Defect Detection Method for CFRP Based on Line Laser Thermography.

Authors:  Quan Wang; Zhijie Zhang; Wuliang Yin; Haoze Chen; Yushan Liu
Journal:  Micromachines (Basel)       Date:  2022-04-13       Impact factor: 3.523

2.  Localization of Dielectric Anomalies with Multi-Monostatic S11 Using 2D MUSIC Algorithm with Spatial Smoothing.

Authors:  Ahmad Bilal; Choon Sik Cho
Journal:  Sensors (Basel)       Date:  2022-07-15       Impact factor: 3.847

  2 in total

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