Browsing by Subject "Composite materials -- dielectric properties -- defects"
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Detection and Prediction of Defects in Composite Materials Using Di-Electric Characterization and Neural Networks
(Society for the Advancement of Material and Process Engineering (SAMPE)Institute for Predictive Performance and Methodologies, The University of Texas at Arlington Research Institute (UTARI), University of Texas at Arlington, May 2018)The state of art non-destructive inspection techniques for composite materials detect the presence of defects in the composite material, but they do not identify what type of defect it is, and hence, further visual inspection ...