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    Corrosion detection in pipes by piezoelectric sensors using Artificial Neural Network

    , Article Advanced Materials Research, 4 November 2011 through 6 November 2011 ; Volume 403-408 , November , 2012 , Pages 748-752 ; 10226680 (ISSN) ; 9783037853122 (ISBN) Rafezi, H ; Rahmani, B ; Sharif University of Technology
    2012
    Abstract
    Defect detection in pipes is an essential task specially for sensitive applications such as oil and gas industry where special cares are required. Corrosion is a common defect in pipes which has attracted attention of researchers. In present work a non-destructive methodology for pipe corrosion monitoring is introduced. Polymer of Vinylidene Fluoride (PVDF) Piezoelectric is used as the sensor to measure strain variations affected by internal corrosion. High sensitivity and low cost of piezoelectric materials made them a good candidate for precise industrial applications. Different corrosion conditions (i.e. corrosion location along pipe and corrosion depth) are modeled and sensors voltages...