Title: Advanced signal analysis of acoustic emission data to discrimination of different corrosion forms

Authors: Luigi Calabrese; Massimiliano Galeano; Edoardo Proverbio; Domenico Di Pietro; Angelo Donato; Filippo Cappuccini

Addresses: Department of Engineering, University of Messina, Contrada di Dio (Sant'Agata), 98166, Messina, Italy ' Department of Engineering, University of Messina, Contrada di Dio (Sant'Agata), 98166, Messina, Italy ' Department of Engineering, University of Messina, Contrada di Dio (Sant'Agata), 98166, Messina, Italy ' GE Oil & Gas, Via Felice Matteucci, 2 50127, Florence, Italy ' GE Oil & Gas, Via Felice Matteucci, 2 50127, Florence, Italy ' GE Oil & Gas, Via Felice Matteucci, 2 50127, Florence, Italy

Abstract: Aim of the present work is to give an analytical approach suitable to distinguish three different corrosion forms through the use of acoustic emission technique. Corrosion attacks have been obtained on three different types of martensitic stainless steel in a FeCl3 solution, using conditions set by the ASTM G48 standard. These martensitic stainless steel used were characterised by different mechanical, microstructural and electrochemical properties, which lead to the development of specific corrosion forms, albeit the steels were tested in the same environmental conditions. A multivariate statistical analysis approach, based on principal component analysis (PCA) and self-organising map (SOM), has been adopted to evaluate AE data and to obtain highlight damage-sensitive features. Specific clusters of variables related to specific corrosion phenomena have been identified, promoting this analysis approach as a potential procedure for discriminating onset of a specific corrosion mechanism.

Keywords: acoustic emission; uniform corrosion; localised corrosion; stress corrosion cracking; SCC; principal component analysis; PCA.

DOI: 10.1504/IJMMP.2017.091095

International Journal of Microstructure and Materials Properties, 2017 Vol.12 No.3/4, pp.147 - 164

Received: 20 Feb 2017
Accepted: 21 Apr 2017

Published online: 03 Apr 2018 *

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