Advanced signal analysis of acoustic emission data to discrimination of different corrosion forms
by Luigi Calabrese; Massimiliano Galeano; Edoardo Proverbio; Domenico Di Pietro; Angelo Donato; Filippo Cappuccini
International Journal of Microstructure and Materials Properties (IJMMP), Vol. 12, No. 3/4, 2017

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.

Online publication date: Tue, 10-Apr-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Microstructure and Materials Properties (IJMMP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com