Two artificial neural network-expert system programs originally developed for stand alone computers were modified so as to be internet accessible. These intelligent tools predict the propensity for localized corrosion from cyclic potentiodynamic polarization scans and the chemical compatibility of elastomers and some thermoplastics from a sequential immersion test. Examples discussed show that the functionality of the programs has not been compromised by the modification for the internet. The benefits such internet accessibility can provide are discussed in this paper.

Subject
Artificial neural networks, Immersion tests, Materials, Laboratory data, Repassivation potentials, Corrosion prediction, Tools, Pitting, Training, Polarization, Protection potential, Electrodes, Corrosion potential
Keywords:
polarization scan, nonmetallic testing, artificial neural network, expert system, computer, internet accessibility, corrosion prediction, sequential immersion test
© 2005 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
2005
Association for Materials Protection and Performance (AMPP)
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