Abstract
The research describes the effort to develop a predictive model for coating degradation and substrate corrosion on Army assets. The model incorporates the learning from field surveys of over 15,000 assets and 250,000 components; coating performance in standardized testing; and observations of coating condition as-applied to fielded items. The model outputs would provide a basis to (1) support a Commodity Manager to determine repaint intervals, optimizing expenditures and (2) develop new products / processes (impacting coating performance) increasing life of an asset protective coating system.
© 2022 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).
2022
Association for Materials Protection and Performance (AMPP)
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