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Author
Martin, J. W. | Saunders, S. C. | Floyd, F. L. | Wineburg, J. P.
Title
Methodologies for Predicting the Service Lives of Coating Systems.
Coporate
National Institute of Standards and Technology, Gaithersburg, MD Washington State Univ., Pullman, WA Duron Paints and Wallcoverings, Beltsville, MD E. I. du Pont de Nemours and Co. (Inc.), Philadelphia, PA
Report
NIST BSS 172; Federation Series, October 1994; June 1996, 34 p.
Distribution
Available from Government Printing Office Available from National Technical Information Service
Keywords
computerized materials databases | fault tree | fundamental mechanistic experiments | in-service exposures | performance characteristic | reliability theory | reliability-based methodology | service life | time series | UV radiation | life (durability)
Abstract
Over the last two decades, the organic coatings industry has undergone rapid technological and structural changes. These changes have been induced by legislative actions such as restrictions pertaining to hazardous chemicals, toxic effluents, and volatile organic compounds. The consequence of these changes has been the displacement of almost all commercially-important, well-established coatings (largely high-solvent coatings) by newer systems, the formulation and application of which are based on different chemistries and technologies. Unlike the displaced coatings, however, the new coatings do not have performance histories and the only accepted method for generating performance data is through an extensive outdoor exposure program. Since outdoor exposure results typically take five years to obtain, a desperate need exists for a methodology which is capable of generating timely, accurate, and reliable service life estimates of a coating system. This report reviews the attributes of the service life prediction problem which are common to all materials, components, and systems in an effort to establish a set of criteria for assessing the adequacy of existing or proposed service life prediction methodology for coating systems. The current durability methodology and the reliability-based methodology are then evaluated against these criteria.