White, C.
, Hunston, D.
, Sung, L.
, Hsueh, H.
, Pintar, A.
and Jacobs, D.
(2019),
Validating Predictive Models with Outdoor Data, Natural and Artifical Ageing of Polymers, GUS, Pfinztal, -1
(Accessed October 14, 2024)
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Validating Predictive Models with Outdoor Data
Published
Author(s)
, , , , ,
Abstract
The NIST service life prediction program has demonstrated success in producing validated predictions for the property change resulting from outdoor exposure for a range of polymer systems including Epoxy, Polyethylene, Polyester, Polyethylene terephthalate, and Polyurethane elastomers. These predictions, based on ASTM 1850, have included uncertainty calculations. In each of these systems, a predictive model grounded in laboratory exposure data is validated with outdoor exposure data. Two complications in the widespread adoption of these methods is that requirement that the formulations are designed to degrade prematurely commercially viable systems to produce these predictions in a reasonable amount of time and the limited availability of the exposure equipment. Both considerations can be addressed with the development of commercially viable exposure equipment. The efforts to incorporate this new equipment into the ASTM 1850 protocols will be detailed.Citation
Natural and Artifical Ageing of Polymers
Volume
9
Publisher Info
GUS, Pfinztal, -1
Pub Type
Book Chapters
Keywords
Predictive model, service life prediction, polymer, sealant
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created October 16, 2019, Updated August 25, 2020