Skip to main content

A Statistical Model for Linking Field and Laboratory Exposure Results for a Model Coating

  • Conference paper
Service Life Prediction of Polymeric Materials

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Martin, J.W., Saunders, S.C., Floyd, F.L., and Wineburg, J.P., “Methodologies for Predicting the Service Lives of Coating Systems,” Federation Series on Coatings Technology, Federation of Societies for Coatings Technology, Blue Bell, PA, 1996.

    Google Scholar 

  2. Martin, J.W., “A Systems Approach to the Service Life Prediction Problem for Coating Systems,” in A Systems Approach to Service Life Prediction of Organic Coatings, Bauer, D.R. and Martin, J.W. (Eds.), American Chemical Society, Washington, D.C., 1999.

    Google Scholar 

  3. Nelson, W., Accelerated Testing: Statistical Models, Test Plans, and Data Analyses, John Wiley & Sons, New York, 1990.

    Google Scholar 

  4. Meeker, W.Q. and Escobar, L.A., Statistical Methods for Reliability Data, John Wiley & Sons, New York, 1998.

    Google Scholar 

  5. Gillen, K.T. and Mead, K.E., “Predicting Life Expectancy and Simulating Age of Complex Equipment Using Accelerated Aging Techniques,” Available from the National Technical Information Service, U.S. Department of Commerce, 5285 Port Royal Road, Springfield, VA22151, 1980.

    Google Scholar 

  6. Joyce, W.B., Liou, K-Y., Nash, F.R., Bossard, P.R., and Hartman, R.L., “Methodology of Accelerated Aging,” AT\&T Technical Journal, 64, 717–764, 1985.

    Google Scholar 

  7. Starke, E.A., et al., Accelerated Aging of Materials and Structures, Publication NMAB-479, Washington DC: National Academy Press, 1996.

    Google Scholar 

  8. Wernstål, K.M. and Carlsson, B., “Durability Assessment of Automotive Coatings—Design and Evaluation of Accelerated Tests,” J. Coat. Technol., 69, No. 865, 69-75, 1997.

    Article  Google Scholar 

  9. Chin, J.W., Martin, J.W., Embree, E.J., and Byrd, W.E., “Use of Integrating Spheres as Uniform Sources for Accelerated UV Weathering of Advanced Materials,” Proc. ACS Div. of Polymeric Materials: Science and Engineering, Washington, D.C., American Chemical Society, Washington, D.C., pages 145-146, August 20-24, 2000.

    Google Scholar 

  10. Kaetzel, L.J., “Data Management and Spectral Solar UV Network.” In Service Life Prediction Methodologies and Metrologies, Martin, J.W. and Bauer, D.R. (Eds.), American Chemical Society Symposium Series 805, p. 89, 2001.

    Google Scholar 

  11. James, T.H. (Ed.), The Theory of the Photographic Process, 4th ed., Macmillan, New York, 1977.

    Google Scholar 

  12. Blum, H.F., Carcinogenesis by Ultraviolet Light, Princeton University Press, Princeton, NJ, 1959.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this paper

Cite this paper

Vaca-Trigo, I., Meeker, W.Q. (2009). A Statistical Model for Linking Field and Laboratory Exposure Results for a Model Coating. In: Martin, J.W., Ryntz, R.A., Chin, J., Dickie, R.A. (eds) Service Life Prediction of Polymeric Materials. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84876-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-84876-1_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84875-4

  • Online ISBN: 978-0-387-84876-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics