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Development and Deployment of a High Throughput Exterior Durability Program for Architectural Paint Coatings

  • Edward A. Schmitt

Keywords

Machine Vision Exposure Scenario Environmental Sensor Architectural Coating Service Life Prediction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. (1).
    Williams, R.S., Jourdain, C., Daisey, G.I., Springate, R.W., “Wood Properties Affecting Finish Service Life,” J. Coat. Technol., 72, No. 902, 35 (2000).CrossRefGoogle Scholar
  2. (2).
    Martin, J.W., Service Life Prediction: Methodology and Metrologies,Martin, J.W. and Bauer, D.R. (Eds.), Chapt. 1, American Chemical Society, Washington, D.C., 2002.Google Scholar
  3. (3).
    Hardcastle, H.K. III, Service Life Prediction: Methodology and Metrologies, Martin, J.W. and Bauer, D.R. (Eds.), Chapt. 3, American Chemical Society, Washington, D.C., 2002.Google Scholar
  4. (4).
    Martin, J.W., Saunders, S.C., Floyd, F.L., and Wineburg, J.P., Methodologies for Predicting the Service Lives of Coating Systems, Federation of Societies for Coatings Technology, Blue Bell, PA, 1996.Google Scholar
  5. (5).
    Meeker, W.Q. and Escobar, L.A., Statistical Methods for Reliability Data, John Wiley & Sons, New York, 1998.MATHGoogle Scholar
  6. (6).
    eXposure Vision is a registered trademark of the Rohm and Haas Company with patents pending in the U.S., EU, Mexico, and China.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Edward A. Schmitt
    • 1
  1. 1.Rohm and Haas CompanyArchitectural and Functional CoatingsSpring House

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