Estimating service lifetimes in weathering: an optimistic view

Directly correlating lifetime to coating composition by using standardized, artificial exposures, or even natural exposure, is often very difficult. However, significant progress can be made by breaking down the problem into smaller questions, which can be separately addressed. If one understands the physical parameters that affect end-use properties, then one can also group, and thus correlate, properties according to whether they depend on processes at the surface or in the bulk of a coating, or whether they depend on defects. A scheme is presented that shows how one can use knowledge from analytical physical or chemical materials science in a statistical model related to the “chemical paradigm.” Simple physical models that use this information, about the initial state of the coating and its rate of degradation, can be used to compare the performance of coatings and estimate, simply, service lifetime depending on the property of interest, in the environment of interest. One can see that different properties are sensitive in different ways to the degradation process and decay with a different rate. Thus, although properties may be determined by the same degradation process, and location within a coating, they do not correlate directly. These approaches show how to organize our knowledge of degradation processes, and environments, and be able to make some testable predictions on how coating properties deteriorate.

[1]  D. R. Bauer Predicting in-service weatherability of automotive coatings: A new approach , 1997 .

[2]  Agnès Rivaton,et al.  Infrared analysis of the photochemical behaviour of segmented polyurethanes: 3. Aromatic diisocyanate based polymers , 1998 .

[3]  P. Beckmann,et al.  The scattering of electromagnetic waves from rough surfaces , 1963 .

[4]  C. A. Smith,et al.  On the use of Fourier transform infrared spectroscopy and ultraviolet spectroscopy to assess the weathering performance of isolated clearcoats from different chemical families , 1998 .

[5]  M. Pecht,et al.  Physics-of-failure: an approach to reliable product development , 1995, IEEE 1995 International Integrated Reliability Workshop. Final Report.

[6]  Abraham Marmur,et al.  Soft contact: measurement and interpretation of contact angles. , 2006, Soft matter.

[7]  M. Nichols,et al.  The effect of weathering on the fracture energy of hardcoats over polycarbonate , 2002 .

[8]  Xiaohong Gu,et al.  Characterization of polyester degradation using tapping mode atomic force microscopy: exposure to alkaline solution at room temperature , 2001 .

[9]  R. N. Wenzel RESISTANCE OF SOLID SURFACES TO WETTING BY WATER , 1936 .

[10]  H. E. Bennett,et al.  Relation between Surface Roughness and Specular Reflectance at Normal Incidence , 1961 .

[11]  David R. Bauer,et al.  Service life prediction : methodology and metrologies , 2001 .

[12]  L.F.E Jacques,et al.  Accelerated and outdoor/natural exposure testing of coatings , 2000 .

[13]  Mark R. VanLandingham,et al.  Effects of ultraviolet radiation exposure on vinyl ester resins: characterization of chemical, physical and mechanical damage , 2003 .

[14]  George Wypych,et al.  Handbook of Material Weathering , 1995 .

[15]  David R. Bauer,et al.  The Role of Fundamental Mechanistic Studies in Practical Service Life Prediction , 2001 .

[16]  B. Hinderliter,et al.  Statistical approaches for predicting weathering degradation and service life , 2006 .

[17]  G. Moad,et al.  15N CP/MAS solid-state NMR spectroscopy of a 15N-enriched hindered amine light stabilizer photolyzed in acrylic/melamine and acrylic/urethane coatings , 2000 .

[18]  A. S. Toporets Specular Reflection from a Rough Surface , 1964 .

[19]  A. Llebaria,et al.  Autocovariance functions, root-mean-square-roughness height, and autocovariance length for rough deposits of copper, silver, and gold , 1982 .

[20]  R. O. Buckius,et al.  A statistical model of wave scattering from random rough surfaces , 2001 .

[21]  D. R. Bauer,et al.  Repeatability and Reproducibility of Field Exposure Results , 2004 .

[22]  R. Dickie Chemical origins of paint performance , 1994 .

[23]  Stéphanie Hollande,et al.  Degradation process of an industrial thermoplastic elastomer polyurethane‐coated fabric in artificial weathering conditions , 1999 .

[24]  Lawrence B. Wolff,et al.  Relative brightness of specular and diffuse reflection , 1994 .

[25]  B. Hinderliter,et al.  Simulations of nanoscale and macroscopic property changes on coatings with weathering , 2006 .

[26]  Jan J. Koenderink,et al.  Reflectance from locally glossy thoroughly pitted surfaces , 2005, Comput. Vis. Image Underst..

[27]  Jon Martin,et al.  Validation of the reciprocity law for coating photodegradation , 2005 .

[28]  J. Vernet,et al.  Artificial aging of acrylurethane and alkyd paints: a micro-ATR spectroscopic study , 2000 .

[29]  J. Gardette,et al.  Infrared analysis of the photochemical behaviour of segmented polyurethanes : 1. Aliphatic poly(ester-urethane) , 1997 .

[30]  J. Bendler,et al.  Approximate model of diffuse reflectance from rough polymer surfaces , 1998 .

[31]  C. Bowman,et al.  Modeling of network degradation in mixed step-chain growth polymerizations , 2005 .

[32]  Spectroscopic adsorption and effective dosage in accelerated weathering of a polyester-urethane coating , 2002 .