Relating Accelerated Laboratory and Outdoor Aging for a Model Polymeric Coating Using Reliability-based Methodology

摘要

The reliability-based methodology is a measurement intensive, predictive approach in which laboratory exposure experiments are designed to include the factors influential in degradation during field exposures, and the data generated from these experiments are viewed as the standard of performance against which field exposure data are compared. In the present study, the reliability-based methodology was used to link laboratory and outdoor exposure results for a model epoxy coating system. Accurate and time-based measurements were performed on both exposure environments and degradation properties for epoxy specimens exposed to accelerated laboratory weathering device and outdoor environments. Laboratory weathering tests were conducted on the NIST SPHERE (Simulated Photodegradation via High Energy Radiant Exposure), a device in which spectral ultraviolet (UV) wavelength, spectral intensity, temperature, and relative humidity (RH) can be precisely and accurately controlled over time. A factorial design consisting of 4 temperatures, 4 RH levels, 4 UV spectral wavelengths, and 4 UV spectral intensities was used in exposing the epoxy samples on the SPHERE to assess the effects of critical environmental factors on chemical degradation of this material. Outdoor exposure experiments were carried out on the roof of a NIST laboratory located in Gaithersburg, MD. Panel temperature and ambient RH of the outdoor exposure and the solar spectrum were used to characterize the roof environment at 12 minute intervals. The chemical degradation for specimens exposed on the SPHERE and in the outdoor environments was quantified by transmission FTIR and UV-visible spectroscopies. Tests using FTIR absorbance ratios showed that the mechanisms of chemical degradation for samples exposed outdoors and in the laboratory were similar. Two approaches, a model-free heuristic approach and a mathematical predictive model, were used in linking field and laboratory exposure results. Successful linkages have been made using both approaches. The study strongly demonstrated that, for the first time, the reliability-based methodology is capable of linking laboratory and field exposure data and predicting the service life of this type of polymeric material.