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The cycle cycle with the following conditions gave excellent correlation with outdoor test results: an ambient temperature of 80 degrees; a wet time percentage of 20 Pa: a wet time of 8.7 minutes per cycle. The most common cycle time in the industry was 140 Degrees of black temperature 15%F and 18.0 minutes wet time. From the degree of correlation between actual and predicted performance changes, it seems that the focus should be on the use of nitrogen light sources in smart climate chambers.
Only incomplete outdoor test data were compared with thousands. Note that the tensile strength of these cast samples increased during the exposure test, apparently due to dry ripening, which is very interesting. For the same reason, in the intelligent artificial climate In the box test, the temperature is increased and the tensile strength is also increased. On the other hand, the color change follows a pattern similar to that of polystyrene and polyvinyl chloride.
Finally, it should be pointed out that the above analysis method tends to be used as a simplification of the complex mutual restraint between the variable factors and performance in artificial and outdoor exposure. Such a mutual restraint relationship, as long as the analysis through the most detailed physical and chemical structure and dynamics With knowledge of the rate analysis and the application of realistic mathematical models, smart climate chambers can be fully understood. These results indicate a possibility that the objectives of the exposure study should focus on the estimation of exposure parameters or the like rather than reporting on the data on the change in performance during the exposure. Such a target transfer will require the basics of the methodological and analytical processes. change.
Intelligent artificial climate chambers affect the variable factors of aging materials
The exposure of plastics to the aging of intelligent artificial climate chambers is largely related to the exposure to helium. Therefore, the basic data provided by the above discussion, as in the current test methods used, is the absence of the above discussion. Can not expect to get meaningful data. In order to describe in detail the dependence of the properties of the plastic material on the exposure variables and to simplify the mathematical processing of the data, a new concept of exposure parameters was cited in this work. Thanks to the simple transformation, it was found that these parameters can be used to predict the characteristics of outdoor plastic intelligent climate chambers of various plastics and the results are very consistent.