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| Aging Prediction Model of Plastic Exposed in Atmosphere Environments |
| Received:July 19, 2018 Revised:March 25, 2019 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/ issn.1672-9242.2019.03.007 |
| KeyWord:atmospheric environment plastic aging behaviour model prediction |
| Author | Institution |
| YANG Xiao-kui |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| ZHANG Lun-wu |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| ZHANG Shi-yan |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| XIANG Jiang-tao |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| MOU Xian-liang |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| ZHU Yu-qin |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| WANG Wan |
Southwest Technology and Engineering Research Institute, Chongqing , China |
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| Abstract: |
| Objective To provide simple and reliable method for prediction of plastic aging behaviour, and achieve the full value of environmental effect data. Methods The changes of tensile strength, ductility and bending strength for 9 kinds of engi-neering plastics, which were exposed in three types of representative atmospheric environments, were predicted with different models including GM(1,1) model, power function model, exponential model and polynomial model, and the calculated results were compared with actual measurement results of natural environment test. Results Among three mechanical properties, the prediction effect of bending strength was the best; while the prediction effect of ductility was the worst. Of the four prediction models, GM(1,1) model presented the best prediction effect and the highest accuracy. And good prediction effect was achieved when the data possessed the characteristics of fluctuation. Conclusion When the function relationship between atmospheric aging evaluation index and test time is explored and analysed, it is required to consider not only the fitting effect, correlation coefficient, prediction error and prediction accuracy but also the consistency of change law of plastic properties reflected by the prediction model and objective reality. Then the whole relationship between plastic aging degree and test time could be reflected as closely as possible by the prediction model. |
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