| 王大为,李超,王辉.乙丙橡胶热带雨林环境储存寿命预测研究[J].装备环境工程,2019,16(8):. WANG Da-wei,LI Chao,WANG Hui.Prediction of Environmental Storage Life of Ethyene-propylene Rubber Tropical Rainforest[J].Equipment Environmental Engineering,2019,16(8):. |
| 乙丙橡胶热带雨林环境储存寿命预测研究 |
| Prediction of Environmental Storage Life of Ethyene-propylene Rubber Tropical Rainforest |
| 投稿时间：2019-03-28 修订日期：2019-04-08 |
| DOI：10.7643/issn.1672-9242.2019.08.019 |
| 中文关键词: 热带雨林 储存寿命 压缩永久变形 预测 |
| 英文关键词:tropical rainforest storage life compression set forecast |
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| 中文摘要: |
| 目的 预测乙丙橡胶在我国热带雨林环境下的库内储存寿命。方法 通过定期检测乙丙橡胶在西双版纳试验站库内储存时自由状态下的力学性能和受力状态下的压缩永久变形，压缩永久变形在储存过程中表现出较为明显的变化趋势，以压缩永久变形作为乙丙橡胶热带雨林储存时的寿命预测指标较为合理。结果 在储存过程中，乙丙橡胶材料的压缩永久变形与老化时间符合幂函数关系，通过对样品的压缩永久变形数据进行处理，获得乙丙橡胶的性能变化速率常数和老化试验常数，用二分法确定老化的特征常数，建立了乙丙橡胶在西双版纳环境库内储存受力状态下的老化寿命方程。结论 通过回归效果检验，老化寿命方程具有显著的回归效果。误差分析表明，老化寿命方程具有较高的可信度，可以用来预测乙丙橡胶在西双版纳实际储存时的性能变化。 |
| 英文摘要: |
| Objective To predict the ethylene-propylene rubber (EPR) storage life under tropical rainforest environment in china. Methods The mechanical and compression set of ethylene-propylene rubber in free state and under stress state during storage in Xishuangbanna test station were regularly tested. Compression set showed obvious change trend during storage. It was reasonable to use the retention rate of compression set as the life prediction index of ethylene-propylene tropical rainforest during storage. Results In actual storage and use of rubber materials, the relationship between the performance change index and aging time conformed to the power function. EPR performance change rate constant and aging test constant were obtained by processing the retention rate data of compression set. The characteristic constant of aging was determined by dichotomy method, and the aging life equation of EPR under storage stress in Xishuangbanna environmental storage was established. Conclusion Through the regression effect test, the aging life equation has significant regression effect. Further error analysis shows that the established life equation has high reliability and can be used to predict the performance change of EPR in Xishuangbanna. |
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