|
二维码（扫一下试试看！） |
| BP神经网络在妥尔油改性酚醛树脂研制中的应用 |
| Application of BP Neural Network in Development of Tall Oil Modified Phenolic Resin |
| |
| DOI： |
| 中文关键词: BP神经网络；妥尔油；改性；酚醛树脂 |
| 英文关键词: BP neural network；tall oil；modification；phenolic resin |
| 基金项目: |
| 中图分类号:TQ330.38＋3 |
| Author Name | Affiliation | | CHEN Xin | Sino Legend（China） Chemical Co. ，Ltd | | MENG Zhenyu | Sino Legend（China） Chemical Co. ，Ltd |
|
| Hits: 668 |
| Download times: 235 |
| 中文摘要: |
| 研究BP神经网络在妥尔油改性酚醛树脂研制中的应用。结果表明，通过建立神经网络模型，以原料松香的松香酸质量分数、妥尔油改性酚醛软化点和相对分子质量作为条件，可以预测妥尔油改性酚醛树脂胶料的门尼粘度、门尼焦烧时间、硫化特性和拉伸性能，从而研制出适用且具有稳定应用性能的妥尔油改性酚醛树脂。 |
| 英文摘要: |
| The application of BP neural network in the development of tall oil modified phenolic resin was studied. The results showed that the Mooney viscosity，scorch time，vulcanization characteristics and tensile properties of tall oil modified phenolic resin compound could be predicted by neural network model established by taking the rosin acid mass fraction of the raw rosin，softening point and relative molecular weight of the tall oil modified phenolic resin as the variables. With this method，the tall oil modified phenolic resin with good and stable application properties was developed. |
|
View Full Text
View/Add Comment Download reader |
| Close |
