Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network
The effect of the amounts of initiator, emulsifier, and molecular weight regulator on the styrene butadiene rubber performance was investigated, based on the industrial original formula. It was found that the polymerization rate was increased with the increased dosage of initiator and emulsifier, an...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/515704 |
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| _version_ | 1832562686896898048 |
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| author | Yan-jiang Jin Ben-xian Shen Ruo-fan Ren Lei Yang Jun Sui Ji-gang Zhao |
| author_facet | Yan-jiang Jin Ben-xian Shen Ruo-fan Ren Lei Yang Jun Sui Ji-gang Zhao |
| author_sort | Yan-jiang Jin |
| collection | DOAJ |
| description | The effect of the amounts of initiator, emulsifier, and molecular weight regulator on the styrene butadiene rubber performance was investigated, based on the industrial original formula. It was found that the polymerization rate was increased with the increased dosage of initiator and emulsifier, and together with replenishing molecular weight regulator will make the Mooney viscosity of rubber meet the national standard when the conversion rate reaches 70%. The backpropagation neural network was trained by the original formula and ameliorated formula on the basis of Levenberg-Marquardt algorithm, and the relative error between the simulation results and experimental data is less than 1%. The good consistency shows that the BP neural network could predict the product performances in different formula conditions. It would pave the way for adjustment of the SBR formulation and prediction of the product performances. |
| format | Article |
| id | doaj-art-995c81df55ad4734bce639aa0f36a055 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-995c81df55ad4734bce639aa0f36a0552025-02-03T01:22:08ZengWileyJournal of Engineering2314-49042314-49122013-01-01201310.1155/2013/515704515704Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural NetworkYan-jiang Jin0Ben-xian Shen1Ruo-fan Ren2Lei Yang3Jun Sui4Ji-gang Zhao5State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, ChinaState Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, ChinaState Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, ChinaJilin Petrochemical Company, Petro China, Jilin 132021, ChinaJilin Petrochemical Company, Petro China, Jilin 132021, ChinaState Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, ChinaThe effect of the amounts of initiator, emulsifier, and molecular weight regulator on the styrene butadiene rubber performance was investigated, based on the industrial original formula. It was found that the polymerization rate was increased with the increased dosage of initiator and emulsifier, and together with replenishing molecular weight regulator will make the Mooney viscosity of rubber meet the national standard when the conversion rate reaches 70%. The backpropagation neural network was trained by the original formula and ameliorated formula on the basis of Levenberg-Marquardt algorithm, and the relative error between the simulation results and experimental data is less than 1%. The good consistency shows that the BP neural network could predict the product performances in different formula conditions. It would pave the way for adjustment of the SBR formulation and prediction of the product performances.http://dx.doi.org/10.1155/2013/515704 |
| spellingShingle | Yan-jiang Jin Ben-xian Shen Ruo-fan Ren Lei Yang Jun Sui Ji-gang Zhao Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network Journal of Engineering |
| title | Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network |
| title_full | Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network |
| title_fullStr | Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network |
| title_full_unstemmed | Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network |
| title_short | Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network |
| title_sort | prediction of the styrene butadiene rubber performance by emulsion polymerization using backpropagation neural network |
| url | http://dx.doi.org/10.1155/2013/515704 |
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