Hybrid Artificial Neural Network-Particle Swarm Optimization for Prediction of DNBP Polymerization Retarder Usage in Industrial Styrene Monomer Plant
<br /> The distillation towers of styrene monomer (SM) plants consume a considerable amount of expensive and toxic 2,4-dinitro-6-sec-butyl phenol (DNBP) as a polymerization retarder. The minimization of the operating cost, as well as preventing environmental pollution, is highly desirable to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Reaserch Institute of Petroleum Industry
2020-01-01
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| Series: | Journal of Petroleum Science and Technology |
| Subjects: | |
| Online Access: | https://jpst.ripi.ir/article_1037_3daece9d1357a911d679ccbbec6bd96c.pdf |