|
二维码（扫一下试试看！） |
| Operation Optimization Model of the Heat Dispersion System Based on RF-SEGA Hybrid Algorithm |
| Received:May 22, 2022 Revised:July 04, 2022 |
| DOI：10.11981/j.issn.1000-6842.2024.03.151 |
| Key Words:heat dispersion system;process optimization;machine learning |
| Fund Project:中央高校基本科研业务费专项资金资助（2023ZYGXZR100）。 |
| Author Name | Affiliation | Postcode | | MA Yayun | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | HONG Mengna | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640
China-Singapore International Joint Research Institute， Guangzhou， Guangdong Province， 510555 | 510555 | | LI Jigeng | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | HE Zhenglei | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640 | 510640 | | MAN Yi | State Key Lab of Pulp and Paper Engineering， South China University of Technology， Guangzhou， Guangdong Province， 510640
Pazhou Lab， Guangzhou， Guangdong Province， 510335 | 510335 |
|
| Hits: 2 |
| Download times: 1 |
| Abstract: |
| The thermal dispersion system is an important process unit for the reuse of waste paper in the pulping and papermaking process， and the effect of thermal dispersion treatment has a significant impact on the operating performance of the paper machine and the quality of paper products. Due to the performance variation of different waste papers， key indicators such as the content and size of adhesive， and fiber morphology in pulp cannot be quantified. The thermal dispersion system is difficult to achieve optimal operation， and there are some problems such as large energy consumption， chemical waste， and pulp performance fluctuations. This study established an optimization model for the operation of a thermal dispersion system， based on the types and basis weight of paper for classification to establish an optimization mode database. The energy efficiency optimization model was established using the Random Forest （RF） algorithm and the Segregative Genetic Algorithm （SEGA）. The results of actual production data verification showed that after model optimization， the optimization ranges of the operating parameters of the thermal dispersion system were： torque 0~3%， temperature 0~4 ℃， and thermal dispersion machine power 0~50 kW. The optimization results were in line with the process adjustment range， indicating that the optimized model had good stability. After parameters adjusting for 4 times according to the model optimization values， the cumulative amount of adhesive decreased by about 6.36%， 5.17%， 4.25%， and 7.82%， respectively， compared to that before parameter adjustment； the comprehensive cost per ton of dry pulp had been reduced by approximately 4.62%， 3.55%， 4.43%， and 4.36%， respectively. The results indicated that the optimized operation model of the thermal dispersion system was in line with actual production conditions， which could improve the dispersion effect of pulp and reduce the energy consumption cost of thermal dispersion process. |
| View Full Text View/Add Comment Download reader HTML |
