Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM
文献类型：期刊论文
| 作者 | Xiaoli Wang; Luming Liu; Lian Duan; Qian Liao |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2023 |
| 卷号 | 10期号:11页码:2124-2135 |
| 关键词 | Decision-making technique grinding process multi-objective optimization response surface method (RSM) |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2023.123333 |
| 英文摘要 | The grinding and classification process is one of the key sub-processes in mineral processing, which influences the final process indexes significantly and determines energy and ball consumption of the whole plant. Therefore, optimal control of the process has been very important in practice. In order to stabilize the grinding index and improve grinding capacity in the process, a process model based on population balance model (PBM) is calibrated in this study. The correlation between the mill power and the operating variables in the grinding process is modelled by using the response surface method (RSM), which solves the problem where the traditional power modeling method relies on some unobservable mechanism-related parameters. On this basis, a multi-objective optimization model is established to maximize the useful power of the grinding circuit to improve the throughput of the grinding operation and improve the fraction of –0.074 mm particles in the hydrocyclone overflow to smooth the subsequent flotation operation. The elite non-dominated sorting genetic algorithm-II (NSGA-II) is then employed to solve the multi-objective optimization problem. Finally, subjective and objective weighting methods and integrated multi-attribute decision-making methods are used to select the optimal solution on the Pareto optimal solution set. The results demonstrate that the throughput of the mill and the fraction of –0.074 mm particles in the overflow of the cyclone are increased by 3.83 t/h and 2.53%, respectively. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/52428]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Xiaoli Wang,Luming Liu,Lian Duan,et al. Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(11):2124-2135. |
| APA | Xiaoli Wang,Luming Liu,Lian Duan,&Qian Liao.(2023).Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM.IEEE/CAA Journal of Automatica Sinica,10(11),2124-2135. |
| MLA | Xiaoli Wang,et al."Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM".IEEE/CAA Journal of Automatica Sinica 10.11(2023):2124-2135. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。