.png){kind=icon}
返回
Optimization of batch cooling crystallization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ces.2003.09.025.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A novel framework has been proposed for optimizing batch cooling crystallization operation. The optimization strategy is effective for highly non-linear and dynamic mathematical systems such as batch cooling crystallization systems. The proposed framework can implement constrained multivariable optimization without the tendency of being trapped into local optima. Variables that can be optimized simultaneously include the cooling profile, seed size, mass of seeds, batch time, initial and final temperatures. Optimizations have been implemented on both seeded and unseeded processes of the citric acid-water system. The optimized operation leads to improvements that otherwise cannot be attained by using conventional approaches. Optimization results also suggest that seeding can increase the flexibility of the operation. (C) 2003 Elsevier Ltd. All rights reserved.
Keyword:
optimization
simulated annealing
crystallization
nucleation
particulate processes
separations
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.3
论文数:
2.2W
被引数:
5.5W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏A performance evaluation of a coverage compensation based algorithm for wireless sensor networks
PREAI
分享收藏
查看更多内容