基于蚁群算法的连铸工艺二次冷却参数优化

2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI:10.1109/ICINIS.2010.19

Xiaojie Zhang

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引用次数: 4

摘要

二次冷却对坯料的裂纹和其他缺陷有相当大的影响。本文的目的是开发一种优化算法，用于求解不同浇注速度下的最佳二冷却水流量。为此，提出了一种基于蚁群系统(ACS)算法的优化算法，以解决在一定冶金标准和一定工艺约束下的二冷却水分配最优控制问题。该优化方法由连铸过程仿真器、ACS算法和总成本函数相结合组成。利用所开发的优化算法确定冷却参数的最优设置，可以在改善表面温度分布方面取得较好的效果。

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Secondary Cooling Parameters Optimization in Continuous Casting Process Based on Ant Colony System Algorithm

The secondary cooling has a considerable influence on cracks and other defects of the billets. The aim of this paper is to develop a optimization algorithm used for solving the optimal secondary cooling water flow rate under different casting speeds. For this purpose, an optimization algorithm based on ant colony system(ACS) algorithm was developed for solving an optimal control of secondary cooling water distribution according to certain metallurgical criteria and some technological constraints. The optimization method consists of the simulator of continuous casting process, ACS algorithm linked with aggregate cost function. The use of the developed optimization algorithm for determining optimal setting of cooling parameters demonstrate that better results can be attained in improving the surface temperature distribution.

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2010 Third International Conference on Intelligent Networks and Intelligent Systems

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