Study on Aluminum Hot Rolling Model of Friction Coefficient Based on Improved Fish Swarm Algorithm
SUN Hao1, YANG Jing-ming1,HU Zi-yu1, CHE Hai-jun1, HAN Le2
1. Key Lab of Ind Computer Control Eng of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. MCC Tiangong Group Corporation Limited, Tianjin 300308, China
Abstract：In the level 2 process automation of hot rolling,there is a problem of low forecast accuracy of friction coefficient in the deformation zone. A quantitative relationship between the oil film thickness, the rolling temperature and the coefficient are analyzed. The model of friction coefficient which is more suitable for the scene of the rolling is established through the improved artificial fish swarm algorithm. The above model is applied to the aluminum strip machine and the results show that the new model improved the soft measurement precision of the friction coefficient, the stability of rolling and played a reference role in the other model base on the model of the friction coefficient.
孙浩,杨景明,呼子宇,车海军,韩乐. 基于改进鱼群算法的铝热连轧摩擦系数模型研究[J]. 计量学报, 2016, 37(1): 53-55.
SUN Hao, YANG Jing-ming,HU Zi-yu, CHE Hai-jun, HAN Le. Study on Aluminum Hot Rolling Model of Friction Coefficient Based on Improved Fish Swarm Algorithm. Acta Metrologica Sinica, 2016, 37(1): 53-55.
2016, Vol. 37 
