基于细菌觅食优化算法的5052铝合金变形抗力模型优化  

The deformation resistance model optimization of 5052 aluminum alloy based on Bacterial Foraging Optimization Algorithm

作　　者：车海军[1,2] 马凤艳[1,2] 王万宏 许爽[1,2] 杨景明[1,2] 

机构地区：[1]国家冷轧板带装备及工艺工程技术研究中心,秦皇岛066004 [2]燕山大学工业计算机控制工程河北省重点实验室,秦皇岛066004 [3]河南明泰铝业股份有限公司,河南451200

出　　处：《轻金属》2013年第7期61-65,共5页Light Metals

基　　金：国家冷轧板带装备及工艺工程技术研究中心开放课题资助;河北省工业计算机控制工程重点实验室开放课题资助

摘　　要：根据河南某1+4铝热连轧厂的大量现场实测轧制数据,利用最小二乘法对5052系铝合金变形抗力模型进行了回归,并用细菌觅食优化群算法对变形抗力模型的参数进行了优化。最后,将细菌觅食优化算法优化后的变形抗力模型与最小二乘回归出的变形抗力模型分别应用于轧制力的预报。仿真结果表明用细菌觅食优化算法优化后的变形抗力模型应用于轧制力预报时误差更小,在进行轧制力预报时选择细菌觅食优化算法优化后的变形抗力模型。According to lots of measured actual data from one factory of 1 ＋ 4 aluminum hot continuous rolling, the least square method was applied to the linear regression of deformation resistance model of aluminum alloy 5052 ,and then Bacterial Foraging Optimization Algorithm was used to optimize the in- fluencing parameters of the model ,finally the rolling forces were respectively predicted by BFOA and the liner regression. The results showed that the model optimized by BFOA had less error than the least square method when applying prediction rolling forces.

关 键 词：铝热连轧 轧制力 变形抗力模型 最小二乘法 细菌觅食优化算法 

分 类 号：TG339[金属学及工艺—金属压力加工]