基于BP神经网络的带钢最大卷取力矩预测研究  

The Research of the Maximum Rolling Torque the Steel Trip Based on the BP Neutral Networks

作　　者：王代梅 李友荣[2] 鲁光涛[2] 

机构地区：[1]广东省岭南工商第一技师学院,广东广州510800 [2]武汉科技大学,湖北武汉430000

出　　处：《机械设计与制造》2013年第7期47-49,共3页Machinery Design & Manufacture

基　　金：教育部博士点基金(200804880002)

摘　　要：地下卷取机是热轧带钢生产中的重要设备,在卷取一卷带钢过程中,卷取力矩是不断变化的,其最大卷取力矩与所卷取的带钢材质、规格和卷取温度以及工艺参数等诸多因素有关。只有当其最大卷取力矩小于卷取机的承载能力时,卷取机才能正常生产。利于BP神经网络技术基于某热轧厂卷取各种材质规格的实测最大卷取力矩,建立了带钢最大卷取力矩与卷取带钢的材质、规格和卷取温度等参数之间的拓扑结构关系,给出了卷取高强度厚带钢时的最大卷取力矩的预测计算公式,从而为开发利用该卷取机的最大工作潜能提供了理论依据。Downcoiler is one of the important equipments in hot rolling.The working torque of the steel trip is changing during the process of rolling,and its maximum torque is relevant to the material,the size and temperature.Only when the maximum torque of the steel trip is less than the maximum working torque of the downcoiler,can the machine works normally.Based on the actual maximum working torque,it establishes the topology relationship between the maximum torque of the trip and the material,the size and the temperature of the trip,and gives the equating for estimating the maximum torque of the trip when it rolls the thin,wide and high-duty steel.

关 键 词：卷取机 最大卷取力矩 神经网络 预测 

分 类 号：TH16[机械工程—机械制造及自动化] TG333.24[金属学及工艺—金属压力加工]