1400F铝带轧机板形缺陷识别处理  

Defect Shape Recognition for 1400F Aluminum Strip Mill

作　　者：徐兴龙[1] 孙志辉[1] 李宣[1] 

机构地区：[1]北京科技大学机械工程学院,北京100083

出　　处：《机电产品开发与创新》2006年第6期123-125,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：要对铝带材的板形进行有效的控制,必须对实际的板形进行识别,以判断当前带材板形的缺陷模式,才能有效的利用轧机装备的板形控制装置对板形实施控制。本文通过最小二乘法,建立板形缺陷的识别理论,并根据实际数据和现场应用,证明了该理论的可行性。In order to control the shape of aluminum strip effectively, it is essential to recognize the actual shape, judge the defect model of the strip so as to control the shape by some control devices valid in time. This paper proposes the defect shape recognition theory based on least squares. The experiment is done with the actual production data and good effects are obtained in practical application. The results show that the proposed theory is feasible.

关 键 词：板形控制 缺陷识别 最小二乘法 

分 类 号：TG335.56[金属学及工艺—金属压力加工]