宝钢2030冷轧带钢板形识别和统计系统  

Recognition and Evaluation System for Strip Flatness on 2030 mm Cold Tandem Mills

作　　者：戴江波[1] 吴文彬[2] 张清东[1] 王俊飞[2] 王慧[3] 

机构地区：[1]北京科技大学机械工程学院,北京100083 [2]宝山钢铁股份有限公司,上海2000941 [3]中国人民公安大学,北京102600

出　　处：《北京科技大学学报》2003年第6期572-574,583,共4页Journal of University of Science and Technology Beijing

基　　金：国家自然科学基金(No.598351700);国家"九五";攻关项目(No.95-527-01-02-04)

摘　　要：为了实现对每卷带钢板形质量的定量评价,应用模糊分类理论构建了板形实测应力的板形缺陷(浪形)模式识别方法,提出了整卷带钢全部各帧应力值的识别结果的板形评价方法,开发了轧后带钢板形质量的识别和统计系统。实践表明该系统能在线及时提供每卷带钢板形定量的实物质量指标。In order to accomplish the quantitative evaluation of strip profile, a flatness recognition and evaluation system was proposed, which combines a pattern recognition model based on the fuzzy classification principle and a flatness evaluation model by multi-grade statistics. This system was tested by the data measured from 2030 mm cold tandem mills and a good stage-by-stage result was achieved.

关 键 词：冷轧带钢 板形识别 统计系统 定量评价 模糊分类 

分 类 号：TG335.12[金属学及工艺—金属压力加工] TG334.9