带钢表面粗糙度在线检测技术最新进展
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1. 宝山钢铁股份有限公司规划与科技部上海2019001;2. 宝山钢铁股份有限公司研究院上海2019001;3. 宝钢新日铁汽车板有限公司上海201900

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TG333;TN06

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Review of surface roughness online measurement techniques of steel strip
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Affiliation:

1. Strategy & Science Technology Department, Baoshan Iron & Steel Co. Ltd., Shanghai 201900, China; 2. Research Institute, Baoshan Iron & Steel Co. Ltd., Shanghai 201900, China; 3. BaosteelNSC Automotive Steel Sheets Co. Ltd., Shanghai 201900, China

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    摘要:

    表面粗糙度作为冷轧带钢重要的一项表面质量指标,其在线检测方法研究已成为高品质汽车板带产品生产的关键技术之一。传统的带钢表面粗糙度检测手段触针法存在离线测试、损伤表面、响应速度慢等问题,使得基于光学作用机理的光切法、光干涉法、散斑法、散射法等在线实时检测技术得到关注并发展迅速。近年来,带钢表面粗糙度的在线检测技术在原理推导、模型构建、样机实验、分析校准等方面取得了长足的进展,但冷轧带钢平整作业的轧辊控制(如辊形、运行速度等)与表面粗糙度在线检测精度之间的矛盾仍然是实时测控的难点问题。从带钢表面粗糙度在线检测的实际需求出发,分析理论研究成果,比较相应检测设备的特点和适应性,提出有效解决实时检测难点问题的可行方案,并对国内外带钢表面粗糙度在线检测的理论与实践发展趋势进行展望。

    Abstract:

    Surface roughness of coldrolled steel strip is an important surface quality parameter, so the online measurement of surface roughness has become the key technology for high quality car plate and strip production. The traditional measurement of strip surface roughness uses offline test method, which will do harm to the steel surface and slow down the response speed. To solve the problem, novel methods based on optical mechanism, such as light cutting method, optical interferometry, speckle method and scattering method, are proposed for the online realtime measurement. In recent years, the strip surface roughness online measurement has made considerable progress in theory, model building, experiment and analysis of calibrations, but the contradiction between the roll of temper rolling operation control (such as roller shape, running speed) and the precision of online detection is still a difficult task for real time measurement and control. In view of the actual demand of surface roughness online measurement, the research results in theory are analyzed and the characteristics and adaptability of the corresponding measurement equipment are compared in this paper. And we put forward the feasible schemes to effectively solve the problem of realtime measurement and give an outlook of the theory of strip surface roughness online measurement and its engineering practice development trend.

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瞿雪元,顾廷权,方百友.带钢表面粗糙度在线检测技术最新进展[J].电子测量与仪器学报,2017,31(4):493-500

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  • 在线发布日期: 2017-07-26
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