东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (8): 1123-1127.DOI: -

• 材料与冶金 • 上一篇    下一篇

不锈钢冷连轧板带的表面粗糙度建模

陈金山,李长生   

  1. (东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳110819)
  • 收稿日期:2013-03-04 修回日期:2013-03-04 出版日期:2013-08-15 发布日期:2013-03-22
  • 通讯作者: 陈金山
  • 作者简介:陈金山(1988-),男,安徽滁州人,东北大学博士研究生;李长生(1964-),男,黑龙江七台河人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51174057,51274062);国家高技术研究发展计划项目(2012AA03A503).

Modeling for Surface Roughness of Stainless Steel Strip in Tandem Cold Rolling

CHEN Jinshan, LI Changsheng   

  1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China.
  • Received:2013-03-04 Revised:2013-03-04 Online:2013-08-15 Published:2013-03-22
  • Contact: CHEN Jinshan
  • About author:-
  • Supported by:
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摘要: 针对不锈钢冷连轧生产工艺的特点,在引入转印率和遗传因子概念的基础上,通过深入的理论分析,推导出带钢表面粗糙度理论模型.首先通过SUS430不锈钢冷轧润滑实验进行表面粗糙度研究,定量分析压下率、来料厚度、带钢变形抗力和乳化液工艺参数等对转印率和遗传因子的影响,给出了轧辊粗糙度衰减函数方程,并对末机架入口带钢表面粗糙度进行近似求解,最终建立了不锈钢冷连轧成品板面粗糙度数学模型,并将其应用到冷连轧生产实践中.统计结果表明,粗糙度模型计算值与实测值的相对误差小于634%,该模型具有较高的精度和较好的泛化能力.

关键词: 不锈钢, 冷连轧, 转印率, 遗传因子, 带钢表面粗糙度, 粗糙度建模

Abstract: According to the characteristics of stainless steel in tandem cold rolling and based on transfer rate and genetic factor, a set of models about surface roughness of stainless steel strips were derived theoretically. First, the surface roughness of the SUS430 stainless steel strip was studied through lubrication experiments in the cold rolling process. The effects of main factors, such as reduction ratio, initial thickness, deformation resistance, and emulsion technological parameters, etc., on the transfer rate and genetic factor were analyzed quantitatively, with attenuation function equations developed for describing surface roughness. The surface roughness of strips at the entry of last mill was calculated approximately. Ultimately, a mathematical model of stainless steel strip surface roughness was built which was applied to the practical production. A great number of statistical results show that the relative deviation between the roughness values calculated from the model proposed and the experimental data was less than 634%, which means that the model has relative high accuracy and good generalization ability.

Key words: stainless steel, tandem cold rolling, transfer rates, genetic factor, strip surface roughness, roughness modeling

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