Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming: A real industrial study

M. Kovačič, U. Župerl, M. Brezocnik
{"title":"Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming: A real industrial study","authors":"M. Kovačič, U. Župerl, M. Brezocnik","doi":"10.14743/apem2022.4.449","DOIUrl":null,"url":null,"abstract":"During the continuous casting of steel billets, several geometrical, inner and surface defects can occur due to the thermomechanical behavior during solidification. One of them is rhombic distortion (i.e. rhomboidity), which can lead to the occurrence of off-corner cracks and twisting of cast billets during further plastic deformation (i.e. rolling). Based on data of 2088 cast batches (64 different hypoeutectoid steel grades), 109,514 billets, produced from January 2022 to September 2022 in Štore Steel Ltd. (Slovenia), chemical composition (content of C, Si, Mn, S, Cr, Mo, Ni and V), casting parameters (average casting temperature, average difference between input and output cooling water, melt level, average cooling water flow and pressure in the first and second zone of secondary cooling) the linear regression and genetic programming were used in order to predict rhomboidity of continuously cast billets. The rhomboidity, in our case defined as relative diagonal difference, was determined using in-house developed computer vision system for measuring of rhomboidity. Based on the modelling results 9 batches (419 billets) of 42CrMos4 were cast in September 2022 with a 10 % higher water pressure in the first zone of secondary cooling (from 2.41 bar to 2.67 bar). The rhomboidity of continuously cast billets improved by 18.18 % (from 1.43 % to 1.21).","PeriodicalId":445710,"journal":{"name":"Advances in Production Engineering & Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Production Engineering & Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14743/apem2022.4.449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

During the continuous casting of steel billets, several geometrical, inner and surface defects can occur due to the thermomechanical behavior during solidification. One of them is rhombic distortion (i.e. rhomboidity), which can lead to the occurrence of off-corner cracks and twisting of cast billets during further plastic deformation (i.e. rolling). Based on data of 2088 cast batches (64 different hypoeutectoid steel grades), 109,514 billets, produced from January 2022 to September 2022 in Štore Steel Ltd. (Slovenia), chemical composition (content of C, Si, Mn, S, Cr, Mo, Ni and V), casting parameters (average casting temperature, average difference between input and output cooling water, melt level, average cooling water flow and pressure in the first and second zone of secondary cooling) the linear regression and genetic programming were used in order to predict rhomboidity of continuously cast billets. The rhomboidity, in our case defined as relative diagonal difference, was determined using in-house developed computer vision system for measuring of rhomboidity. Based on the modelling results 9 batches (419 billets) of 42CrMos4 were cast in September 2022 with a 10 % higher water pressure in the first zone of secondary cooling (from 2.41 bar to 2.67 bar). The rhomboidity of continuously cast billets improved by 18.18 % (from 1.43 % to 1.21).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用线性回归和遗传规划优化连铸方坯菱形:一个实际工业研究
在钢坯连铸过程中,由于凝固过程中的热力学行为,会产生一些几何、内部和表面缺陷。其中之一是菱形变形(即菱形),它会导致铸坯在进一步塑性变形(即轧制)时出现过角裂纹和扭转。根据2022年1月至2022年9月Štore steel Ltd.(斯洛文尼亚)生产的2088个铸造批次(64种不同的亚共析钢牌号),109,514个钢坯的数据,化学成分(C, Si, Mn, S, Cr, Mo, Ni和V的含量),铸造参数(平均铸造温度,输入和输出冷却水的平均差值,熔体水平,采用线性回归和遗传规划方法对连铸坯菱形度进行了预测。菱形,在我们的情况下定义为相对对角线差,是确定使用内部开发的计算机视觉系统测量菱形。根据建模结果,在2022年9月铸造了9批42CrMos4(419个方坯),在二冷第一个区域的水压提高了10%(从2.41 bar到2.67 bar)。连铸坯的菱形度提高了18.18%(从1.43%提高到1.21)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimizing smart manufacturing systems using digital twin IoT-based Deep Learning Neural Network (DLNN) algorithm for voltage stability control and monitoring of solar power generation Reduction of surface defects by optimization of casting speed using genetic programming: An industrial case study Incentive modeling analysis in engineering applications and projects with stochastic duration time Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: A new approach and case study in the automotive industry
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1