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作 者:蔡清秀[1] 李超[1] 崔福祥[1] 赵文涛[1] 李海峰[1] Cai Qingxiu;Li Chao;Cui Fuxiang;Zhao Wentao;Li Haifeng(Bayuquan Branch of Angang Steel Co.,Ltd.,Yingkou 115007,Liaoning,China)
机构地区:[1]鞍钢股份有限公司鲅鱼圈钢铁分公司,辽宁营口115007
出 处:《鞍钢技术》2020年第3期19-22,共4页Angang Technology
摘 要:为了解决SPHC钢种屈服强度不合格率高的问题,在大量生产数据的基础上,应用SPSS软件Logistic回归模型分析该钢种屈服强度与残余元素之间的相关性后得出结论,屈服强度与钢中Ni、Mo残量具有显著相关关系。进一步应用决策树(CRT)模型分析认为,钢中Ni元素应控制在0.017 95%以下,Mo元素应控制在0.004 95%以下。生产中据此控制Ni和Mo元素含量后,SPHC钢种屈服强度不合格率由12.34%降至平均1.71%。In order to solve the problem on the high failure rate in testing yield strength of SPHC steel,the correlation between yield strength and residual elements of the steel was analyzed by using Logistic Regression Model of SPSS software based on massive production data and then it was concluded that the yield strength has a significant correlation with the residual elements such as Ni and Mo in the steel.After a further analysis by applying the Classification Regression Tree(CRT)model,it was considered that Ni and Mo elements in the steel should be controlled less than 0.01795%and 0.00495%respectively.Based on the conclusion above,the failure rate of the yield strength of SPHC steel was reduced to 1.71%on average from 12.34%in production.
关 键 词:SPHC钢种 屈服强度 残余元素 LOGISTIC回归模型 CRT
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