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High-temperature creep constitutional model of Q460E steel and effect of creep on bulging deformation of continuous casting slab

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Journal of Iron and Steel Research International 2018年第11期25卷 1123-1130页

作者： Long Guo Yun-huan Sui Xing-zhong Zhang National Engineering Research Centre for Equipment and Technology of Cold Strip Rolling Yanshan University Qinhuangdao 066004HebeiChina Hesteel Group tangsteel company Tangshan 063016HebeiChina

Mechanical properties and creep behavior of Q460E continuous casting slab were studied by means of uniaxial tensile tests on a Gleeble-3800 thermomechanical simulator from 1000 to 1100 ℃.The high-temperature creep constitutional equation was derived based on experimental *** parameters in the equation were calculated by using the regression analysis inverse-estimation *** experimental curves in the primary and secondary creep stages are fitted well.A three-dimensional elastic-plastic and creep finite element model was proposed in order to investigate the bulging deformation of slab and the bulging deformation at the beginning position of bending segment on the slab continuous casting machine was computed *** results indicate that the maximum bulging deformation appears at the geometric center of the *** maximum value of the bulging deformation obtained by the elastic-plastic analysis is 1.301 *** the creep effect,the deformation increases to 1.827 mm which is about 1.4 times the value obtained by the elastic-plastic *** calculation of buleing deformation usin2 the elastic-plastic creed model is more reliable and/iccurate.

关键词： Steel mechanical property High temperature creep behavior Creep constitutional equation Bulging deformation Steel continuous casting

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TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods

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Journal of Iron and Steel Research International 2024年第1期31卷 174-194页

作者： Tian-yi Xie Cai-dong Zhang Quan-lin Zhou Zhi-qiang Tian Shuai Liu Han-jie Guo Material Technology Research Institute Hesteel GroupShijiazhuang050023HebeiChina tangsteel company Hesteel GroupTangshan063611HebeiChina School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

Mathematical(data-driven)models based on state-of-the-art(SOTA)machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature,sample,and carbon(TSC)test,including temperature of molten steel(TSC-Temp),carbon content(TSC-C)and phosphorus content(TSC-P),which made prepa-ration for eliminating the TSC *** maximize the prediction accuracy of the proposed approach,various models with different inputs were implemented and compared,and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the *** number of tabular features(hot metal information,scrap,additives,blowing practices,and preset values)was expanded,and time series(off-gas profiles and blowing practice curves)that could reflect the entire steelmaking process were introduced as ***,the latest machine learning models(LightGBM,CatBoost,TabNet,and NODE)were used to make predictions with tabular features,and the best coefficient of determination R^(2)values obtained for TSC-P,TSC-C and TSC-Temp predictions were 0.435(LightGBM),0.857(Cat-Boost)and 0.678(LightGBM),respectively,which were higher than those of classic models(backpropagation and support vector machine).Then,making predictions was performed by using SOTA time series regression models(SCINet,DLinear,Informer,and MLSTM-FCN)with original time series,SOTA image regression models(NesT,CaiT,ResNeXt,and GoogLeNet)with resized time series,and the proposed Concatenate-Model and Parallel-Model with both tabular features and time *** optimization and comparisons,it was finally determined that the Concatenate-Model with MLSTM-FCN,SCINet and Informer as feature extractors performed the best,and its R^(2)values for predicting TSC-P,TSC-C and TSC-Temp reached 0.470,0.858 and 0.710,*** field test accuracies for TSC-P,TSC-C and TSC-Temp were 0.459,0.850 and 0.685,respectively.A related importance analysis was carri

关键词： BOF steelmaking In-blow prediction TSC test Machine learning Deep learning Field application

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Quantitative evaluation of multi-process collaborative operation in steelmaking–continuous casting sections

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International Journal of Minerals,Metallurgy and Materials 2021年第8期28卷 1353-1366页

作者： Jian-ping Yang Qing Liu Wei-da Guo Jun-guo Zhang State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China Engineering Research Center of MES Technology for Iron&Steel Production Ministry of EducationBeijing 100083China Laiwu iron and Steel Group Yinshan Section Steel Co. Ltd.Jinan 271104China Hesteel Group tangsteel company Tangshan 063000China

The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking–continuous casting sections(SCCSs). However, this evaluation is difficult since it relies on an in-depth understanding of the operating mechanism of SCCSs, and few existing methods can be used to conduct the evaluation, due to the lack of full-scale consideration of the multiple factors related to the production operation. In this study, three quantitative models were developed, and the multiprocess collaborative operation level was evaluated through the laminar-flow operation degree, the process matching degree, and the scheduling strategy availability degree. Based on the evaluation models for the laminar-flow operation and process matching levels, this study investigated the production status of two steelmaking plants, plants A and B, based on actual production data. The average laminar-flow operation(process matching) degrees of SCCSs were obtained as 0.638(0.610) and 1.000(0.759) for plants A and B, respectively, for the period of April to July 2019. Then, a scheduling strategy based on the optimization of the furnace-caster coordinating mode was suggested for plant A. Simulation experiments showed higher availability than the greedy-based and manual strategies. After the proposed scheduling strategy was applied,the average process matching degree of the SCCS of plant A increased by 4.6% for the period of September to November 2019. The multi-process collaborative operation level was improved with fewer adjustments and interruptions in casting.

关键词： steelmaking–continuous casting multi-process collaborative operation quantitative evaluation model laminar-flow operation process matching scheduling strategy

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HAZ Characterization and Mechanical Properties of QP980-DP980 Laser Welded Joints

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Chinese Journal of Mechanical Engineering 2021年第4期34卷 262-275页

作者： Junliang Xue Peng Peng Wei Guo Mingsheng Xia Caiwang Tan Zhandong Wan Hongqiang Zhang Yongqiang Li School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China R&D Center TANGSTEEL CompanyHBIS GroupTangshan 063016China Shandong Provincial Key Laboratory of Special Welding Technology Harbin Institute of Technology at WeihaiWeihai 264209China Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China Electrical Engineering Department Changchun Automobile Industry InstituteChangchun 130013China

The QP980-DP980 dissimilar steel joints were fabricated by fiber laser *** weld zone(WZ)was fully martensitic structure,and heat-affected zone(HAZ)contained newly-formed martensite and partially tempered martensite(TM)in both *** supercritical HAZ of the QP980 side had higher microhardness(~549.5 Hv)than that of the WZ due to the finer martensite.A softened zone was present in HAZ of QP980 and DP980,the dropped microhardness of softened zone of the QP980 and DP980 wasΔ21.8 Hv andΔ40.9 Hv,*** walls and slip bands were likely formed at the grain boundaries with the increase of strain,leading to the formation of low angle grain boundaries(LAGBs).Dislocation accumulation more easily occurred in the LAGBs than that of the HAGBs,which led to significant dislocation interaction and formation of *** electron back-scattered diffraction(EBSD)results showed the fraction of LAGBs in sub-critical HAZ of DP980 side was the highest under different deformation conditions during tensile testing,resulting in the failure of joints located at the sub-critical HAZ of DP980 *** QP980-DP980 dissimilar steel joints presented higher elongation(~11.21%)and ultimate tensile strength(~1011.53 MPa)than that of DP980-DP980 similar steel joints,because during the tensile process of the QP980-DP980 dissimilar steel joint(~8.2%and 991.38 MPa),the strain concentration firstly occurred on the excellent QP980 ***,Erichsen cupping tests showed that the dissimilar welded joints had the lowest Erichsen value(~5.92 mm)and the peak punch force(~28.4 kN)due to the presence of large amount of brittle martensite in WZ and inhomogeneous deformation.

关键词： QP980 steel DP980 steel Fiber laser welding Microstructure evolution Tensile properties Formability

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In-situ observation of microcrack initiation and damage nucleation modes on the HAZ of laser-welded DP1180 joint

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Journal of Materials Science & Technology 2023年第17期148卷 138-149页

作者： Junliang Xue Wei Guo Jin Yang Mingsheng Xia Guang Zhao Caiwang Tan Zhandong Wan Jiaxuan Chi Hongqiang Zhang School of Mechanical Engineering and Automation Beihang UniversityBeijing100191China School of Materials Engineering Shanghai University of Engineering ScienceShanghai201620China R&D Center TANGSTEEL CompanyHBIS GroupTangshan063016China Shandong Provincial Key Laboratory of Special Welding Technology Harbin Institute of Technology at WeihaiWeihai264209China Department of Mechanical Engineering Tsinghua UniversityBeijing100084China School of Materials Science and Engineering Beihang UniversityBeijing100191China

In-situ SEM can intuitively observe the changes in microstructure and microcrack initiation during the deformation process of the *** this paper,the microstructural evolution,mechanical properties,and damage nucleation modes of DP1180 laser welded joints were systematically discussed by the trans-mission electron microscope(TEM),focused ion beam(FIB),and in-situ tensile *** precipitation of carbides and disappearance of dislocations tangles deteriorated the mechanical properties of tempered martensite in the sub-critical heat affected zone(SCHAZ),which caused its microhardness slightly de-creased(∼27 HV)and also called the softened *** joints fractured in the SCHAZ during the tensile and Erichsen cupping tests and microcracks initiated from the tempered martensite,while the microc-rack initiation of base material(BM)occurred at the ferrite/martensite *** dominant damage nucleation mode of the joint was tempered martensite cracking,and that of BM was ferrite/martensite interface decohesion during tests.

关键词： In-situ tensile test DP steel Laser welded Damage nucleation modes

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唐钢1#热镀锌及退火两用连续生产线控制系统的技术创新与应用

唐钢1#热镀锌及退火两用连续生产线控制系统的技术创新与应用

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2008年河北省轧钢技术与学术年会

作者：幺玉林韩继征马卫山王长林唐山钢铁股份有限公司冷轧薄板厂唐山钢铁股份有限公司自动化公司 Cold rolling plant of tangsteel Automatization company oftangsteel

唐钢冷轧薄板厂1#镀锌线是一条生产镀锌板材生产线,我厂针对该生产线的实际情况,提出生产退火板带产品的方案,课题组经过调研和实验,对工艺流程、机械设备、控制系统进行技术创新,成功地研发出生产镀锌和退火板带产品的两用生产线。本... 详细信息

唐钢冷轧薄板厂1#镀锌线是一条生产镀锌板材生产线,我厂针对该生产线的实际情况,提出生产退火板带产品的方案,课题组经过调研和实验,对工艺流程、机械设备、控制系统进行技术创新,成功地研发出生产镀锌和退火板带产品的两用生产线。本文简述了实现退火功能控制系统的技术创新和对生产线控制系统功能进行了完善和优化。

关键词：热镀锌退火控制系统人机界面HMI

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