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A new method to predict mechanical properties for microalloyed steels via industrial data and mechanism analysis

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Journal of Iron and Steel Research International 2019年第3期26卷 230-241页

作者： wei-gang li wei Yang Yun-tao Zhao Guang Xu Xiang-hua liu Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan 430081Hubei China The State Key Laboratory of Refractories and Metallurgy Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of EducationWuhan University of Science and TechnologyWuhan 430081 HubeiChina Research Institute of Science and Technology Northeastern University Shenyang 110819 LiaoningChina

A new modeling method has been developed by combining industrial data and metallurgical *** method utilizes a series of models to predict the mechanical properties for microalloyed steels with high reliability and strong ***,the modeling process includes determining the influencing factors,cleaning the actual data,building sub-models for each single factor and for the interactions between the factors,verifying the reproducibility of the sub-models,and building the whole *** effects of alloying elements(such as C,Si,Nb,and V),precipitation processes of microalloying elements,and processing parameters(such as reheating temperature and coiling temperature)are quantitatively involved in the *** addition,the obtained models can quantitatively describe the effect of each factor on the mechanical properties,which is impossible by using traditional modeling methods.A practical modeling case is introduced,and the influencing mechanisms of the factors on the mechanical properties are *** results show that the prediction errors for the tensile strength and yield strength are 2.54%and 3.34%,respectively,which exhibits the advantages of high precision and strong adaptability of the model used to design and develop new steel grades,reduce the number of physical tests,and reduce the development cost of new products.

关键词： Additive model Mechanical property prediction Metallurgical mechanism Industrial data

Prediction model for mechanical properties of hot-rolled strips by deep learning

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Journal of Iron and Steel Research International 2020年第9期27卷 1045-1053页

作者： wei-gang li Lu Xie Yun-tao Zhao Zi-xiang li Wen-bo Wang Engineering Research Center of Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081HubeiChina Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081HubeiChina Hubei Province Key Laboratory of Systems Science in Metallurgical Process Wuhan University of Science and TechnologyWuhan 430081HubeiChina

The prediction of the mechanical properties of hot-rolled strips is a very complex,highly dimensional and nonlinear problem,and the published models might lack reliability,practicability and ***,a new model was proposed for predicting the mechanical properties of hot-rolled strips by deep ***,the one-dimensional numerical data were transformed into two-dimensional data for expressing the complex interaction between the influencing ***,a new convolutional network was proposed to establish the prediction model of tensile strength of hot-rolled strips,and an improved inception module was introduced into this network to abstract features from different *** comparative experiments were carried out to find the optimal network structure and its ***,the prediction experiments were carried out on different models to evaluate the performance of the new convolutional network,which includes the stepwise regression,ridge regression,support vector machine,random forest,shallow neural network,Bayesian neural network,deep feed-forward network and improved LeNet-5 convolutional neural *** results show that the proposed convolutional network has better prediction accuracy of the mechanical properties of hot-rolled strips compared with other models.

关键词： Deep learning Convolutional neural network Mechanical property Hot-rolled strip

Thermal Crown Model and Shifting Effect Analysis of Work Roll in Hot Strip Mills

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Journal of Iron and Steel Research International 2015年第9期22卷 777-784页

作者： Shui-xuan CHEN wei-gang li Xiang-hua liU School of Mechanical and Automotive Engineering Xiamen University of Technology College of Information Science and Engineering Wuhan University of Science and Technology Research Institute of Science and Technology Northeastern University

Considering the effect of work roll shifting on roll temperature field,a finite difference method of PR format for roll temperature field was presented,which can meet the requirements of accuracy and speed of online *** step-by-step accumulation method was used to simulate the roll temperature field and thermal crown,and the evolution of roll thermal crown in a rolling campaign was *** then,the effects of strip width,rolling rhythm and work roll shifting on roll thermal crown were *** is found that work roll shifting can disperse the thermal expansion of the roll body especially the edge to make roll thermal contour *** effect of work roll shifting on roll thermal crown is mainly concentrated in regions around twice of roll shifting stroke,and the change range of roll thermal crown is±30μm or so in the same roll body location.

关键词： hot strip mill work roll temperature field thermal crown work roll shifting

Research progress and intelligent trend of accurate modeling of rolling force in metal sheet

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Journal of Iron and Steel Research International 2023年第11期30卷 2111-2121页

作者： Shun-hu Zhang Yi Zhang wei-gang li Wen-hao Tian Yan li li-zhi Che Shagang School of Iron and Steel Soochow UniversitySuzhou215021JiangsuChina Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and TechnologyWuhan430081HubeiChina

The rolling force model is the basis for reasonable selection of rolling equipment and optimization of rolling process,and the establishment of an accurate mathematical model as well as doing the corresponding parameter analysis has been the focus of research in this field for many *** modeling methods of the rolling force and their research progress were introduced,the main methods of which are the theoretical analysis,the finite element simulation,the artificial neural network modeling,the hybrid modeling of theory and neural network,as well as the hybrid modeling of finite element and neural ***,the application examples of rolling force models in thickness control,strip crown control,and schedule optimization were presented,and an outlook on the new directions of future development was made,including establishing new type of hybrid models,solving the black box problem,and realizing the multi-objective optimization accounting for some special requirements.

关键词： Rolling force Parameter optimization Theoretical analysis Finite element simulation Neural network

Friction Estimation and Roll Force Prediction during Hot Strip Rolling

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Journal of Iron and Steel Research International 2016年第12期23卷 1268-1276页

作者： wei-gang li Chao liU Ning FENG Xi CHEN Xiang-hua liU College of Information Science and Engineering Wuhan University of Science and Technology Research Institute of Science and Technology Northeastern University

A mathematical model of friction coefficient was proposed for the roll force calculation of hot-rolled strips. The online numerical solving method of the roll force calculation formula based on the proposed friction model was developed and illustrated by the practical calculation case. Then, the friction coefficient during hot strip rolling was estimated from the measured roll force by force model inversion. And then, the expression of friction model was pro posed by analyzing the calculation process of stress state coefficient, and the model parameters were determined by the shared parameter multi-model nonlinear optimization method. Finally, the industrial experiments demonstrated the feasibility and effectiveness of the related models. The accuracy of the new roll force model based on the built friction model was much higher than that of the traditional Sims model, and it could be applied in the online hot rolling process control.

关键词： hot rolling roll force friction coefficient soft measurement multi objective optimization

Modeling deformation resistance for hot rolling based on generalized additive model

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Journal of Iron and Steel Research International 2017年第12期24卷 1177-1183页

作者： wei-gang li Chao liu Yun-tao Zhao Bin liu Xiang-hua liu School of Information Science and Engineering Wuhan University of Science and TechnologyWuhan 430081HubeiChina Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education WuhanUniversity of Science and TechnologyWuhan 430081HubeiChina Research Institute of Science and Technology Northeastern UniversityShenyang 110819LiaoningChina

A model of deformation resistance during hot strip rolling was established based on generalized additive ***,a data modeling method based on generalized additive model was *** included the selection of dependent variable and independent variables of the model,the link function of dependent variable and smoothing functional form of each independent variable,estimating process of the link function and smooth functions,and the last model ***,the practical modeling test was carried out based on a large amount of hot rolling process *** integrated variable was proposed to reflect the effects of different chemical compositions such as carbon,silicon,manganese,nickel,chromium,niobium,*** integrated chemical composition,strain,strain rate and rolling temperature were selected as independent variables and the cubic spline as the smooth function for *** modeling process of deformation resistance was realized by SAS software,and the influence curves of the independent variables on deformation resistance were obtained by local scoring *** interesting phenomena were found,for example,there is a critical value of strain rate,and the deformation resistance increases before this value and then *** results confirm that the new model has higher prediction accuracy than traditional ones and is suitable for carbon steel,microalloyed steel,alloyed steel and other steel grades.

关键词： Hot rolling Deformation resistance Mathematical model Generalized additive model

Generation mechanism of quarter buckle in hot-rolled temper rolling

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Journal of Iron and Steel Research International 2022年第10期29卷 1619-1632页

作者： Hui li Guan-yu Zhou An-rui He Zhi-hong Zhang Chi-huan Yao Chao liu Jian-wei Zhao wei-gang li Jian Shao Institute of Engineering Technology University of Science and Technology BeijingBeijing100083China Handan Iron and Steel Group Co. Ltd.Handan056015HebeiChina Engineering Research Centre for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and TechnologyWuhan430081HubeiChina

To reveal the generation mechanism of the quarter buckle in the process of hot-rolled temper rolling,the elastic–plastic finite element method is used to calculate the deformation of the roll and the strip during the temper *** change of the cross section of the strip and the distribution of the longitudinal stress are analysed under different bending forces to obtain the boundary conditions of the quarter *** generation of the quarter buckle is further analysed from the bending and contact flattening of the roll system and the elastic recovery of the strip after *** found that the quarter buckle is closely related to the high-order distribution of the contact flattening between the work roll and the strip and is less affected by the bending deformation of the roll and the contact flattening between the ***,a new work roll contour of the locally variable crown is proposed to change the distribution of contact flattening between the work roll and the *** is verified through theoretical calculations and industrial applications that the new contour can effectively improve the quarter buckle.

关键词： Quarter buckle Contact flattening Roll contour Finite element method Hot-rolled temper rolling

Reference device for calibration of radon exhalation rate measuring instruments and its performance

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Nuclear Science and Techniques 2023年第8期34卷 131-141页

作者： wei-gang li De-Tao Xiao Zheng-Zhong He Xiang-Yuan Deng Shou-Kang Qiu School of Nuclear Science and Technology Hunan Provincial Key Laboratory of RadonUniversity of South ChinaHengyang 421001China

Environmental radon emanates from the exhalation and release of soil,rocks,and building *** radon contamination tracing and radon pollution prevention and control require the measurement of the radon exhalation rate on media *** measurements of the radon exhalation rate cannot be achieved without regular calibration of the measuring instrument with a high-performance reference *** this study,a reference device for the calibration of radon exhalation rate measuring instruments was developed using a diffusion solid radon source with a high and stable radon emanation coefficient,an integrated diffusion component composed of a plasterboard and a high-density wooden board,an air pressure balance device,a radon accumulation chamber,and a support *** uniformity and stability of the reference device were evaluated using the activated carbon-γspectrum and open-loop method,respectively,to measure the radon exhalation *** reference device achieved different radon exhalation rates by using different activities of diffusion solid radon *** measurement points were regularly selected on the radon exhalation surface of the reference device,and the uniformity of the radon exhalation rate exceeded 5%.The short-term stability of the reference device was better than 5%under different environmental conditions and was almost unaffected by the ambient air pressure,environmental temperature,and relative humidity.

关键词： Radon exhalation rate Stability Uniformity High-density wooden board Plasterboard

A network flow algorithm to position tiles for LAMOST

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Research in Astronomy and Astrophysics 2009年第11期9卷 1277-1284页

作者： Guang-wei li and gang Zhao National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China National Astronomical Observatories Chinese Academy of Sciences

We introduce the network flow algorithm used by the Sloan Digital Sky Survey （SDSS） into the sky survey of the Large sky Area Multi-Object fiber Spectroscopic Telescope （LAMOST） to position tiles. Because fibers in LAMOST＇s focal plane are distributed uniformly, we cannot use SDSS＇ method directly. To solve this problem, firstly we divide the sky into many small blocks, and we also assume that all the targets that are in the same block have the same position, which is the center of the block. Secondly, we give a value to limit the number of the targets that the LAMOST focal plane can collect in one square degree so that it cannot collect too many targets in one small block. Thirdly, because the network flow algorithm used in this paper is a bipartite network, we do not use the general solution algorithm that was used by SDSS. Instead, we give our new faster solution method for this special network. Compared with the Convergent Mean Shift Algorithm, the network flow algorithm can decrease observation times with improved mean imaging quality. This algorithm also has a very fast running speed. It can distribute millions of targets in a few minutes using a common personal computer.

关键词： methods data analysis -- methods statistical