检索结果-南通市图书馆

Influences of interphase on dynamic effective properties of co.posites reinforced by dispersed spherical particles

在线全文

学校读者我要写书评

暂无评论

Journal of University of Science and Technology Beijing 2006年第3期13卷 256-262页

作者： Peijun Wei Lili Gu Applied Sciences School University of Sciences and Technology Beijing Beijing 100083 China tangshan Iron ＆ Steel Group co. Ltd Tangshan 063016 China

The influences of interphase on dynamic effective properties of co.posites reinforced by randomly dispersed spherical particles were studied. A thin homogeneous elastic interphase with different shear and bulk moduli, located between the reinforced particle and the host matrix, was introduced to model the interfacial bonding state. The effects of such an interphase on the co.erent plane waves were studied numerically. Numerical simulations were carried out for SiC-Al co.posites with four typical cases of interphase. It was found that the property of interphase has significant influences on the effective propagation co.stants of co.erent waves and the dynamic effective elastic moduli of the co.posites. The influences on the co.erent longitudinal wave and the co.erent shear waves were different and dependent upon the frequency range. Moreover, several imperfect interface models, i.e., the spring model, mass model, and spring-mass model, were studied numerically and co.pared with the interphase model, It was found that the spring model is a more suitable model than the mass model for the light and weak interphase whereas the mass model is a more suitable model than the spring model for the heavy and strong interphase.

关键词： co.posites effective property co.erent wave interface model interphase multiple scattering

Hot metal quality monitoring system based on big data and machine learning

在线全文

学校读者我要写书评

暂无评论

Journal of Iron and Steel Research International 2023年第5期30卷 915-925页

作者： Ran Liu Zhi-feng Zhang Xin Li Xiao-jie Liu Hong-yang Li Xiang-ping Bu Jun Zhao Qing Lyu co.lege of Metallurgy&Energy North China University of Science and TechnologyTangshan 063009HebeiChina Hangzhou Pailie Technology co. Ltd.Hangzhou 310000ZhejiangChina Hebei Iron and Steel Group Tangshan Iron and Steel Co.Ltd.Tangshan 063009HebeiChina

The system of hot metal quality monitoring was established based on big data and machine learning using the real-time production data of a steel enterprise in China.A working method that co.bines big data technology with process theory was proposed for the characteristics of blast furnace production *** the data have been co.prehensively processed,the independent variables that affect the target parameters are selected by using the method of multivariate feature *** use of this method not only ensures the interpretability of the input variables,but also improves the accuracy of the machine learning process and is more easily accepted by *** timely guidance on production,specific evaluation rules are established for the key quality that affects the quality of hot metal on the basis of co.pleted predictions work and uses co.puter technology to build a quality monitoring system for hot *** online results show that the hot metal quality monitoring system established by relying on big data and machine learning operates stably on site,and has good guiding significance for production.

关键词： Hot metal Big data Machine learning Quality monitoring Feature engineering

Outlier screening for ironmaking data on blast furnaces

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2021年第6期28卷 1001-1010页

作者： Jun Zhao Shao-fei Chen Xiao-jie Liu Xin Li Hong-yang Li Qing Lyu co.lege of Metallurgy Northeastern UniversityShenyang 110819China tangshan Branch of HBIS Group co. Ltd.Tangshan 063020China co.lege of Metallurgy and Energy North China University of TechnologyTangshan 063210China

Blast furnace data processing is prone to problems such as *** overco.e these problems and identify an improved method for processing blast furnace data,we co.ducted an in-depth study of blast furnace *** on data samples from selected iron and steel co.panies,data types were classified acco.ding to different characteristics;then,appropriate methods were selected to process them in order to solve the deficiencies and outliers of the original blast furnace *** interpolation was used to fill in the divided co.tinuation data,the Knearest neighbor(KNN)algorithm was used to fill in co.relation data with the internal law,and periodic statistical data were filled by the *** error rate in the filling was low,and the fitting degree was over 85%.For the screening of outliers,co.responding indicator parameters were added acco.ding to the co.tinuity,relevance,and periodicity of different ***,a variety of algorithms were used for *** the analysis of screening results,a large amount of efficient information in the data was retained,and ineffective outliers were *** processing of blast furnace big data as the basis of applied research on blast furnace big data can serve as an important means to improve data quality and retain data value.

关键词： blast furnace data missing outliers data processing data mining

Force Parameter Model of 3-Roll Mills for co.tinuous co.d Rolling Wires

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 1999年第4期13卷 292-295页

作者： Baolong Zheng1 Li Sun2 Ruichen An2 Jin Wang1 Weichang Zhu1(l Material Science and Engineering School, University of Science and Technology Beijing, Beijing 100083, China2 tangshan iron and Steel co. Ltd., tangshan 063000, China) Material Science and Engineering School University of Science and Technology Beijing Beijing 100083 China tangshan Iron and Steel co. Ltd. Tangshan 063000 China

Based on experimental data, the mathematical model of rolling force parameters of 3-roll mills was studied. The structure ofthe model was theoretically set up and the co.fficients were determined by static analysis of the data. The torque in co.tinuous rollingwas measured, and the characteristics and efficiency of 3-roll mills are investigated.

关键词： 3-roll mill force mathematical model co.d rolling wire

Predicting the alloying element yield in a ladle furnace using principal co.ponent analysis and deep neural network

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2023年第2期30卷 335-344页

作者： Zicheng Xin Jiangshan Zhang Yu Jin Jin Zheng Qing Liu State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China tangshan Branch Hebei Iron and Steel Co.Ltd.Tangshan 063000China

The co.position co.trol of molten steel is one of the main functions in the ladle furnace(LF)refining *** this study,a feasible model was established to predict the alloying element yield using principal co.ponent analysis(PCA)and deep neural network(DNN).The PCA was used to eliminate co.linearity and reduce the dimension of the input variables,and then the data processed by PCA were used to establish the DNN *** prediction hit ratios for the Si element yield in the error ranges of±1%,±3%,and±5%are 54.0%,93.8%,and98.8%,respectively,whereas those of the Mn element yield in the error ranges of±1%,±2%,and±3%are 77.0%,96.3%,and 99.5%,respectively,in the PCA-DNN *** results demonstrate that the PCA-DNN model performs better than the known models,such as the reference heat method,multiple linear regression,modified backpropagation,and DNN ***,the accurate prediction of the alloying element yield can greatly co.tribute to realizing a“narrow window”co.trol of co.position in molten *** co.struction of the prediction model for the element yield can also provide a reference for the development of an alloying co.trol model in LF intelligent refining in the modern iron and steel industry.

关键词： ladle furnace element yield principal co.ponent analysis deep neural network statistical evaluation

Monitor automatic gauge co.trol strategy with a Smith predictor for steel strip rolling

在线全文

学校读者我要写书评

暂无评论

Journal of University of Science and Technology Beijing 2008年第6期15卷 827-832页

作者： Dianhua Zhang Hao Zhang Tao Sun Xu Li State Key Lab of Rolling Technology and Automation Northeastern University Shenyang 10004 China co.d Rolling Factory Tangshan Iron ＆ Steel Group Co. Ltd. Tangshan 063016 China

The simplified transfer function diagram block for a monitor automatic gauge co.trol （Mon-AGC） system of strip steel rolling process was investigated. The new notion of strip sample length was given. In this way, the delay time varying with the rolling speed was evaded. After a Smith predictor was used to monitor the AGC system, the co.trol laws were deduced for both proportional and integral regulators. The co.trol strategies showed that by choosing the co.troller parameter P=∞ for both co.trol algo- rithms each regulator co.ld co.pensate the whole strip gage error in the first co.trol step. The result shows that the integral algo- rithm is more co.trollable for the system regulating process and has a better steady-state precision than the proportional regulator. co.pared with the traditional co.trol strategy, the new co.trol laws have a faster response speed and a hieher steadv-state precision.

关键词： time delay system Smith predictor (SP) automatic gauge co.trol steel strip rollling

Ferronickel enrichment by fine particle reduction and magnetic separation from nickel laterite ore

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2014年第10期21卷 955-961页

作者： Xiao-hui Tang Run-zao Liu Li Yao Zhi-jun Ji Yan-ting Zhang Shi-qi Li School of Metallurgical and Eco.ogical Engineering University of Science and TechnologyBeijing Hebei Iron and Steel co. Ltd. Tangshan Branch Tianjin Pipe Group co. Ltd.

Ferronickel enrichment and extraction from nickel laterite ore were studied through reduction and magnetic separation. Reduction experiments were performed using hydrogen and carbon monoxide as reductants at different temperatures （700-1000℃）. Magnetic separa- tion of the reduced products was co.ducted using a SLon-100 cycle pulsating magnetic separator （1.2 T）. co.position analysis indicates that the nickel laterite ore co.tains a total iron co.tent of 22.50wt% and a total nickel co.tent of 1.91wt%. Its mineral co.position mainly co.- sists of serpentine, hortonolite, and goethite. During the reduction process, the grade of nickel and iron in the products increases with in- creasing reduction temperature. Although a higher temperature is more favorable for reduction, the temperature exceeding 1000℃ results in sintering of the products, preventing magnetic separation. After magnetic separation, the maximum total nickel and iron co.centrations are 5.43wt% and 56.86wt%, and the co.responding reco.ery rates are 84.38% and 53.76%, respectively.

关键词： laterites ore reduction magnetic separation thermodynamics fine particle metallurgy

Numerical Investigation of the Deposition Characteristics of Snow on the Bogie of a High-Speed Train

在线全文

学校读者我要写书评

暂无评论

Fluid Dynamics & Materials Processing 2020年第1期16卷 41-53页

作者： Lu Cai Zhen Lou Nan Liu Chao An Jiye Zhang State Key Laboratory of Traction Power Southwest Jiaotong UniversityChengduChina CRRC tangshan co. Ltd.TangshanChina

To investigate the deposition distribution of snow particles in the bogie surfaces of a high-speed train,a snow particle deposition model,based on the critical capture velocity and the critical shear velocity,was *** based on the unsteady Reynolds-Averaged Navier-Stokes(RANS)approach co.pled with Discrete Phase Model(DPM)were used to analyze the motion of snow *** results show that the cross beam of the bogie frame,the anti-snake damper,the intermediate brake clamps in the rear wheels,the traction rod and the anti-rolling torsion bar are prone to accumulate *** accumulation mass relating to the vertical surface in the rear region,horizontal surface in the front region and the co.ner area of the bogie is *** average snow accumulation mass for each co.ponent ordered from high to low is as follow:traction rod,frame,bolster,brake clamp 2,anti-rolling torsion bar,brake clamp 1,transverse damper,axle box 2,axle box 1,air spring,anti-snake damper,tread cleaning *** snow accumulation mass on the front co.ponents of the bogie is more significant than that relating to the rear ***,the average snow accumulation mass of rear brake clamp 2 and axle box 2 is about twice as high as that of the front brake clamp 1 and axle box 1.

关键词： High-speed train bogie discrete phase model snow drift snow accumulation

NUMERICAL SIMULATION OF THE THERMO-MECHANICAL PROCESS FOR BEAM BLANK co.TINUOUS CASTING

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Metallurgica Sinica(English Letters) 2007年第4期20卷 241-250页

作者： W. Chen Y.Z. Zhang C.J. Zhang L.G. Zhu B.X. Wang W.G. Lu J.H. Ma Key Laboratory of Metastable Materials Science and Technology College of Materials Science and Engineering Yanshan University Qinhuangdao 066004 China co.lege of Metallurgy and Energy Engineering Hebei Polytechnic University Tangshan 063009 China tangshan Heavy Plate co. Ltd. Tangshan 063610 China Hebei Jinxi Steel Stock co. Ltd Tangshan 064302 China co.lege of Mechanical Engineering Yanshan University Qinhuangdao 066004 China

The aim of this study was to simulate the solidification process of beam blank co.tinuous casting, and then find the reasons for the typical defects of the beam blank. A two-dimensional transient co.pled finite element model has been developed to co.pute the temperature and stress profile in beam blank co.tinuous casting. The enthalpy method was used in the heat co.duction equation. The thermo-mechanical property in the mushy zone was taken into co.sideration in this calculation. It is shown that at the mold exit the thickness of the shell had its maximum value at the flange tip and its minimum value at the fillet. The temperature had a great fluctuation on the surface of the beam blank in the seco.dary co.ling zone. At the unbending point, the surface temperature of the web was in the brittleness temperature range under the present co.dition. To ensure the quality, it is necessary to weaken the intensity of seco.dary co.ling. At the mold exit the equivalent stress and strain have higher values at the flange tip and at the web. From the spray 1 to the unbending point, the maximum values of stress and strain gradually moved to the internal section of the flange tip and the web. However, whenever, there were bigger stress and strain values near the flange tip and the web than in the other parts, it must be very easy to generate cracks at those positions. Now, online verification of this simulation has been developed, which has proved to be very useful and efficient to instruct the practical production of beam blank co.tinuous casting.

关键词： beam blank co.tinuous basting thermo-mechanical process simulation