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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.7 P.932-939

http://doi.org/10.1631/jzus.A0720046


Coupled models of heat transfer and phase transformation for the run-out table in hot rolling


Author(s):  Shui-xuan CHEN, Jun ZOU, Xin FU

Affiliation(s):  State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   junzou@zju.edu.cn

Key Words:  Run-out table (ROT), Cooling process, Heat transfer, Phase change, Material properties


Shui-xuan CHEN, Jun ZOU, Xin FU. Coupled models of heat transfer and phase transformation for the run-out table in hot rolling[J]. Journal of Zhejiang University Science A, 2008, 9(7): 932-939.

@article{title="Coupled models of heat transfer and phase transformation for the run-out table in hot rolling",
author="Shui-xuan CHEN, Jun ZOU, Xin FU",
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publisher="Zhejiang University Press & Springer",
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%A Xin FU
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%DOI 10.1631/jzus.A0720046

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T1 - Coupled models of heat transfer and phase transformation for the run-out table in hot rolling
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A1 - Jun ZOU
A1 - Xin FU
J0 - Journal of Zhejiang University Science A
VL - 9
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0720046


Abstract: 
Mathematical models are been proposed to simulate the thermal and metallurgical behaviors of the strip occurring on the run-out table (ROT) in a hot strip mill. A variational method is utilized for the discretization of the governing transient conduction-convection equation, with heat transfer coefficients adaptively determined by the actual mill data. To consider the thermal effect of phase transformation during cooling, a constitutive equation for describing austenite decomposition kinetics of steel in air and water cooling zones is coupled with the heat transfer model. As the basic required inputs in the numerical simulations, thermal material properties are experimentally measured for three carbon steels and the least squares method is used to statistically derive regression models for the properties, including specific heat and thermal conductivity. The numerical simulation and experimental results show that the setup accuracy of the temperature prediction system of ROT is effectively improved.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[2] Han, H.N., Lee, J.K., Kim, H.J., 2002. A model for deformation, temperature and phase transformation behavior of steels on ROT in hot strip mill. Journal of Materials Processing Technology, 128(1-3):216-225.

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[5] Prieto, M.M., Ruiz, L.S., Menendez, J.A., 2001. Thermal performance of numerical model of hot strip mill runout table. Ironmaking and Steelmaking, 28(6):474-480.

[6] Serajzadeh, S., 2003. Prediction of temperature distribution and phase transformation on the ROT in the process of hot strip rolling. Applied Mathematical Modelling, 27(11):861-875.

[7] Serajzadeh, S., 2006. Prediction of temperature variations and kinetics of austenite phase change on the ROT. Materials Science Engineering A, 421(1-2):260-267.

[8] Singh, A., Singh, I.V., Prakash, R., 2006. Numerical solution of temperature dependent thermal conductivity problems using a meshless method. Numerical Heat Transfer Part A: Applications, 50(2):125-145.

[9] Sun, C.G., Han, H.N., Lee, J.K., 2002. A finite element model for the prediction of thermal and metallurgical behavior of strip on ROT in hot rolling. ISIJ International, 42(4):392-400.

[10] Tan, X., Conway, P.P., Sarvar, F., 2005. Thermo-mechanical properties and regression models of alloys: AISI 305, CK 60, CuBe2 and Laiton MS 63. Journal of Materials Processing Technology, 168:152-163.

[11] Zhang, Y.T., Li, D.Z., Li, Y.Y., 2006. Modeling of austenite decomposition in plain carbon steels during hot rolling. Journal of Materials Processing Technology, 171(2):175-179.

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