Prediction of carbon concentration and ferrite volume fraction of hot-rolled steel strip during laminar cooling

Zhang, Y.T.; Wang, C.Z.; Li, D.Z.; Li, Y.Y.

doi:10.1016/s1006-7191(07)60035-0

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The commonly used heat conduction models include the second-order parabolic PDE and second-order hyperbolic PDE, which are usually used to analyze the temperature gradient variation in the direction of the length, the width, and the thickness, with three spatial dimensions of the steel strip [30,31]. Combining the research results [32,33], a twodimensional hyperbolic-distributed parameter model is expressed for the LCP. The PDE model is…”

Section: Thermodynamic Model Of Laminar Cooling Processmentioning

confidence: 99%

Modeling and Monitoring for Laminar Cooling Process of Hot Steel Strip Rolling with Time–Space Nature

2022

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The laminar cooling process is an important procedure in hot steel strip rolling. The spatial distribution and the drop curve of the strip temperature are crucial for the production and the quality of the steel strip. Traditionally, lumped parameter methods are often used for the modeling of the laminar cooling process, making it difficult to consider the impact of the variation of state variables and related parameters on the system, which seriously affect the stability of the steel strip quality. In this paper, a modeling and monitoring method with a time–space nature for the laminar cooling process is proposed to monitor the spatial variation of the strip temperature. Firstly, the finite-dimensional model is obtained by time–space separation to describe the temperature variation of the steel strip. Next, a global model is constructed by using the multi-modeling integration method. Then, a residual generator is designed to monitor the strip temperature where the statistics and the threshold are calculated. Finally, the superiority and reliability of the proposed method are verified by the actual-process data of the laminar cooling process for hot steel strip rolling, and different types of faults are detected successfully.

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