Cooling process on a run-out table by the simulation method

Suebsomran, Anan; Butdee, Suthep

doi:10.1016/j.csite.2013.07.002

Cited by 14 publications

(7 citation statements)

References 10 publications

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“…The quantification of appropriate surface heat fluxes is the overriding challenge in developing ROT cooling models. The numerical methods used to solve Equation (1) or its simplifications, that is, Equations (2) and (3), respectively, include finite element, [29][30][31][32] and finite difference methods. [28,33] Regardless of the employed numerical approach the calculated temperature evolution depends critically on the input in terms of material parameters and heat transfer coefficients.…”

Section: Temperature Modelsmentioning

confidence: 99%

Simulation of Runout Table Cooling

Guemo

Prodanovic

Militzer

2018

steel research int.

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Accelerated cooling on the runout table of hot mills has become a key technology to produce thermo‐mechanically controlled processed (TMCP) steel plates and strips. During runout table cooling austenite decomposition takes place and determines the final microstructure and, hence, the properties of the hot‐rolled steel. There is an increased tendency to produce higher strength TMCP steels with complex microstructures including bainite and martensite. To tailor these microstructures, it is required to carefully design runout table cooling paths and lower the cooling stop and coiling temperature, respectively, for producing flat products with homogeneous mechanical properties. Thus, simulation of runout table cooling is a crucial aspect of process modeling. In the present paper, the status of runout table simulation approaches is reviewed. In particular, the three boiling mechanisms of water cooling, that is, nucleate, transition, and film boiling are discussed. The development of appropriate heat transfer coefficients is rather mature for nucleate and film boiling, respectively. Modeling and controlling the transition boiling regime below the Leidenfrost temperature remains a challenge as heat extraction rates increase with decreasing steel temperature. The status of heat transfer simulations for transition boiling is thus discussed in detail. Currently, the proposed heat transfer correlations, while increasingly based on the underlying physics, still contain a number of empirical parameters that require tuning with experimental and/or mill data. The review is limited to information in the open literature while recognizing that a number of proprietary in‐house runout table cooling models exist that are developed either by equipment makers or steel companies to control accelerated cooling to lower cooling stop or coiling temperatures.

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Section: Temperature Modelsmentioning

confidence: 99%

Simulation of Runout Table Cooling

Guemo

Prodanovic

Militzer

2018

steel research int.

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“…This research is an extension of the previous research [1]. The extension of research is to study the influence of two kinds of linear algebra computation influent to the temperature of strip steel.…”

Section: Introductionmentioning

confidence: 97%

The Study of Cooling Process on Runout Table by Simulation Method

Suebsomran

Butdee

2013

ISRN Industrial Engineering

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This research aims to achieving the effective cooling parameter on the runout table (ROT) of strip steel in hot rolling process. The 2-dimensional transient heat conduction is developed including the external force convection and heat source due to translational motion. The material property, boundary, and initial condition are defined and bounded to model geometry. The strip velocity, cooling water temperature, and external fluid velocity are chosen for the influent parameters during cooling process at ROT. To find the optimality of cooling operating requirement, simulation study is conducted throughout this research. To reach the objective of optimal cooling consumption at ROT, temperature distribution in the strip steel during cooling governs by the form of heat transfer equation. To solve 2-dimensional transient heat conduction by numerical methods, the backward difference formula (BDF) applies to discretization of partial differentiation equation (PDE). The parallel sparse direct linear solver (PARDISO) and conjugate gradients method are comparatively applied to computation in linear algebraic equation. The simulation studies are divided into 12 case studies with three variations subjected to cooling conditions at ROT. From simulation results, the range of such three variations can be identified in relation to economic cooling system and desired quality of products.

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“…Cho et al (2014) developed a numerical model for simulating shape control during hot rolling and the consequences on phase transformations during ROT cooling [3]. Suebsomran and Butdee (4) developed a numerical model for simulating cooling on the ROT as a function of strip velocity, water flow rate and water temperature [4]. Ilmola et al (2021) developed a numerical model for simulating inter lap heat transfer and phase transformations to ferrite and martensite during coiling [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation method for hot rolling & run out table cooling parameters

Taylor

Sugiyama

Ishikawa

et al. 2021

Materials Science and Technology

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A new hot rolling & Run Out Table cooling simulator is constructed. The simulator permits continuous collation of process data including in-situ temperature measurement at numerous positions of the strip steel. Tensile properties and microstructural analysis of the hot rolled strip are correlated to the collated process data. A numerical model including phase transformation and latent heat evolution is constructed and calibrated against the experimental data. The resulting numerical model can be used to efficiently predict the optimal process parameters for manufacturing hot rolled strip steels, while the new hot rolling & Run Out Table cooling simulator can be used to efficiently validate the numerical simulation results before up-scaling to the industrial hot mill.

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Cooling process on a run-out table by the simulation method

Cited by 14 publications

References 10 publications

Simulation of Runout Table Cooling

Simulation of Runout Table Cooling

The Study of Cooling Process on Runout Table by Simulation Method

Evaluation method for hot rolling & run out table cooling parameters

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