Overall Thermal Analysis of Hot Plate/Sheet Rolling

Kiuchi, Manabu; Ye, Jun; Wakamatsu, Eiji

doi:10.1016/s0007-8506(07)62930-8

Cited by 12 publications

(4 citation statements)

References 1 publication

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“…Many scholars have obtained the formula of heat transfer coefficient through the analysis and regression calculation of a large amount of data, which is expressed by Eq. ( 6) [19,20].…”

Section: (2)descaling Water Heat Transfermentioning

confidence: 99%

Three-dimensional temperature field distribution of thin medium plate during finishing rolling and its effect on shape control

Ma,

Li,

Kong

et al. 2024

Preprint

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In order to investigate the relationship between temperature distribution and shape control for thin medium plate, based on the production of a 3800 mm finishing mill, a high-precision temperature field prediction model of the rolled piece was established using the control volume heat balance method. The model is used to calculate the temperature field in the thickness, width, and length directions of the piece, and the results are used to analyze its effect on the shape control. By comparing the calculated results with the measured data, it can be seen that the deviation of the calculated results of this model was within 1%. Firstly, considering the large temperature difference in the thickness direction of the piece, an optimization coefficient of each pass for rolling force calculation was proposed to improve the accuracy. Secondly, the influence of the temperature difference in the width direction on the wedge shape of the piece is quantitatively analyzed, and the control standard of the temperature difference within 20 °C was proposed. Thirdly, the influence of the temperature difference in the length direction on the shape control of the piece is quantitatively analyzed, and the tail edge wave problem was solved by increasing the rolling temperature and limiting the length of the piece. The above research has been applied in production, and the shape quality of different specifications of plate has been improved.

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“…Many scholars have obtained the formula of heat transfer coefficient through the analysis and regression calculation of a large amount of data, which is expressed by Eq. ( 6) [19,20].…”

Section: (2)descaling Water Heat Transfermentioning

confidence: 99%

Three-dimensional temperature field distribution of thin medium plate during finishing rolling and its effect on shape control

Ma,

Li,

Kong

et al. 2024

Preprint

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“…The development of such a tool, taking into account the features of the equipment of the 1680 and the 1700 rolling mills, will allow to evaluate their technical capabilities and expand the assortment, including those produced using the Thermo-Mechanical Control Process (ТМСР) technology. The simulation of the hot deformation temperature conditions has been extensively studied by the authors of [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The proposed solutions are aimed both at specific sets of rolling equipment, and laboratory samples of the mills.…”

Section: Introductionmentioning

confidence: 99%

“…The important point noted in works [2,17,18] is the need to obtain accurate models for designing a controlled rolling technology for microalloyed steel grades. Also, the importance of accurate temperature determination was noted by the authors [3,4,15,[18][19][20][21] in order to ensure the required cooling rate, structure, mechanical properties and other quality characteristics of rolled products. It should be noted that in works [2-4, 8, 22, 23] the authors studied discrete deformation processes without reference to specific production complexes.…”

Section: Introductionmentioning

confidence: 99%

Improvement of the Method for Calculating the Metal Temperature Loss on a Coilbox Unit at The Rolling on Hot Strip Mills

Kukhar¹,

Kurpe²,

Klimov³

et al. 2018

IJET

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The paper improves the calculation methodology of metal temperature loss during hot rolling process at continuous mills. The proposed methodology can be implemented at hot strip mills with various in-line equipment arrangements within the temperature ranges appropriate for processes simulation of hot rolling, normalized rolling and Thermo-Mechanical Control Process of carbon and microalloyed steels. It provides engineering analysis of unaccounted temperature losses of feed by means of radiation and convection, which, in the first time, through the time factor, additionally accounts for strip motion speed factors, roller table length and feed length, and also length of rolls contact arc with metal. The accountability of the above mentioned factors in the various compositions depending on the rolling method increases the engineering simulation accuracy, ensures the versatility of the elaborated method with respect to different types of mills and makes the scientific novelty of the study. The equations were developed to calculate the metal temperature loss while coiling at the CoilBox unit. The equations accounts for the influence on the temperature of strip length, coiling and uncoiling speed, strip thickness, inside radius of the reeling coil, the time the feed rests being coiled. The improved model was verified based on actual data.

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“…It has been demonstrated during the last two decades that prediction of the strip temperature can be made far more accurately on the basis of either finite difference (FD) process models [1][2][3][4][5][6][7][8][9][10] or finite element (FE) process models [11][12][13][14][15][16][17][18][19][20][21][22] than on the basis of elementary models which inherently involve many simplifying assumptions. It has also been demonstrated that as far as the strip temperature in the bite zone is concerned, perhaps the best choice in terms of prediction accuracy is a rigorously formulated FD or FE process model capable of dealing with the strong interdependence between the thermal behaviour of the strip, mechanical behaviour of the strip, and the thermal behaviour of the work rolls, which may be summarised as follows.…”

Section: Introductionmentioning

confidence: 99%

Precision online model for prediction of strip temperature in hot strip rolling

Lee¹,

Kwak²,

Sun³

et al. 2004

Ironmaking & Steelmaking

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Investigated via a series of finite element (FE) process simulation is the effect of diverse process variables on some selected non-dimensional parameters characterising the thermomechanical behaviour of the roll and strip in hot strip rolling. Then, on the basis of these parameters, online models are derived for precise prediction of the temperature changes occurring in the bite zone as well as in the interstand zone in a finishing mill. The prediction accuracy of the proposed models is examined through comparison with predictions from a FE process model.

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Overall Thermal Analysis of Hot Plate/Sheet Rolling

Cited by 12 publications

References 1 publication

Three-dimensional temperature field distribution of thin medium plate during finishing rolling and its effect on shape control

Three-dimensional temperature field distribution of thin medium plate during finishing rolling and its effect on shape control

Improvement of the Method for Calculating the Metal Temperature Loss on a Coilbox Unit at The Rolling on Hot Strip Mills

Precision online model for prediction of strip temperature in hot strip rolling

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