Thermal camber model for hot and cold rolling

Sauer, Wolfgang

doi:10.1002/srin.199605452

Cited by 8 publications

(3 citation statements)

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“…Work roll wear not only worsens the strip shape, and also declines the performance of mills on shape control. As many factors affect work roll wear in the hot rolling and these factors influence each other, quantifying the impact of these factors on roll wear is important and difficulty [1,2]. According to a literature study presented in a PhD thesis by Meng 1994 at least 182 wear equations have been published [3].…”

Section: Introductionmentioning

confidence: 99%

Model development of work roll wear in hot strip mill

Liu

Guan

Wang

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. This paper, based on the analysis of the main factors(specific roll force, mean roll surface temperature, irregular edge wear and contact arc length) affecting roll wear, designed a new work roll wear model, the test data shows that the model can more accurately reflect the work roll wear, can be on-line prediction of work roll wear. The roll wear curve, including constant wear and irregular edge wear, presents a box shape, and the reasons also are showed in this paper. The top roll wear and bottom roll wear in the same mill are inconsistent, and the reasons are also analysed in this paper. Results show that the construction of the work roll mathematical model accords with the general law of work roll wear and tear; it can more accurately forecast roll wear online. IntroductionIn the hot rolling, physical models for rolling mills have been intensively developed in recent years. Work roll wear not only worsens the strip shape, and also declines the performance of mills on shape control. As many factors affect work roll wear in the hot rolling and these factors influence each other, quantifying the impact of these factors on roll wear is important and difficulty [1,2]. According to a literature study presented in a PhD thesis by Meng 1994 at least 182 wear equations have been published [3]. Referring to Meng, available equations are so confusing that just few designers can use any of them to predict product lifetime with confidence [4]. Thus it is not strange that the author has found just a few models of interest in the year of 2003. However the works by Archard [5,6] shall especially be mentioned. Most models are empirical and only few influential parameters are taken into account.In this paper, the main aim of the work is to find an empirical work roll wear model structure suitable for hot strip roll finishing mills. On the basis of this structure a new model is developed that takes more influential parameters into consideration than the presently used on-line model. The equation includes the influence of specific roll force, mean roll surface temperature, irregular edge wear, the number of roll rotation and contact arc length. The roll wear curve, including constant wear and irregular edge wear, presents a box shape, and the reasons also are showed in this paper. Analyzed the influence factors of roller wear is inconsistent in the same roll. Results show that the construction of the work roll mathematical model accords with the general law of work roll wear and tear, it can more accurately forecast roll wear online.

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Section: Introductionmentioning

confidence: 99%

Model development of work roll wear in hot strip mill

Liu

Guan

Wang

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…For a long time, the shape process control system in hot strip rolling had been imported from abroad [3,4]. In recent years, the many domestic units had done a lot of work on the strip shape process control system, and had been developed process control systems used successfully in the production practice [5,6]. But there are still many problems needing further research in the shape process control.…”

Section: Introductionmentioning

confidence: 99%

Development of Shape Process Control System in Hot Strip Mill

Liu¹,

Guan²,

Wang³

2017

Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017

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Abstract:In the process of hot strip rolling, accurate and efficient shape process control system is an important factor to ensure strip with good shape. This paper, based on advanced control concept and optimization mathematical model, aimed at Jingtang 1580 hot strip rolling project, developed advanced shape control system. Among them, the HPCS process control platform and HPFC shape control system is designed, they are the basis of the shape control system; the control strategy based on the buckling limits is optimized ,it is the key to shape control system; the mathematical model is the core of strip shape control system. The system and related research achievement has been applied in Jingtang 1580 hot strip rolling project, in the thickness of 1.2 mm to 12.7 mm strip production, shape control achieved good results.

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“…Consequently, numerous mathematical models have been proposed for the prediction of the thermal behavior of the work roll and resulting roll thermal profile. [1][2][3][4][5][6][7][8][9] Conclusions and implications derived from these models were valuable aids for achieving better process design and control. However, modeling for the prediction of roll thermal profile is a difficult task, in which interaction between the thermo-mechanical behavior of the strip and that of the work roll, transient nature, and the three dimensional aspects of the problem should be considered.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Roll Thermal Profile in Hot Strip Rolling by the Finite Element Method.

Sun

Hwang

2000

ISIJ International

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An, FE-based, off-line model is presented for the precise prediction of roll thermal profile. The validity of the model is demonstrated through comparison with measurements. Also demonstrated is its capability of reflecting the effect of diverse process variables.KEY WORDS: finite element method; off-line model; roll thermal profile.roll) and strip (JS-SS400) and other process variables selected for process simulation were shown in Table 1. The thermal and mechanical boundary conditions and the FE meshes were illustrated in Fig. 2 and in Fig. 3, respectively. Surface Temperatures of the Roll and StripInvestigated was the transient thermal behavior of the roll-strip system during a very short period of time after initiation of rolling of the first strip. The roll initial temperature, as well as the initial temperature of the strip in the bite region before initiation of rolling, was assumed to be 20°C. It was found that in 0.4 sec after initiation of rolling, the strip surface temperatures at the roll-strip interface as well as the core temperatures of the strip in the bite region almost reached the steady-state temperatures, as shown in Fig. 4. Considering that normally the rolling time would be much longer than 0.4 sec, the present result indicated that ISIJ International, Vol. 40 (2000), No. 8 795© 2000 ISIJ the transient strip temperature distributions may be approximated by the steady-state temperature distributions. It was seen from Fig. 5(a) that the same conclusion may be drawn for the surface temperatures of the roll at the roll-strip interface. However, except at the roll-strip interface, the transient roll surface temperatures were far from reaching the steady-state, as shown in Fig. 5(b). Roll Main Body TemperaturesIllustrated in Fig. 6 was the gradual increase of the roll main body temperatures as rolling proceeded. The temperature distributions in the roll was remarkably axi-symmetric, except in a thin, circular layer encompassing the roll main body where the temperature gradient in the radial direction was very large, especially at the roll-strip interface. The thickness of the thin layer was found to be less than 5 mm or 1.2 % of the roll radius, indicating that its effect on overall roll thermal expansion could be neglected. Also revealed was that the roll main body temperatures, predicted at the completion of rolling of the fifth strip, were only a fraction of the steady-state roll main body temperatures (which were about 65°C), which may be attributed to periodic roll idling. An Off-line Model for the Prediction of RollThermal Profile Prediction of Roll Main Body TemperaturesOn the basis of the characteristics of the transient thermal behavior revealed by process simulation with the integrated FE process model, a simplified approach was developed for the prediction of roll main body temperatures, ISIJ International, Vol. 40 (2000), No. 8 which was described in the following:At any moment during rolling, net heat flux coming into the roll through the entire roll arc at a given plane perpendicu...

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Thermal camber model for hot and cold rolling

Cited by 8 publications

References 1 publication

Model development of work roll wear in hot strip mill

Model development of work roll wear in hot strip mill

Development of Shape Process Control System in Hot Strip Mill

Prediction of Roll Thermal Profile in Hot Strip Rolling by the Finite Element Method.

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