An analytical model for the prediction of strip temperatures in hot strip rolling

Kim, Jaeboo; Lee, Junghyeung; Hwang, S.M.

doi:10.1016/j.ijheatmasstransfer.2008.10.013

Cited by 34 publications

(25 citation statements)

References 16 publications

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“…From this depth to the roll center, the temperature does not evolve any more. The obtained temperature profiles confirm the very localized heated zone on the roll and are in agreement with results obtained using the finite element method and available measurements [13,19,28]. However, the maximum temperature at the roll surface in the contact arc depends on the roll speed (contact time), the coefficient of heat transfer, the roll diameter (contact angle) and the thermo-physical properties of the roll material.…”

Section: Number Of Terms In Fourier Seriessupporting

confidence: 89%

An analytical model for the prediction of hot roll temperatures in a hot rolling process

Velay

Michrafy

2016

Materialwissenschaft Werkst

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Temperature variations in the hot roll during a hot rolling process were analysed by solving heat conduction equations for boundary conditions using an analytical method. The analysis was conducted in a steady‐state regime, taking into account the effects of process parameters such as the contact surface, roll velocity and various cooling boundary conditions. Assuming the periodicity of the process, the development of a solution in the Fourier series was employed to solve the governing equations. The temperature and its gradient distributions in the roll depth were analytically expressed according to the process parameters. The accuracy of the predicted results was examined through comparison with predictions presented in the literature (finite element solutions and measurements). Results showed that an increase in the rolling speed leads to a shorter contact time, which decreases the temperature field in the work‐roll.

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Section: Number Of Terms In Fourier Seriessupporting

confidence: 89%

An analytical model for the prediction of hot roll temperatures in a hot rolling process

Velay

Michrafy

2016

Materialwissenschaft Werkst

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“…Figure 6 shows the schematic representation of arrangement for temperature measurement. The strip temperature is estimated as proposed in Kim et al (2009) and summarized in Appendix. Alternatively, one can measure as many parameters as convenient for better reliability.…”

Section: Inverse Estimation Of Parametermentioning

confidence: 99%

An Efficient Inverse Method for Determining the Material Parameters and Coefficient of Friction in Warm Rolling Process

Yadav

Singh

Dixit

2015

Advances in Material Forming and Joining

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In the present work, the material parameters for power law and the coefficient of friction are obtained using inverse analysis by measuring exit strip temperature and slip. The procedure makes use of a finite element model for deformation and an analytical method for the estimation of temperature. A heuristic optimization algorithm is used for this purpose that minimizes the error between the measured and estimated flow stresses. The method is verified by conducting some numerical experiments.

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“…The P P and f P are estimated by a finite element based code [6] developed to analyze flat rolling process. One dimensional equation is solved by eigenfunction method described by Kim et al [7]. The solution of Eq.…”

Section: Direct Model For the Estimation Of Temperaturementioning

confidence: 99%

“…From the exit of roll bite to sensor, the heat transfer is governed by The solution of the one dimensional heat conduction problem is obtained by the method of separation of variables. The temperature distribution is obtained as [7] …”

Section: Direct Model For the Estimation Of Temperaturementioning

confidence: 99%

Comparison of the Performance of Lubricants in Rolling Based on Temperature Measurement

Yadav¹,

Singh²,

Joshi³

et al. 2011

AIP Conference Proceedings

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Lubricants are used in rolling process mainly to reduce the friction. Thus, the measurement of friction can give the idea about the performance of a lubricant. However, the measurement of friction by no means is an easy task. In the past, various methods have been employed for measuring the friction in rolling. Some of these methods require damaging of the surface of the rolls. The methods based on the measurement of roll force, roll torque and the slip can be easily used, but their reliability is dependent on reliability of measuring devices and the mathematical model. A possible way of measuring the average coefficient of friction in rolling is to measure the exit temperature of the strip. It can be easily done by means of temperature sensors. In this work, an inverse method of estimating the approximate value of friction coefficient is proposed based on the exit temperature measurement. The inverse model makes use of a direct model of temperature determination, which is based on finite element analysis and analytical models available in the literature. For a given exit temperature, the inverse model searches the appropriate value of friction coefficient using golden section search algorithm. The methodology is tested by carrying out a number of numerical experiments on the cold strip rolling. Some preliminary experiments have been conducted. It is planned to carry out more experiments in future. Although the direct model used in this work is highly approximate, the entire methodology displays its high potentiality in an industrial setting. In any case, the methodology can compare two lubricants with respect to their ability to reduce the coefficient of friction, even if the estimated coefficient of friction may be approximate.

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An analytical model for the prediction of strip temperatures in hot strip rolling

Cited by 34 publications

References 16 publications

An analytical model for the prediction of hot roll temperatures in a hot rolling process

An analytical model for the prediction of hot roll temperatures in a hot rolling process

An Efficient Inverse Method for Determining the Material Parameters and Coefficient of Friction in Warm Rolling Process

Comparison of the Performance of Lubricants in Rolling Based on Temperature Measurement

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