Experimental study of long product cooling in hot rolling

Horský, Jaroslav; Raudenský, Miroslav; Kotrbáček, Petr

doi:10.1016/s0924-0136(98)00191-5

Cited by 14 publications

(11 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is considered that the strip is cooled by water jets impinging on the strip surface. The heat transfer from the strip surface is a complex phenomenon [11], and Horsky et al [12]), therefore, represented this water jet and the strip surface interaction by an effective heat transfer coefficient. Although the present formulation is similar to that of reference [5], the present work reports a detailed parametric investigation of the effects of different factors on the temperature distribution and the cooling rate.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…In this regard, Hauksson et al [11] experimentally calculated the surface heat flux from the measured temperature, which depends on the water flow rate and the subcooling. Horsky et al [12] determined the heat transfer coefficient for water spray cooling, and it was found that the heat transfer coefficient depends on the strip and the water jet velocities. In the presence of the variable heat transfer coefficient, the cooling process of the hot moving strip is reasonably complex and an emerging research area nowadays.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Thermal Behavior of a Hot Moving Steel Strip Under Multi-Cooling Jets

Barman

Mukhopadhyay

et al. 2014

Heat Transfer Engineering

View full text Add to dashboard Cite

In the present work, the thermal behavior during cooling of a steel strip is predicted numerically. Multiple jets of pressurized water are considered for cooling purposes; they impinge on the surface of the metal strip. The cooling of the metal strip is represented by a steady-state energy conservation equation, where an effective heat transfer coefficient is considered based on jet and strip velocities for jet-surface heat interaction. The numerical simulation is performed using a finite-volume method, and distribution of temperature within the strip is predicted. Subsequently, the effect of strip velocity on the temperature distribution and corresponding cooling rate is studied.

show abstract

Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal Behavior of a Hot Moving Steel Strip Under Multi-Cooling Jets

Barman

Mukhopadhyay

et al. 2014

Heat Transfer Engineering

View full text Add to dashboard Cite

show abstract

“…The main influence on the microstructure evolution processes in metals has temperature, cooling rate and cooling pattern [9] [10]. The desired rate of cooling is achieved by water sprays, water curtains or water jets applied to the hot metal surface [11]. The water flow rate and pressure can be changed in a wide range and it results in a very different heat transfer from the cooled metal to the cooling water.…”

Section: Introductionmentioning

confidence: 99%

Implementation of one and three dimensional models for heat transfer coeffcient identification over the plate cooled by the circular water jets

et al. 2017

View full text Add to dashboard Cite

A cooling rate affects the mechanical properties of steel which strongly depend on microstructure evolution processes. The heat transfer boundary condition for the numerical simulation of steel cooling by water jets can be determined from the local one dimensional or from the three dimensional inverse solutions in space and time. In the present study the inconel plate has been heated to about 900°C and then cooled by six circular water jets. The plate temperature has been measured by 30 thermocouples. The heat transfer coefficient and the heat flux distributions at the plate surface have been determined in time and space. The one dimensional solutions have given a local error to the heat transfer coefficient of about 35%. The three dimensional inverse solution has allowed reducing the local error to about 20%. The uncertainty test has confirmed that a better approximation of the heat transfer coefficient distribution over the cooled surface can be obtained even for limited number of thermocouples. In such a case it was necessary to constrain the inverse solution with the interpolated temperature sensors. List of symbols ATDAverage temperature difference between measured and computed temperature curves (°C)

show abstract

“…Numerical simulation of cooling follows to find appropriate cooling intensity and its duration. Knowing the desired cooling intensity new cooling section is designed and tested under the laboratory conditions [3]. From the laboratory experiments boundary conditions are obtained and tested using a numerical model.…”

Section: Introductionmentioning

confidence: 99%