Inverse method implementation to heat transfer coefficient determination over the plate cooled by water spray

Malinowski, Z.; Cebo-Rudnicka, A.; Telejko, T.; Hadała, B.; Szajding, A.

doi:10.1080/17415977.2014.923417

Cited by 26 publications

(8 citation statements)

References 24 publications

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“…At present, the authors of papers [53][54][55] in their computing based on the Inverse method, use both their original source codes and commercial computing packages. The presented papers show that using the inverse analysis in the numerical modelling of the continuous casting process is very widely applied, due to the possibility of precise determination of boundary conditions and the selected material-related parameters.…”

Section: Inverse Modelingmentioning

confidence: 99%

Control and Design of the Steel Continuous Casting Process Based on Advanced Numerical Models

Miłkowska-Piszczek

Falkus

2018

Metals

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The process of continuous casting of steel is a complex technological task, including issues related to heat transfer, the steel solidification process, liquid metal flow and phase transitions in the solid state. This involves considerable difficulty in creating the optimal process control system, which would include the influence of all the physico‐chemical phenomena which may occur. In parallel, there is an intensive development of new mathematical models and an increase in computer performance, therefore complex numerical simulations requiring substantial computing time can be conducted. This paper presents a review of currently applied numerical methods allowing the phenomena accompanying the process of continuous casting of steel to be accurately represented. Special attention was paid to the selection of appropriate methods to solve the technological problem selected. The possibilities of applying selected numerical models were analysed in order to modify and improve the existing process or to design a new one linked to the implementation of new steel grades in the current production. The description of the method of defining the boundary conditions, initial conditions and material parameters as vital components ensuring that numerical calculations based upon them in the finite element method, which is that most frequently applied, are correct is an important element of the paper. The possibility of reliably defining the values of boundary parameters on the basis of information on the intensity of cooling in individual zones of the continuous casting machine was analysed.

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Section: Inverse Modelingmentioning

confidence: 99%

Control and Design of the Steel Continuous Casting Process Based on Advanced Numerical Models

Miłkowska-Piszczek

Falkus

2018

Metals

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“…In Eq. More detailed description of the FEM models, boundary conditions and the previous uncertainty analysis have been given in [6] and [7]. In the present paper only new test for plate cooling with six water jets has been presented.…”

Section: The Inverse Problem Formulationmentioning

confidence: 99%

“…However, for metallurgical processes the heat flux or the heat transfer coefficient (HTC) as functions of the cooled surface temperature under transient cooling are the most important. Further, it has been recognized that the heat transfer during water cooling varies at the cooled surface in space and time [5,6]. In such a case efficient and reliable methods are necessary for identification of the local heat flux or the local HTC.…”

Section: Introductionmentioning

confidence: 99%

Heat transfer coefficient distribution over the inconel plate cooled from high temperature by the array of water jets

Malinowski

Telejko

Cebo-Rudnicka

et al. 2016

J. Phys.: Conf. Ser.

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“…The sample temperature has been measured by thermocouples. The inverse solution to the one dimensional heat conduction in the plate has given the sample emissivity ε s = 0.52 [24].…”

Section: Forward Problem Formulationmentioning

confidence: 99%

“…Implementation of the one dimension model can lead to the HTC determination errors which could reach 60% in comparison with the two-dimensional models [22]. Further, it has been recognized that the heat transfer during water cooling varies at the cooled surface in space and time [23,24]. In a number of publications two-dimensional inverse heat conduction model are used to identify heat flux and heat transfer coefficient [25][26][27][28][29].…”

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

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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)

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Inverse method implementation to heat transfer coefficient determination over the plate cooled by water spray

Cited by 26 publications

References 24 publications

Control and Design of the Steel Continuous Casting Process Based on Advanced Numerical Models

Control and Design of the Steel Continuous Casting Process Based on Advanced Numerical Models

Heat transfer coefficient distribution over the inconel plate cooled from high temperature by the array of water jets

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

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