System for indirect temperature measurement in annealing process

Durdán, Milan; Mojzisova, Andrea; Laciak, Marek; Kačur, Ján

doi:10.1016/j.measurement.2013.10.013

Cited by 8 publications

(13 citation statements)

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“…Realized measurements were used for the development of SIMT and to determine of thermophysical properties applied in SIMT. Measuring chains and measuring points are described in the following subsections [1,23].…”

Section: Experimental Measurementsmentioning

confidence: 99%

“…A total of 7 operating measurements were performed on the real bell furnace in an annealing plant [1]. The scheme of measurement chain for the realized measurements is shown in Figure 3.…”

Section: Operating Measurementsmentioning

confidence: 99%

“…This system is based on the system of indirect temperature measurement described in [1], which includes two subsystems.…”

Section: The System Of Indirect Temperature Measurementmentioning

confidence: 99%

“…This process modeling (i.e., the prediction of the heating, the maintaining, and the cooling time) is a very hard and difficult task. The indirect measurement system (e.g., in the form of two-dimensional thermal models described in [1]) can be used to solve this task (i.e., for the prediction of the coil temperature behavior). Indirect measurement system described in this paper enables one to determine temperatures in annealed coil based on the atmosphere temperature that is directly measured.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this paper is the proposal of optimization methods for determining thermophysical properties that are applied to the increase of accuracy for the system of indirect temperature measurement (SIMT) in the annealing process. The SIMT has the form mathematical model, which is the extension of the models described in [1,3]. The task of this system is the calculation of inner temperatures based on measuring an annealing atmosphere temperature.…”

Section: Introductionmentioning

confidence: 99%

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Thermophysical Properties Estimation in Annealing Process Using the Iterative Dynamic Programming Method and Gradient Method

Durdán¹,

Kačur²,

Laciak³

et al. 2019

Energies

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In annealing, steel coils should be heated and consequently cooled according to the technological prescription defined for the annealed type of steel. It is appropriate to develop the systems and methods for estimation of the steel coil inner temperature for that reason. The proposal for such a system of indirect measurement of inner temperature is described in this study. This system, in the form of the mathematical model, is developed based on the theory of heat transfer and needs thermophysical parameters as inputs. In many cases, the thermophysical properties are difficult to access or unknown for the specific composition of the material being processed. In this paper, two optimization methods were applied to estimate two thermophysical properties. The application of the iterative dynamic programming method is aimed to estimate optimal thermal diffusivity. The verification of this method was performed on 11 laboratory measurements. The algorithm of the gradient method was used for estimating thermal conductivity and was verified on seven operational measurements. Results show that the optimized values of thermophysical properties increased the accuracy of the steel coil inner temperature estimation in the locations nearer to the steal coil central axis.

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Section: Experimental Measurementsmentioning

confidence: 99%

“…A total of 7 operating measurements were performed on the real bell furnace in an annealing plant [1]. The scheme of measurement chain for the realized measurements is shown in Figure 3.…”

Section: Operating Measurementsmentioning

confidence: 99%

“…This system is based on the system of indirect temperature measurement described in [1], which includes two subsystems.…”

Section: The System Of Indirect Temperature Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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