4.6 Article

Novel methodologies for solving the inverse unsteady heat transfer problem of estimating the boundary heat flux in continuous casting molds

Journal

Publisher

WILEY
DOI: 10.1002/nme.7167

Keywords

boundary condition estimation; continuous casting; data assimilation; heat transfer; inverse problem; optimal control

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In this article, we investigate the estimation of transient mold-slab heat flux in continuous casting molds using thermocouples measurements in the mold plates. We formulate this problem as the estimation of a Neumann boundary condition given pointwise state observations. We present the mold thermal model and assumptions, and then formulate the boundary heat flux estimation problem in a deterministic inverse problem setting using a sequential approach. We develop novel direct methodologies for different formulations of the inverse problem, and test their performance in benchmark cases.
In this article, we investigate the estimation of the transient mold-slab heat flux in continuous casting molds given some thermocouples measurements in the mold plates. Mathematically, we can see this problem as the estimation of a Neumann boundary condition given pointwise state observations in the interior of the domain. We formulate it in a deterministic inverse problem setting. After introducing the industrial problem, we present the mold thermal model and related assumptions. Then, we formulate the boundary heat flux estimation problem in a deterministic inverse problem setting using a sequential approach according to the sequentiality of the temperature measurements. We consider different formulations of the inverse problem. For each one, we develop novel direct methodologies exploiting a space parameterization of the heat flux and the linearity of the mold model. We construct these methods to be divided into a computationally expensive offline phase that can be computed before the process starts, and a cheaper online phase to be performed during the casting process. To conclude, we test the performance of the proposed methods in two benchmark cases.

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