Inverse approach and sensitivity analysis for identification of ingot-mould thermal resistance in continuous casting of metals

Nawrat, Aleksander; Skorek, J.

doi:10.1080/10618560500233446

Cited by 6 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The minimization may also be performed by the solution of the nonlinear system resulting from the discretization of the direct problem; in this case, the unknown variables comprise the unknown state variables and the unknown parameters. Nawrat and Skorek [4] successfully used this method to identify a thermal resistance for metal processing applications.…”

Section: Introductionmentioning

confidence: 98%

Comparison of global and sequential methods for an inverse heat transfer problem

Marcos

Boulet

Ousegui

et al. 2011

Inverse Problems in Science and Engineering

View full text Add to dashboard Cite

This article presents a comparison between global and sequential methods to solve inverse problem related to the baking process. Both methods aim to reconstruct the wall temperature profile in the baking oven from the temperature of flux sensor (h-Monitor). The global method solves the adjoint and sensitivity equations to compute the gradient conjugate descent direction. This method contains regularization term that modifies the computation of the gradient. The sequential method computes at each time step a quasi-Newton descent direction taking into account a regularization term. This method may consider one-step or some time steps to improve the descent direction. The comparison shows that both methods perform well. However, the global method is better for noisy data and the sequential method provides satisfying results which makes it an interesting approach because of its simplicity.

show abstract

Section: Introductionmentioning

confidence: 98%

Comparison of global and sequential methods for an inverse heat transfer problem

Marcos

Boulet

Ousegui

et al. 2011

Inverse Problems in Science and Engineering

View full text Add to dashboard Cite

show abstract

“…In [9], the location of the phase change front in the continuous casting process was designated by solving the inverse geometry problem. Nawrat and Skorek [10,11] used the Stefan problem to determine the thermal resistance of the interspace between the ingot and the crystallizer in a continuous casting process. The thermal resistance of the interspace between the crystallizer (or the mould) and the ingot was also identified in [12,13], whereas the coefficient of heat transfer between the ingot and the mould was determined in [14,15].…”

Section: Introductionmentioning

confidence: 99%

Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms

Hetmaniok

Słota

Zielonka

2015

Applied Mathematical Modelling

View full text Add to dashboard Cite

“…Inverse problems are one of the most important components of computational fluid dynamics, and its study is helpful in obtaining knowledge about many engineering processes and devices. Nawrat and Skorek (2005) have applied the inverse analysis for studying the thermal properties in metal casting. Asuaje et al (2004) have studied an inverse problem dealing with the analysis of centrifugal impeller using quasi three-dimensional method.…”

Section: Introductionmentioning

confidence: 99%

A simulated annealing-based inverse computational fluid dynamics model for unknown parameter estimation in fluid flow problem

Das

2012

International Journal of Computational Fluid Dynamics

View full text Add to dashboard Cite

In this paper, a simulated annealing (SA)-based optimisation is carried out for simultaneous estimation of the Reynolds number (Re) and the dimensions of the enclosure (l x , l y ) from the knowledge of centreline velocity field. For demonstrating the retrieval methodology, the required centreline velocity field is first obtained from a forward method using some known values of the unknowns, which are ultimately estimated by the inverse method. SA is used to optimise the objective function represented by the square of the difference between the known field and an arbitrary guessed field (calculated using some guessed value of the unknowns). For studying the sensitivity of the estimated parameters, the effect of random errors has been investigated and the suitability of the SA has been checked for different initial guesses. The algorithm reported in the present work is useful in estimating the above unknowns (Re, l x , l y ) for a given velocity field.

show abstract

Inverse approach and sensitivity analysis for identification of ingot-mould thermal resistance in continuous casting of metals

Cited by 6 publications

References 1 publication

Comparison of global and sequential methods for an inverse heat transfer problem

Comparison of global and sequential methods for an inverse heat transfer problem

Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms

A simulated annealing-based inverse computational fluid dynamics model for unknown parameter estimation in fluid flow problem

Contact Info

Product

Resources

About