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Thermal conductivity reconstruction method with application in a face milling operation

Everton Boos (Department of Mathematics, Federal University of Santa Catarina, Florianópolis, Brazil)
Fermín S.V. Bazán (Department of Mathematics, Federal University of Santa Catarina, Florianópolis, Brazil)
Vanda M. Luchesi (Institute of Exact and Natural Sciences of Pontal, Federal University of Uberlândia, Uberlândia, Brazil)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 30 May 2023

Issue publication date: 22 June 2023

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Abstract

Purpose

This paper aims to reconstruct the spatially varying orthotropic conductivity based on a two-dimensional inverse heat conduction problem described by a partial differential equation (PDE) model with mixed boundary conditions. The proposed discretization uses a highly accurate technique and allows simple implementations. Also, the authors solve the related inverse problem in such a way that smoothness is enforced on the iterations, showing promising results in synthetic examples and real problems with moving heat source.

Design/methodology/approach

The discretization procedure applied to the model for the direct problem uses a pseudospectral collocation strategy in the spatial variables and Crank–Nicolson method for the time-dependent variable. Then, the related inverse problem of recovering the conductivity from temperature measurements is solved by a modified version of Levenberg–Marquardt method (LMM) which uses singular scaling matrices. Problems where data availability is limited are also considered, motivated by a face milling operation problem. Numerical examples are presented to indicate the accuracy and efficiency of the proposed method.

Findings

The paper presents a discretization for the PDEs model aiming on simple implementations and numerical performance. The modified version of LMM introduced using singular scaling matrices shows the capabilities on recovering quantities with precision at a low number of iterations. Numerical results showed good fit between exact and approximate solutions for synthetic noisy data and quite acceptable inverse solutions when experimental data are inverted.

Originality/value

The paper is significant because of the pseudospectral approach, known for its high precision and easy implementation, and usage of singular regularization matrices on LMM iterations, unlike classic implementations of the method, impacting positively on the reconstruction process.

Keywords

Acknowledgements

E.B. was supported by CAPES and FAPESC, Brazil (Grant No. 88887.178114/2018-00). F.S.V.B. (Grant No. 308523/2017-2) and V.M.L. (Grant No. 510504/2010-8) were supported by CNPq, Brazil.

Citation

Boos, E., Bazán, F.S.V. and Luchesi, V.M. (2023), "Thermal conductivity reconstruction method with application in a face milling operation", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 33 No. 8, pp. 3025-3055. https://doi.org/10.1108/HFF-12-2022-0720

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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