Evaluation of Computational Parameters of the Levenberg-Marquardt Method for Solving Inverse Heat Conduction Problems in Heat Flux Prediction

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Ari Satmoko, Engkos Achmad Kosasih, Anhar R. Antariksawan, Irfan Dzaky, Hairul Abrar, Andril Arafat

2023 ICCoSITE 2023 - International Conference on Computer Science, Information Technology and Engineering: Digital Transformation Strategy in Facing the VUCA and TUNA Era Conference paper Cited by 0 Quartile

Abstract

Most of the inverse problems are ill conditions in which the numerical solution has the potential to become unstable. This paper discusses the Inverse Heat Conduction Problem for 2D thin plate structures. By using the temperature measurement data, the Levenberg-Marquardt Method is applied to predict the heat flux. The efficacy of this method was tested using synthetic data where the temperature measurement error was assumed to be small. The evaluation gives the result that whatever the initial values of the computational parameters (flux guess, damping coefficient and finite difference step) have no significant effect on the final results. The solution tends to be stable. The deviation of the calculation results is satisfying, less than 1% compared to the ideal heat flux. Experimentally, the Levenberg-Marquardt Method has also been applied to predict flux at 3 different heater flux levels. For fluxes with a nominal power of 6, 17 and 37 Watts, the errors are 5.2%, 0.8% and 6.1%, respectively, compared to experimental reference values. These errors are still acceptable. © 2023 IEEE.

Affiliations

University of Indonesia, Dept. of Mechanical Engineering, Depok, Indonesia; PR Teknologi Akselerator BRIN, Yogyakarta, Indonesia; Universitas Andalas, Dept. of Mechanical Engineering, Padang, Indonesia; Universitas Negeri Padang, Dept. of Mechanical Engineering, Padang, Indonesia