TY - GEN
T1 - Evaluation of Computational Parameters of the Levenberg-Marquardt Method for Solving Inverse Heat Conduction Problems in Heat Flux Prediction
AU - Satmoko, Ari
AU - Kosasih, Engkos Achmad
AU - Antariksawan, Anhar R.
AU - Dzaky, Irfan
AU - Abrar, Hairul
AU - Arafat, Andril
N1 - Funding Information:
Research related to IHCP using measurement data based on infrared technology was pioneered by Christophe Le Niliot [1] who attempted to reconstruct an unknown linear heat This research is funded by Riset Kolaborasi Indonesia 2022: NKB-1068/UN2.RST/HKP.05.00/2022 23-06-2022.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - algorithm
KW - computation
KW - heat flux
KW - inverse problem
KW - Levenberg-Marquardt Method
UR - http://www.scopus.com/inward/record.url?scp=85163109416&partnerID=8YFLogxK
U2 - 10.1109/ICCoSITE57641.2023.10127830
DO - 10.1109/ICCoSITE57641.2023.10127830
M3 - Conference contribution
AN - SCOPUS:85163109416
T3 - ICCoSITE 2023 - International Conference on Computer Science, Information Technology and Engineering: Digital Transformation Strategy in Facing the VUCA and TUNA Era
SP - 211
EP - 216
BT - ICCoSITE 2023 - International Conference on Computer Science, Information Technology and Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Computer Science, Information Technology and Engineering, ICCoSITE 2023
Y2 - 16 February 2023
ER -