Eventos Anais de eventos
ENCIT 2018
Brazilian Congress of Thermal Sciences and Engineering
A Time Traveling Regularization Method For Three Dimensional Inverse Problems in Heat Conduction
Submission Author:
Rodrigo Gustavo Dourado da Silva , SP
Co-Authors:
Rodrigo Gustavo Dourado da Silva, Elisan dos Santos Magalhães, Sandro Metrevelle Marcondes de Lima e Silva
Presenter: Rodrigo Gustavo Dourado da Silva
doi://10.26678/ABCM.ENCIT2018.CIT18-0586
Abstract
The Time Traveling Regularization (TTR) is a regularization methodology for the solution of inverse problems. The TTR must be applied together with an optimization technique, for this work the Golden Section was used. One of the big advantages of the use of this methodology is the noise reduction of the outputs results on inverse problems in heat conduction. In this work, a methodology is proposed for the heat flux estimation in a three-dimensional heat conduction inverse problem. The methodology was based on the Golden Section and TTR. To validate the methodology, lab-controlled experiments were performed in a AISI 304 sample. The three-dimensional direct model was solved from the finite differences method. The heat flux was estimated through the TTR and Sequential Function Specification Method (SFSM). Both methods presented similar results with low variation between the estimated heat flux. The similarity among the obtained results and the heat flux values generated by the resistive heater, as well the low temperature residues, validate the proposed methodology.
Keywords
Inverse problem, Optimization, Time Traveling Regularization, Function Specification Method, Heat transfer
