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Indentifcation of boiling heat fluxes in a single-bubble nucleate boiling experiment using a three- dimensional transient heat conduction model

Heng, Y. and Mhamdi, A. and Wagner, E. and Marquardt, W. and Stephan, Peter (2008):
Indentifcation of boiling heat fluxes in a single-bubble nucleate boiling experiment using a three- dimensional transient heat conduction model.
In: Proceedings 6th International Conference on Inverse Problems in Engineering, [Conference or Workshop Item]

Abstract

Boiling heat transfer is still hard to model and to predict. Among all kinds of studies on boiling processes, the estimation of the local heat fluxes on the boiling surface is fundamental. From the mathematical point of view, it belongs to the class of inverse heat conduction problems (IHCPs) which cannot be solved straightforwardly. In this paper, we estimate the local boiling heat flux by solving a three-dimensional (3D) transient IHCP using the measured temperature field from a single-bubble nucleate boiling experiment. The considered IHCP is formulated as a mathematical optimization problem and solved by the conjugate gradient (CG) method.

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Heng, Y. and Mhamdi, A. and Wagner, E. and Marquardt, W. and Stephan, Peter
Title: Indentifcation of boiling heat fluxes in a single-bubble nucleate boiling experiment using a three- dimensional transient heat conduction model
Language: German
Abstract:

Boiling heat transfer is still hard to model and to predict. Among all kinds of studies on boiling processes, the estimation of the local heat fluxes on the boiling surface is fundamental. From the mathematical point of view, it belongs to the class of inverse heat conduction problems (IHCPs) which cannot be solved straightforwardly. In this paper, we estimate the local boiling heat flux by solving a three-dimensional (3D) transient IHCP using the measured temperature field from a single-bubble nucleate boiling experiment. The considered IHCP is formulated as a mathematical optimization problem and solved by the conjugate gradient (CG) method.

Divisions: 16 Department of Mechanical Engineering > Institute for Technical Thermodynamics (TTD)
Exzellenzinitiative > Clusters of Excellence > Center of Smart Interfaces (CSI)
16 Department of Mechanical Engineering
Zentrale Einrichtungen
Exzellenzinitiative
Exzellenzinitiative > Clusters of Excellence
Event Title: Proceedings 6th International Conference on Inverse Problems in Engineering
Date Deposited: 17 Mar 2015 15:06
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