3D IHCP IN POOL BOILING: MATHEMATICAL FORMULATION,EFFICIENT COMPUTATIONAL STRATEGIES AND SOFTWARE TOOL
Among all kinds of studies on boiling processes, the efficient and accurate estimation of the local heat flux distribution at the boiling surface, beyond its average information which can be obtained by traditional approaches, is a crucial prerequisite in modern modeling of boiling heat transfer. For accurate predictions, the heat flux estimation task is formulated as a three-dimensional (3D) inverse heat conduction problem (IHCP). to case of a complex heater geometry, realistic boundary conditions and a nonuniformly measurement configuration, the solution of the 3D IHCP considered leads to a large-scale PDE-constrained optimization problem. Further, regularization-based techniques have to be applied to tackle the inherent severe ill-posedness of the 3D IHCP. This paper gives a brief summary of our recent developments in the efficient solution of the 3D IHCP which accomplishes the task of heat flux reconstruction in pool boiling. It incorporates an iterative regularization based on a conjugate gradient method for the normal equations (CGNE) and a multi level adaptive computational strategy. The novel method can efficiently cope with both idealized (high-resolution) and limited point-wise experimental data which are commonly available in most heat transfer experiments. The method has been applied to the evaluation of real temperature data obtained from two novel pool boiling experiments. For the first time, the computational effort of such tasks reduces to the order of minutes on standard desktop computers.
Yi Heng Adel Mhamdi Wolfgang Marquardt
AixCAPE e.V., D-52072, Aachen, Germany AVT -Process Systems Engineering, RWTH Aachen University, D-52064 Aachen, Germany
国际会议
2nd International Conference on Computational Methods for Thermal Problems(第二届热问题计算方法国际会议)
大连
英文
247-250
2011-09-05（万方平台首次上网日期，不代表论文的发表时间）