Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Estimation of heat transfer in oscillating annular flow using artificial neural networks
In this study, the prediction of heat transfer from a surface having constant heat flux subjected to oscillating annular flow is investigated using artificial neural networks (ANNs). An experimental study is carried out to estimate the heat transfer characteristics as a function of some input parameters, namely frequency, amplitude, heat flux and filling heights. In the experiments, a piston cylinder mechanism is used to generate an oscillating flow in a liquid column at certain frequency and amplitude. The cycle-averaged values are considered in the calculation of heat transfer using the control volume approach. An experimentally evaluated data set is prepared to be processed with the use of neural networks. Back propagation algorithm, the most common learning method for ANNs, is used for training and testing the network. Results of the experiments and the ANN are in close agreements with errors less-than 5%. The study showed that the ANNs could be used effectively for modeling oscillating flow heat transfer in a vertical annular duct.
Estimation of heat transfer in oscillating annular flow using artificial neural networks
In this study, the prediction of heat transfer from a surface having constant heat flux subjected to oscillating annular flow is investigated using artificial neural networks (ANNs). An experimental study is carried out to estimate the heat transfer characteristics as a function of some input parameters, namely frequency, amplitude, heat flux and filling heights. In the experiments, a piston cylinder mechanism is used to generate an oscillating flow in a liquid column at certain frequency and amplitude. The cycle-averaged values are considered in the calculation of heat transfer using the control volume approach. An experimentally evaluated data set is prepared to be processed with the use of neural networks. Back propagation algorithm, the most common learning method for ANNs, is used for training and testing the network. Results of the experiments and the ANN are in close agreements with errors less-than 5%. The study showed that the ANNs could be used effectively for modeling oscillating flow heat transfer in a vertical annular duct.
Estimation of heat transfer in oscillating annular flow using artificial neural networks
Akdag, U. (Autor:in) / Komur, M.A. (Autor:in) / Ozguc, A.F. (Autor:in)
Advances in Engineering Software ; 40 ; 864-870
2009
7 Seiten, 31 Quellen
Aufsatz (Zeitschrift)
Englisch
OSCILLATING WALL BASED ON ANNULAR OSCILLATING MECHANISM
| Europäisches Patentamt | 2022
Artificial neural networks for inverse heat transfer problems
| Tema Archiv | 2007
Fluid flow and heat transfer in flat-plate oscillating heat pipe
| Online Contents | 2014
Saturated Hydraulic Conductivity Estimation Using Artificial Neural Networks
| DOAJ | 2021
River flow forecasting using artificial neural networks
| British Library Conference Proceedings | 2004