ANN-based model integrated in thermal-hydraulics codes: A case study of two-phase wall friction model
Main Article Content
Abstract
Accurate prediction of two-phase parameters is essential for the development, operation and safety of nuclear power plants. In this paper, the ANN-based model has been developed, implemented with PDE (Partial Differential Equation) solver in case study of two-phase frictional pressure drop prediction.
Article Details
Keywords
Two-phase pressure drop, ANN-based model, PDE-Solver
References
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[16]. C. Lu et al., Frictional pressure drop analysis for horizontal and vertical air-water two-phase flows in different pipe sizes; Nuclear Engineering and Design 322 (2018).
[17]. S. Badie et al., Pressure gradient and holdup in horizontal two-phase gas-liquid flows with low liquid loading; International Journal of Multiphase Flow 26 (2000).
[18]. B. A. Shannak, Frictional pressure drop of gas liquid two-phase flow in pipes; Nuclear Engineering and Design 238 (2008).
[19]. M. Ottens et al., Correlations Predicting liquid hold-up and pressure gradient in steady-state (nearly) horizontal co-corrent gas-liquid pipe flow; Trans IChemE 79 (2001).
[20]. B. Sun and Y. Zhou, Flow Frictional Characteristics under Stable and Transverse Vibration Conditions in Horizontal Channels; Energies (2023).
[21]. F. A. Hamad et al., Investigation of pressure drop in horizontal pipes with different diameters; International Journal of Multiphase Flow 91 (2017).
[22]. K. A. Triplett et al., Gas-liquid two-phase flow in microchannels Part II: void fraction and pressure drop; International Journal of Multiphase Flow 25 (1999).
[2]. N. Dinh et al., Perspectives on Nuclear Reactor Thermal Hydraulics, The 15th International Topical Meeting on Nuclear Reactor Thermal - Hydraulics, NURETH-15, Pisa, Italy, (2013).
[3]. N. Bar et al., Prediction of frictional pressure drop using Artificial Neural Network for air-water flow through U-bend, International Conference on Computational Intelligence: Modeling Techniques and Applications (CTMTA) (2013).
[4]. A. A. Amooey., Prediction of pressure drop for oil-water flow in horizontal pipes using an artificial neural network system. Journal of Applied Fluid Mechanics, 9(5), 2469-2474 (2016).
[5]. X. Liang et al., A data driven deep neural network model for predicting boiling heat transfer in helical coils under high gravity. International Journal of Heat and Mass Transfer, 166 (2021).
[6]. M.A. Moradkhani et al., Robust and universal predictive models for frictional pressure drop during two‐phase flow in smooth helically coiled tube heat exchangers, Scientific Reports, (2021).
[7]. F. Faraji et al., Two-phase flow pressure drop modelling in horizontal pipes with different diameters, Nuclear Engineering and Design 395 (2022).
[8]. J.A. Montañez-Barrera et al., Correlated-informed neural networks: A new machine learning framework to predict pressure drop in micro-channels, Inter. Journal of Heat and Mass Transfer 194 (2022).
[9]. N.D. Nguyen, V.T. Nguyen, Development of ANN Structural Optimization Framework for Data-driven Prediction of Local Two-phase Flow Parameters; Progress in Nuclear Energy 146 (2022).
[10]. RELAP5 Manual, Idaho National Laboratory, US.
[11]. MARS Manual, Korea Atomic Energy Research Institute, Republic of Korea
[12]. Development of CFD Code for Subcooled Boiling Two-Phase Flow with Modeling of the Interfacial Area Transport Equation, KAERI/TR-3679/2008
[13]. N.D. Nguyen, V.T. Nguyen, Application of Artificial Neural Network for Prediction of Local Void Fraction in Vertical Subcooled Boiling Flow; Nuclear Science and Technology 11(2) (2021).
[14]. D. Nguyen, B. Widrow, Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights In: 1990 IJCNN International Joint Conference on Neural Networks 3:21–26 (1999).
[15]. D. W. Marquardt, An algorithm for least squares estimation of nonlinear parameters, SIAM J. Appl. Math. 11, 431–441 (1963).
[16]. C. Lu et al., Frictional pressure drop analysis for horizontal and vertical air-water two-phase flows in different pipe sizes; Nuclear Engineering and Design 322 (2018).
[17]. S. Badie et al., Pressure gradient and holdup in horizontal two-phase gas-liquid flows with low liquid loading; International Journal of Multiphase Flow 26 (2000).
[18]. B. A. Shannak, Frictional pressure drop of gas liquid two-phase flow in pipes; Nuclear Engineering and Design 238 (2008).
[19]. M. Ottens et al., Correlations Predicting liquid hold-up and pressure gradient in steady-state (nearly) horizontal co-corrent gas-liquid pipe flow; Trans IChemE 79 (2001).
[20]. B. Sun and Y. Zhou, Flow Frictional Characteristics under Stable and Transverse Vibration Conditions in Horizontal Channels; Energies (2023).
[21]. F. A. Hamad et al., Investigation of pressure drop in horizontal pipes with different diameters; International Journal of Multiphase Flow 91 (2017).
[22]. K. A. Triplett et al., Gas-liquid two-phase flow in microchannels Part II: void fraction and pressure drop; International Journal of Multiphase Flow 25 (1999).