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A dual grid-based deep reinforcement learning and computational fluid dynamics method for flow control and its application to nucleate pool boiling.
- Source :
-
International Journal of Heat & Mass Transfer . Aug2024, Vol. 227, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This paper presents a proposition of a dual grid (DG)-based coupled deep reinforcement learning (DRL) and computational fluid dynamics (CFD) method for active flow control. The DG-DRL-CFD method uses a dual-resolution grid, with a coarser grid for the training phase and a finer grid for the testing phase of the DRL-CFD method. Further, after a validation study for our DRL-CFD-based parallelized in-house solvers, this paper presents a performance study for a periodic suction/ejection-based drag reduction for a cylinder in a channel-confined flow. Using an immersed boundary method for CFD on a Cartesian grid, this novel DG-DRL-CFD method is shown to result in almost same accuracy (within 1%) in a substantially reduced computational time as compared to the traditional DRL-CFD method (on the finer uniform grid). Finally, using a sharp interface level set method for an axisymmetric two-phase flow, this paper presents an application of the DR-DRL-CFD method for an oscillating base plate-based enhancement of heat transfer during nucleate pool boiling. As compared to our recent CFD study-based parametric study for the nucleate pool boiling problem, the present DG-DRL-CFD method leads to a profile and frequency of plate-oscillation that results in a larger value of average Nusselt number Nu avg for the plate. The coupled DRL-CFD method leads to plate oscillation profile giving higher enhancement in Nu avg , compared to an open-loop control strategy that involves a parametric sweep involving multiple simulations. • A dual grid (DG) based novel method is proposed which couples deep reinforcement learning and CFD for active flow control. • The method is validated on the problem of flow past cylinder with suction/ejection based drag reduction. • The method is applied to nucleate boiling with oscillating base plate where plate position is controlled using DRL. • The enhancement of Nusselt number is found to be higher than open-loop control strategy that involves a parametric sweep. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00179310
- Volume :
- 227
- Database :
- Academic Search Index
- Journal :
- International Journal of Heat & Mass Transfer
- Publication Type :
- Academic Journal
- Accession number :
- 177200726
- Full Text :
- https://doi.org/10.1016/j.ijheatmasstransfer.2024.125561