scholarly journals PRESSURE DROP EXPERIMENTS OF UPPER AND LOWER DUMMY ASSEMBLIES FOR THE EXPERIMENTAL GAS COOLED REACTOR. SECTION V OF THE FUEL ASSEMBLY HEAT TRANSFER AND CHANNEL PRESSURE DROP EXPERIMENTS FOR THE EGCR RESEARCH AND DEVELOPMENT PROGRAM

1960 ◽  
Author(s):  
T. J. McDonald ◽  
R. M. Higgins
Keyword(s):  
Heat Transfer ◽  
Pressure Drop ◽  
Research And Development ◽  
Fuel Assembly ◽  
Development Program ◽  
Reactor Section

scholarly journals FAST REACTOR FUEL ASSEMBLY THERMAL HYDRAULIC DEVELOPMENT PROGRAM: SODIUM HEAT TRANSFER.

1970 ◽  
Author(s):  
J.M. Yatabe ◽  
R.E. Collingham ◽  
V.R. Hill ◽  
T.I. McSweeney ◽  
W.L. Thorne
Keyword(s):  
Heat Transfer ◽  
Fuel Assembly ◽  
Fast Reactor ◽  
Development Program ◽  
Reactor Fuel ◽  
Fast Reactor Fuel ◽  
Reactor Fuel Assembly

Flow and Heat Transfer Simulation in a Complete PWR Fuel Assembly Using Wall-Modelled Rans

2021 ◽  
Author(s):  
Blaž Mikuž ◽  
Ferry Roelofs
Keyword(s):  
Heat Transfer ◽  
Pressure Drop ◽  
Flow Field ◽  
Fuel Assembly ◽  
Hot Spots ◽  
Complex Geometry ◽  
Computational Domain ◽  
Pressurized Water ◽  
Flow And Heat Transfer ◽  
Significant Difference

Abstract Reproduction of turbulent flow and heat transfer inside a pressurized water reactor (PWR) fuel assembly is a challenging task due to the complex geometry and the huge computational domain. Capability of a wall-modelled RANS approach has been examined, which had already been validated against the measurements of the MATiS-H experiment. The method is here expanded to a larger computational domain aiming to reproduce flow and thermal field in the entire PWR fuel assembly. Namely, in the first part of the present study, wall-modelled RANS is performed in a relatively short section of the representative PWR fuel assembly containing one single mixing grid with an array of 15×15 fuel rods. Linear and nonlinear eddy-viscosity turbulence models have been applied, however no significant difference is observed in the predicted pressure drop in the fuel assembly. The obtained predictions revealed an interesting pattern of swirl flow as well as diagonal cross flow downstream the mixing grid, which is driven by the applied design of split-type mixing vanes. In the second part, the computational model is extended to a domain representative of a complete PWR fuel assembly with ten mixing grids, inlet and outlet sections. Pressure drop and flow field are analysed together with the predicted temperature and potential hot spots. In spite of a relatively coarse spatial resolution of the applied approach, the wall-modelled RANS provided promising results at least for the qualitative prediction of the pressure, flow field and location of hot spots.

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