Prediction of local and integral turbulent transport properties for liquid-metal heat transfer in equilateral triangular rod arrays
Description
A theoretical method based on a phenomenological turbulence model has been applied to evaluate turbulent transport properties for liquid-metal heat transfer in bare equilateral triangular rod bundles. Results obtained for local distributions of thermal eddy diffusivity in the various directions are presented in terms of correlations. From a subsequent solution of the three-dimensional heat transfer problem between two characteristic interior subchannels under conditions characteristic for tracer-type mixing experiments, integral thermal mixing coefficients and thermal length scales have been evaluated. Results demonstrate that the basic concept of subchannel analysis treating molecular conduction and turbulent transport independently of each other tends to underestimate intersubchannel transport. The uncertainties which are involved in principal assumptions of the turbulence-model as well as in the available empirical results are discussed in some detail. (U.S.)
Additional details
Identifiers
- DOI
- 10.1115/1.3450347;
Publishing Information
- Journal Title
- Journal of Heat Transfer
- Journal Volume
- 97
- Journal Issue
- 2
- Series
- J. Heat Transfer.
- Journal Page Range
- 238-243
- ISSN
- 0022-1481
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 6206872
- Subject category
- S42: ENGINEERING; S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Descriptors DEI
- FUEL ELEMENT CLUSTERS; FUEL RODS; HEAT TRANSFER; LIQUID METALS; LMFBR TYPE REACTORS; MATHEMATICAL MODELS; RODS; TRIANGULAR CONFIGURATION; TURBULENT FLOW
- Descriptors DEC
- BREEDER REACTORS; CONFIGURATION; ELEMENTS; ENERGY TRANSFER; EPITHERMAL REACTORS; FAST REACTORS; FBR TYPE REACTORS; FLUID FLOW; FLUIDS; FUEL ASSEMBLIES; FUEL ELEMENTS; LIQUID METAL COOLED REACTORS; LIQUIDS; METALS; REACTOR COMPONENTS; REACTORS
Optional Information
- Notes
- Updated automatically by Metadata and Full-Text Enrichment Agent