A correlation for heat transfer and flow friction characteristics of the offset strip fin heat exchanger

Author(s):  
Rui Song ◽  
Mengmeng Cui ◽  
Jianjun Liu
2000 ◽  
Author(s):  
Eric M. Smith

Abstract The direct-sizing of heat exchangers applies to that class of heat exchanger in which the local geometry of the core is the same everywhere. Many of our best performing exchangers possess this property. Previous papers discussing this topic were published by Smith (1994, 1997a). Optimisation of rectangular offset strip-fin (ROSF) surfaces involves varying plate spacing b, cell pitch c, and strip-length x in a logical manner. The Manglik and Bergles correlations for flow-friction and heat transfer of ROSF surfaces permits such optimisation. The design procedure which follows applies to a two-stream contraflow exchanger assuming perfect gases.


1965 ◽  
Vol 87 (1) ◽  
pp. 72-86 ◽  
Author(s):  
C. P. Howard

Experimental results for convective heat-transfer and flow-friction characteristics of three skewed-passage and four glass-ceramic compact heat-exchanger surfaces are presented which should be of practical use, particularly in the design of gas-turbine regenerators. The heat-transfer data were obtained by the transient technique.


1960 ◽  
Vol 82 (1) ◽  
pp. 27-34 ◽  
Author(s):  
W. M. Kays

In this paper the basic characteristics of six new compact high-performance surfaces are presented. Four are of the strip-fin type, including three stacked in a unique multiple sandwich arrangement. One of the surfaces has perforated fins formed by punching circular holes through the fins, and one has wavy fins. The basic characteristics are presented in terms of NStNPr2/3 and f versus Reynolds number. A sufficient geometrical description is provided so that the data are readily usable in heat exchanger design analysis. The triple-sandwich surface introduces some new complications in the analysis of the effectiveness of the fins, and this problem is considered in an Appendix.


Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 968-980
Author(s):  
Xueping Du ◽  
Zhijie Chen ◽  
Qi Meng ◽  
Yang Song

Abstract A high accuracy of experimental correlations on the heat transfer and flow friction is always expected to calculate the unknown cases according to the limited experimental data from a heat exchanger experiment. However, certain errors will occur during the data processing by the traditional methods to obtain the experimental correlations for the heat transfer and friction. A dimensionless experimental correlation equation including angles is proposed to make the correlation have a wide range of applicability. Then, the artificial neural networks (ANNs) are used to predict the heat transfer and flow friction performances of a finned oval-tube heat exchanger under four different air inlet angles with limited experimental data. The comparison results of ANN prediction with experimental correlations show that the errors from the ANN prediction are smaller than those from the classical correlations. The data of the four air inlet angles fitted separately have higher precisions than those fitted together. It is demonstrated that the ANN approach is more useful than experimental correlations to predict the heat transfer and flow resistance characteristics for unknown cases of heat exchangers. The results can provide theoretical support for the application of the ANN used in the finned oval-tube heat exchanger performance prediction.


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