Abstract
Abstract The thermal-hydraulic performance of a new parallel-flow shell and tube heat exchanger (STHX) with equilateral cross-sectioned wire coil (HCBetwc-STHX) is investigated in turbulent regime. Four different surrogate models are established to predict the thermal-hydraulic performance. Their merits and drawbacks are illustrated. The results show that the Nuetwc/NuRRB and f etwc/f RRB are in the range of 1.1638–1.855 and 4.078–16.062, respectively. The precision of CFM is the lowest, whereas the precision of radial basis function + artificial neural network and Kriging model is the highest. A good balance can be achieved by response surface methodology between precision and cost. Finally, a general analysis procedure is presented for the predicting method of thermal-hydraulic performance of different STHX with relatively small cost and high precision.
Highlights
With the development of computer science and computational fluid dynamics (CFD), more and more researchers are using CFD to develop new configuration of heat exchangers to meet the urging needs for saving energy [1,2,3].To minimize the computational cost and time, surrogate models of heat exchangers are usually built based on some experimental design methods such as Taguchi method [4], response surface methodology (RSM) [5], and Latin hyper cubic method [6]
Analysis of variance (ANOVA) of Nuetwc and fetwc obtained by RSM is listed in Tables 5 and 6, respectively
This means that the HCBetwcSTHX can enhance heat transfer rate compared with the round rod baffle (RRB)-shell and tube heat exchanger (STHX)
Summary
With the development of computer science and computational fluid dynamics (CFD), more and more researchers are using CFD to develop new configuration of heat exchangers to meet the urging needs for saving energy [1,2,3]. Once the surrogate models are built, the designers can use them to predict the thermal-hydraulic performance of heat exchangers with different parameters. Four surrogate models can be used to predict the thermal-hydraulic performance of shell and tube heat exchanger (STHX). They are conventional fit model (CFM), RSM, artificial neural network (ANN) [7], and Kriging model (KM) [8]. A second-order polynomial RSM was adopted to study the effect of fold baffle configuration parameters on the thermal-hydraulic performance [15]. Applications of ANNs in flow and heat transfer problems in nuclear engineering are discussed [18]. The work done in this paper can be regarded as the further research of the engineering application of HCBetwc-STHX
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