Research Papers

Thermal-Hydraulic Performance and Optimization of Tube Ellipticity in a Plate Fin-And-Tube Heat Exchanger

[+] Author and Article Information
Hua Zhu, Zhijian Sun, Jincai Du, Zhengjiang Zhang

Department of Energy Engineering,
Zhejiang University,
Hangzhou 310027, China

Zhuo Yang

Department of Energy Engineering;
Co-Innovation Center for Advanced Aero-Engine,
Zhejiang University,
Hangzhou 310027, China

Tariq Amin Khan

Department of Mechanical Engineering,
NFC-Institute of Engineering and Technology,
P.O. Fertilizer Project,
Khanewal Road,
Multan 60000, Pakistan
e-mail: tariqamin4u@yahoo.com

Wei Li

Department of Energy Engineering,
Zhejiang University,
Hangzhou 310027, China
e-mail: weili96@zju.edu.cn

Jianxin Zhou

Hangzhou Yuhu Technology Co., Ltd,
Hangzhou, Zhejiang, 310027, China

1Corresponding authors.

Contributed by the Electronic and Photonic Packaging Division of ASME for publication in the JOURNAL OF ELECTRONIC PACKAGING. Manuscript received November 15, 2018; final manuscript received April 11, 2019; published online May 17, 2019. Assoc. Editor: Przemyslaw Gromala.

J. Electron. Packag 141(3), 031008 (May 17, 2019) (8 pages) Paper No: EP-18-1108; doi: 10.1115/1.4043482 History: Received November 15, 2018; Revised April 11, 2019

The flow field inside the heat exchangers is associated with maximum heat transfer and minimum pressure drop. Designing a heat exchanger and employing various techniques to enhance its overall performance has been widely investigated and is still an active research. The application of elliptic tube is an effective alternative to circular tube which can reduce the pressure drop significantly. In this study, numerical simulation and optimization of variable tube ellipticity is studied. The three-dimensional numerical analysis and a multi-objective genetic algorithm (MOGA) with surrogate modeling are performed. Tubes in staggered arrangement in fin-and-tube heat exchanger are investigated for combination of various elliptic ratios and Reynolds numbers. Results show that increasing elliptic ratio increases the friction factor due to increased flow blocking area, however, the effect on the Colburn factor is not significant. Moreover, tube with lower elliptic ratio followed by higher elliptic ratio tube has better thermal-hydraulic performance. To achieve the best overall performance, the Pareto optimal strategy is adopted for which the computational fluid dynamics (CFD) results, artificial neural network (ANN), and MOGA are combined. The tubes elliptic ratio and Reynolds number are the design variables. The objective functions include Colburn factor (j) and friction factor (f). The CFD results are input into ANN model. Once the ANN is computed, it is then used to estimate the model responses as a function of inputs. The final trained ANN is used to drive the MOGA to obtain the Pareto optimal solution. The optimal values of these parameters are finally presented.

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Grahic Jump Location
Fig. 1

The model of the computational region

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Fig. 2

The physical model of the main region of the two-row fin-and-tube heat exchanger

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Fig. 3

Tube connection for staggered arrangement

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Fig. 4

The generated grids of the main region while e1=0.4 and e2=0.6

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Fig. 5

Comparison of simulation results and experiment by Wang and Chi [31]

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Fig. 6

The temperature contours and streamlines at the mid Y-axis plane at Re = 300 for (a) e1 = e2 = 1; (b) e1 = 1, e2 = 0.2; and (c) e1 = 0.2, e2 = 1

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Fig. 7

The f factor while the Reynolds number change: (a) the f factors and (b) the ratio of f factors of the elliptic tubes with the circular tubes

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Fig. 8

The Colburn factor while the Reynolds numbers changed: (a) the Colburn factors and (b) the ratio of Colburn factors of the elliptic tubes with the circular tubes

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Fig. 9

The flowchart of combining CFD, ANN, and MOGA

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Fig. 10

Pareto front for the two objectives j and f factors



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