American Journal of Energy Research
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American Journal of Energy Research. 2021, 9(2), 84-91
DOI: 10.12691/ajer-9-2-2
Open AccessReview Article

Numerical Simulation of Cross Flow in In-Line Square Tube Array to Estimate the Convective Heat Transfer Coefficient

Hossin Omar1, , Suliman Alfarawi1, Azeldin El-sawi1 and Mohammed Zeo1

1Department of Mech. Eng. Uni. Of Benghazi, Libya

Pub. Date: October 26, 2021

Cite this paper:
Hossin Omar, Suliman Alfarawi, Azeldin El-sawi and Mohammed Zeo. Numerical Simulation of Cross Flow in In-Line Square Tube Array to Estimate the Convective Heat Transfer Coefficient. American Journal of Energy Research. 2021; 9(2):84-91. doi: 10.12691/ajer-9-2-2


Flow cross tube banks is an important application of different types of heat exchangers, such as compact heat exchangers, and baffled shell and tube heat exchangers. Baffles are used in shell and tube heat exchangers to allow the flow to become cross the tubes. This ensures the mix and increases the convective heat transfer coefficient. Design models of baffled shell and tube heat exchanger, which ensures the cross flow, relay on convective heat transfer coefficient. Which obtained from empirical correlation available in the literature. This work is a numerical approach to simulate flow cross a single tube and an in-line square tube array to estimate the convective heat transfer coefficient. This approach is an alternative to the experimental approach. In order to calculate the heat transfer coefficient and it’s relation to the Reynolds number for a single tube and for an in-line square tube array, a Computation Fluid Dynamic [CFD] software (ANSYS FLUENT), Which utilizes Reynolds Average Navier Stokes [RANS] method to solve the momentum equation in 3-D, was utilized to conduct the numerical simulations. Each model was simulated at 4 different entry velocities of (10, 15, 20, 25 m/s) for a Reynold’s number ranging between 6000-35000. The turbtulence model used was K-ω sst. The results obtained via the CFD simulations were validated with an empirical correlation for the two models. These results have deviations from the empirical results ranging between 5 to 22%. The numerical simulation and the empirical correlation results have identical trends for the case of a single tube and for the case of in-line square tube array. For further improvement in results validations, further studies should be made.

CFD: Computation Fluid Dynamic RANS: Reynolds Average Navier Stokes 3-D: three dimensional PDE: Partial Differential Equations FDM: Finite Difference Method FEM: Finite Element Method FVM: Finite Volume Method

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