Three-dimensional numerical simulation of external fluid flow and heat transfer of a heat exchanger in a wind tunnel using porous media model

Moradi, Iman; Karimipour, Arash; Afrand, Masoud; Li, Zhixiong; Bach, Quang‐Vu

doi:10.1007/s10973-020-10184-1

Cited by 18 publications

(2 citation statements)

References 38 publications

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“…This effectively addresses the computational challenges associated with simulating the entire model, permitting the use of a coarser grid than what a complete geometric model would require. Since its inception, the PM approach has been employed to analyze various geometric shapes, including turbine engines [14], wind tunnels [15], agricultural products [16], tube bundles [17,18], and heat exchangers [19,20].…”

Section: Introductionmentioning

confidence: 99%

A Study of the Influence of Fin Parameters on Porous-Medium Approximation

Tong,

Li,

Wang

et al. 2024

Energies

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The porous-medium approximation (PM) approach is extensively employed in large-quantity grid simulations of heat exchangers, providing a time-saving approach in engineering applications. To further investigate the influence of different geometries on the implementation of the PM approach, we reviewed existing experimental conditions and performed numerical simulations on both straight fins and serrated fins. Equivalent flow and heat-transfer factors were obtained from the actual model, and computational errors in flow and heat transfer were compared between the actual model and its PM model counterpart. This exploration involved parameters such as aspect ratio (a*), specific surface area (Asf), and porosity (γ) to evaluate the influence of various geometric structures on the PM approach. Whether in laminar or turbulent-flow regimes, when the aspect ratio a* of straight fins is 0.98, the flow error (δf) utilizing the PM approach exceeds 45%, while the error remains within 5% when a* is 0.05. Similarly, for serrated fins, the flow error peaks (δf > 25%) at higher aspect ratios (a* = 0.61) with the PM method and reaches a minimum (δf < 5%) at lower aspect ratios (a* = 0.19). Under the same Reynolds numbers (Re), employing the PM approach results in an increased heat-transfer error (δh)with rising porosity (γ) and decreasing specific surface area (Asf), both of which remained under 10% within the range of this study. At lower aspect ratios (a*), the fin structure becomes more compact, resulting in a larger specific surface area (Asf) and smaller porosity (γ). This promotes more uniform flow and heat transfer within the model, which is closer to the characteristics of PM. In summary, for straight fins at 0 < a* < 0.17 in the laminar regime (200 < Re < 1000) and in the turbulent regime (1200 < Re < 5000) and for serrated fins at 0 < a* < 0.28 in the laminar regime (400 < Re < 1000) or 0 < a* < 0.32, in the turbulent regime (2000 < Re < 5000), the flow and heat-transfer errors are less than 15%.

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Section: Introductionmentioning

confidence: 99%

A Study of the Influence of Fin Parameters on Porous-Medium Approximation

Tong,

Li,

Wang

et al. 2024

Energies

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“…Therefore, vast investigations have been conducted in the improvement of performance of the car radiator 2,3 . These efforts have different aspects including research on the structure 4 and material of the radiator, investigation of increasing the rate of heat transfer in the cooling fluid of engine that passes through the radiator 5-8 , enhancement of the cooling capacity of the surrounding cool air 9 , proper orientation of radiator by appropriate front-end configuration 10 etc. Research on improving the structure of the radiator also includes various fields, including investigation of application of novel materials to manufacture the radiator, research on shape of tubes and fins and study on geometric optimization of the components of the radiator.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analytical framework for optimal sizing of louvered fin flat tube car radiators

Hadidi

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In the present research, a comprehensive analytical framework is proposed for optimal sizing of louvered fin flat tube car radiators. In order to perform optimal sizing, eleven geometric variables, which are all geometric parameters of the radiator, were selected as the design parameters. These variables include large and small diameters of tubes, length and wall thickness of tubes, fins’ pitch, louvers’ pitch on each fin, length of the fin, louver length and height, fin thickness, number of fins and louver angle on fins. The effects of all of these parameters on the cooling capacity and total weight of the radiator are investigated in the form of single objective optimization problems in which cooling capacity should be maximized and total weight of the radiator should be minimized. Using the proposed framework, the cooling capacity of the radiator has increased by about 8.8% compared to the base design. It is shown that some geometric parameters have the opposite effect on objective functions. Therefore, an analytical multi-objective optimization procedure is proposed to satisfy both of the goals, simultaneously. The values of the geometric parameters determined in this paper are more practical in terms of manufacturing than the values suggested in the base design.

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Establishing artificial neural network to investigate thermal properties of carbon nanotube/zinc oxide composite dispersed in water

Alkanhal

2021

Math Methods in App Sciences

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Nanofluid refers to the mixture of fluid and solid nanoparticles (NPs). If this mixture contains one NP or fluid, it is called ‘mono nanofluid’ (MN). Further, if this mixture contains more than one NPs or fluid, it is called ‘hybrid nanofluid’ (HN). In this research, first, zinc oxide NP was dispersed in the water base fluid and formed an MN. Then, thermal conductivity (TC) of MN was measured. After that, multiwalled carbon nanotube (MWCNT) NP was added to the MN and formed an HN. Further, TC of HN was measured. Both MN and HN TCs were compared, and the results revealed that by adding MWCNT, TC enhanced by about 18.79% (from 25.12% of MN to 43.91% of HN). On the other hand, to analyze the phase structure and to observe the microstructure, X‐ray diffraction analysis was examined. The measured TC for both samples was at volume fractions up to 1.0% and temperatures up to 50°C. After an experimental study, two novel correlations were calculated by the curve fitting method for MN and HN individually. In the end, to predict the other Vf and temperature, the artificial neural network approach has been developed.

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Three-dimensional numerical simulation of external fluid flow and heat transfer of a heat exchanger in a wind tunnel using porous media model

Cited by 18 publications

References 38 publications

A Study of the Influence of Fin Parameters on Porous-Medium Approximation

A Study of the Influence of Fin Parameters on Porous-Medium Approximation

Comprehensive analytical framework for optimal sizing of louvered fin flat tube car radiators

Establishing artificial neural network to investigate thermal properties of carbon nanotube/zinc oxide composite dispersed in water

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