Computational assessment of thermo-hydraulic performance of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:msub><mml:mtext>Al</mml:mtext><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mtext>O</mml:mtext><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>-water nanofluid in hexagonal rod-bundles subchannel

Ahmed, Farid; Abir, M.A.; Bhowmik, Palash K.; Deshpande, Vaibhav R.; Mollah, Abdus Sattar; Kumar, Dinesh; Alam, Syed Bahauddin

doi:10.1016/j.pnucene.2021.103700

Cited by 24 publications

(14 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The connection between the nodes and elements over the contact regions and interfaces are maintained through contact meshing. The accuracy was maintained through creating polyhedral meshes using reverse cut cell method over the shell domain region [25][26] [27].…”

Section: Meshing and Grid Generationmentioning

confidence: 99%

Numerical Simulation of Heat Exchanger for Analyzing the Performance of Parallel and Counter Flow

Ahmed¹,

Sumon

Fuad³

et al. 2021

1790-5044

View full text Add to dashboard Cite

Heat exchangers are almost used in every industry. Among them, shell and tube heat exchangers are covering around 32% of the total heat exchanger. Numerical simulation of the Computational models is playing an important role for the prototypes including the Heat Exchanger Models for the improvement in modeling. In this study, the CFD analysis of parallel and counter flow shell and tube heat exchanger was performed. Following project, looked into the several aspects and these are the temperature, velocity, and pressure drop and turbulence kinetic energy along with the heat exchanger length. Hot water was placed in tube side and cold water was placed in shell side of the heat exchanger. Shell side cold temperature was increasing along the heat exchanger length. On the other side, tube side hot water temperature was decreasing along the tube length. This effect was more significance in counter flow rather than the parallel flow. Velocity was more fluctuating in the shell side due to presence of the baffles. Also following the same reason, pressure drop was higher in the shell side cold water rather than the tube side hot water. To measure the turbulence effect, turbulence kinetic energy was determined. Turbulence was decreasing first part of the shell and tube heat exchanger. But, it was increasing along through the rest part heat exchanger. All these observations and the outcomes are evaluated and then further analyzed

show abstract

Section: Meshing and Grid Generationmentioning

confidence: 99%

Numerical Simulation of Heat Exchanger for Analyzing the Performance of Parallel and Counter Flow

Ahmed¹,

Sumon

Fuad³

et al. 2021

1790-5044

View full text Add to dashboard Cite

show abstract

“…%. Ahmed et al 17 numerically investigated the thermo‐hydraulic performance of Al 2 O 3 nanofluids as coolant. They found that spacer grids increase the HTC, Nu, and 44.60% PD.…”

Section: Introductionmentioning

confidence: 99%

“…The specific heat of a nanofluid 13,14,17,21,22,24

{false(C_{p} false)}_{n f} = \frac{(1 - ϕ) {false(ρ C_{p} false)}_{f} + ϕ {false(ρ C_{p} false)}_{n p}}{ρ_{n f}} .

…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Use of segmental baffle in shell and tube heat exchanger for nano emulsions

Gugulothu

Sanke

2022

Heat Trans

View full text Add to dashboard Cite

Among the heat exchangers (HE), the shell and tube type is being widely used in different applications like oil, chemical, and power plant Industries. The incorporation of segmental baffles (SB) improves the HE capacity from higher temperature fluid to lower temperature fluid. Nanofluids can be effectively used to enhance the heat transfer rate. In this study, numerical simulations have been carried out in a shell and tube heat exchanger (STHX). Among HE design methods, Tubular Exchanger Manufacturers Association (TEMA) standard is being used for better design by many researchers. In this paper, the computational fluid dynamics analysis was carried out with Al2O3, CuO, and SiO2 nanofluids amid 1, 3, and 5 vol. % with water emulsion to enhance the heat transfer coefficient of STHX. The nanofluid has been used in the cold fluid of the HE and on the other side hot water is used. From the results, it is noticed that with the increase of Nanofluids, the value of heat transfer coefficients is found to be increasing. The overall heat transfer coefficient has been enhanced for Al2O3, CuO, and SiO2 about 10.41%, 12.27%, and 9.56%, respectively, at 0.22 kg/s for the 5 vol. % addition. It is also depicted that the pressure drop is increasing with the incorporation of nanofluids.

show abstract

“…CFD and related simulation tools were widely used in fluid flow, heat transfer, and biomaterial applications (Khan et al, 2017;Ahammad et al, 2019;Saha et al, 2020;Hasan et al, 2021). Additionally, CFD and related simulation tools were commonly used in various nuclear reactor applications (Mahaffy et al, 2007;Shamim et al, 2016;Sharma et al, 2019;Ahmed, 2021aAhmed, , 2021bBhowmik and Suh, 2021). Researchers performed CHT studies using different multiphysics CFD software.…”

Section: Introductionmentioning

confidence: 99%

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Bhowmik

Schlegel

Kalra

et al. 2021

Exp. Comput. Multiph. Flow

Self Cite

View full text Add to dashboard Cite

This paper presents the computational fluid dynamics (CFD) validation and scaling assessment of the condensation heat transfer (CHT) models in the presence of non-condensable gas for the passive containment cooling system (PCCS) of the small modular reactor (SMR). The STAR-CCM+ software with 3D scaled-down SMR containment geometries was used in CFD simulations with steam and non-condensable gas (NCG). The limitations and approximations of the previous studies were resolved to avoid scaling distortion and uncertainties. Air was used as the NCG gas with steam. The multi-component gas model was used to define the steam-NCG mixture, and the condensation-seed parameter was used as the source term for the fluid film model. Three different turbulence models were used to check the heat flux performances and temperature distributions on the coolant side. The heat flux was estimated from the axial coolant bulk temperature, which was identical to the test data reduction method. An implicit-unsteady numerical solver was applied to the conjugate heat transfer models between the gas, liquid, and solid regions. Detailed simulations were performed, and simulation results were validated with the measured parameters experimentally. The condensation heat transfer performance was quantified using non-dimensional numbers and compared for different scaled geometries to identify the scaling distortions.

show abstract

Computational assessment of thermo-hydraulic performance of Al2O3-water nanofluid in hexagonal rod-bundles subchannel

Cited by 24 publications

References 58 publications

Numerical Simulation of Heat Exchanger for Analyzing the Performance of Parallel and Counter Flow

Numerical Simulation of Heat Exchanger for Analyzing the Performance of Parallel and Counter Flow

Use of segmental baffle in shell and tube heat exchanger for nano emulsions

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Contact Info

Product

Resources

About