Numerical Analysis of the Heat and Mass Transfer in a Ventilated Cavity for Turbulent Convective Flow With Extreme Hot and Humid Climate Conditions DOI
J. Serrano‐Arellano, N. Demesa, K.M. Aguilar-Castro

et al.

Heat Transfer, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

ABSTRACT To analyze the temperature and relative humidity ( RH ) in a room located Lacandona jungle Chiapas, Mexico, numerical heat mass transfer study was performed. The carried out ventilated cavity, by introducing air flow into user‐occupied spaces. analyzed combination of percentage to create thermal comfort conditions. finite volume method used solve governing equations, while pressure–velocity coupling done with SIMPLEC algorithm. Turbulent airflow considered, modeled using k–ε turbulence model, Reynolds numbers Re range from 100 5000. Seven sets weather conditions were considered for warm April day solar radiation values that ranged 0 981 W/m², outdoor temperatures between 19.9°C 35.3°C, as well 42% up 100%. temperature, , distribution efficiencies, fluxes. It found average closest 25.8°C. This corresponds an = 5000, being best hygrothermal 50%. However, this level is unattainable many conditioning systems.

Language: Английский

Numerical Analysis of Shear-Dependent Unsteady Non-Newtonian Fluid Flow and Heat Transfer in Open-Ended Cavities DOI
Razi Khan, Jorge Tiago,

Adeel Ahamd

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Free Convective Heat Transfer Enhancement by Combining the Cavity Inclination and Twin Fin Orientation in Air‐Filled Cavities DOI

Souad Benarrache,

Aissa Atia, Hanane Maria Regue

et al.

Heat Transfer, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

ABSTRACT Passive thermal management is an established and cost‐effective way of cooling electronic devices. This paper aims to investigate the potential heat transfer enhancement by combining influence cavity inclination angle twin fin orientation for air‐filled cavity. The SIMPLE algorithm used solve governing conservation equations, which are discretized using finite volume method. field internal fluid flow calculated a range Rayleigh numbers (10 4 ≤ Ra 5 × 10 ), (0° φ 60°), (−60° γ b positions (0.375 L 0.75, 0.25 0.625). Outcomes indicate that increasing number leads in intensity Furthermore, rate enhanced positively orienting fins optimal = 15°. Moreover, installing plate on upper part left hot sidewall improves characteristics. Combining shows enhancement, achieves its maximum 15° with positive orientations 60°. up 15.32% compared reference case. These findings can help design more efficient air‐based systems electronics as well other applications.

Language: Английский

Citations

0

Multi-Expression Programming for Enhancing MHD Heat Transfer in a Nanofluid-Filled Enclosure with Heat Generation and Viscous dissipation DOI
Naeem Ullah, Aneela Bibi, Dianchen Lu

et al.

Computer Physics Communications, Journal Year: 2025, Volume and Issue: unknown, P. 109649 - 109649

Published: April 1, 2025

Language: Английский

Citations

0

Numerical Analysis of the Heat and Mass Transfer in a Ventilated Cavity for Turbulent Convective Flow With Extreme Hot and Humid Climate Conditions DOI
J. Serrano‐Arellano, N. Demesa, K.M. Aguilar-Castro

et al.

Heat Transfer, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

ABSTRACT To analyze the temperature and relative humidity ( RH ) in a room located Lacandona jungle Chiapas, Mexico, numerical heat mass transfer study was performed. The carried out ventilated cavity, by introducing air flow into user‐occupied spaces. analyzed combination of percentage to create thermal comfort conditions. finite volume method used solve governing equations, while pressure–velocity coupling done with SIMPLEC algorithm. Turbulent airflow considered, modeled using k–ε turbulence model, Reynolds numbers Re range from 100 5000. Seven sets weather conditions were considered for warm April day solar radiation values that ranged 0 981 W/m², outdoor temperatures between 19.9°C 35.3°C, as well 42% up 100%. temperature, , distribution efficiencies, fluxes. It found average closest 25.8°C. This corresponds an = 5000, being best hygrothermal 50%. However, this level is unattainable many conditioning systems.

Language: Английский

Citations

0