Numerical Investigation of the Flow and Heat Transfer Generated by Natural Convection and Surface Radiation in an Open Enclosure

Zouhair Charqui, Mohammed Boukendil, Lahcen El Moutaouakil, Zaki Zrikem

2021

Abstract

This work presents a numerical investigation of surface radiation (SR) coupled to natural convection (NC) within an air-filled open cavity having the same emissivity on its three walls. The control volume method combined with the algorithm SIMPLE is used to resolve the conservation equations. The radiosity method is adopted to determine the radiative component of the heat exchange between all the cavity surfaces. This paper aims to analyze the effects of two parameters controlling the flow and heat transfer, namely the emissivity and the Rayleigh number. The simulations carried out show that SR makes the streamlines and isotherms very sensitive to the Rayleigh number. In addition, the convective, radiative, and total heat transfer in the cavity increase by increasing this parameter. The findings also reveal that the emissivity has almost no effect on the streamlines for large Rayleigh numbers, while it has a remarkable impact on the isotherms. Furthermore, increasing this parameter leads to an important increase (slight decrease) in the radiative (convective) flux.

Paper Citation

in Harvard Style

Charqui Z., Boukendil M., El Moutaouakil L. and Zrikem Z. (2021). Numerical Investigation of the Flow and Heat Transfer Generated by Natural Convection and Surface Radiation in an Open Enclosure. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 371-375. DOI: 10.5220/0010734600003101

in Bibtex Style

@conference{bml21,
author={Zouhair Charqui and Mohammed Boukendil and Lahcen El Moutaouakil and Zaki Zrikem},
title={Numerical Investigation of the Flow and Heat Transfer Generated by Natural Convection and Surface Radiation in an Open Enclosure},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={371-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010734600003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Numerical Investigation of the Flow and Heat Transfer Generated by Natural Convection and Surface Radiation in an Open Enclosure
SN - 978-989-758-559-3
AU - Charqui Z.
AU - Boukendil M.
AU - El Moutaouakil L.
AU - Zrikem Z.
PY - 2021
SP - 371
EP - 375
DO - 10.5220/0010734600003101