Numerical Investigation of Very Low Reynolds Cross Orifice Jet for Personalized Ventilation Applications in Aircraft Cabins

Florin Ioan Bode () and Ilinca Nastase ()
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Florin Ioan Bode: Mechanical Engineering Department, Technical University of Cluj-Napoca, Muncii Boulevard Nr. 103-105, D03, 400114 Cluj-Napoca, Romania
Ilinca Nastase: Building Services Department, CAMBI, Technical University of Civil Engineering in Bucharest, 66 Avenue Pache Protopopescu, 020396 Bucharest, Romania

IJERPH, 2022, vol. 20, issue 1, 1-26

Abstract: This study focuses on the numerical analysis of a challenging issue involving the regulation of the human body’s microenvironment through personalized ventilation. We intended to first concentrate on the main flow, namely, the personalized ventilation jet, before connecting the many interacting components that are impacting this microenvironment (human body plume, personalized ventilation jet, and the human body itself as a solid obstacle). Using the laminar model and the large eddy simulation (LES) model, the flow field of a cross-shaped jet with very low Reynolds numbers is examined numerically. The related results are compared to data from laser doppler velocimetry (LDV) and particle image velocimetry (PIV) for a reference jet design. The major goal of this study is to evaluate the advantages and disadvantages of the CFD approach for simulating the key features of the cross-shaped orifice jet flow. It was discovered that the laminar model overestimated the global jet volumetric flow rate and the flow expansion. LES looks more suitable for the numerical prediction of such dynamic integral quantities. In light of the computational constraints, it quite accurately mimics the mean flow behavior in the first ten equivalent diameters from the orifice, where the mesh grid was extremely finely tuned. From the perspective of the intended application, the streamwise velocity distributions, streamwise velocity decay, and volumetric flow rate anticipated by the LES model are rather well reproduced.

Keywords: lobed jet; axis switching; numerical simulation; LES; LDV; PIV; personalized ventilation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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