Experimental and Numerical Investigation of Two-Dimensional Parallel Jets

Anderson, Elgin A.; Spall, Robert E.

doi:10.1115/1.1363701

Cited by 118 publications

(78 citation statements)

References 16 publications

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“…The coherence adaptivity in ANMT and AWAMT reduces over-detection and limits the assimilated modulation, corroborating the importance of the proposed adaptivity process. Travelling downstream, the two pore jets increase in width and the centrelines arc inwards to merge at x/D disc = 0.7 similar to well-documented parallel jet theory (Anderson and Spall 2001). Velocity gradients gradually reduce in strength and validation based on vector magnitude and direction becomes less stringent, causing ANMT and AWAMT to attain nigh equal results.…”

Section: Porous Discsupporting

confidence: 64%

Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters

Masullo

Theunissen

2016

Exp Fluids

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Section: Porous Discsupporting

confidence: 64%

Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters

Masullo

Theunissen

2016

Exp Fluids

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“…Previous studies [31][32][33] on the dual moderately-spaced jets in a quiescent ambient reported that after ejection, two jets will merge and combine into one due to the mutual entrainment of each other. More importantly, a recirculation zone will show up between them.…”

Section: B Size Of the Interaction Zonementioning

confidence: 99%

2D PIV measurement on the interaction zone between two parallel planar jets in a crossflow

et al. 2017

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This paper reports an experimental investigation on the zone between two parallel planar jets in a crossflow, termed as the interaction zone. The experiment was conducted using 2D PIV measurement, which involves a test matrix designed for a parametric study. Based on both mean and instantaneous results, effects of different parameters, i.e. front jet velocity, space between the two jets, and crossflow flow velocity, on the interaction zone were analysed. The two coupled recirculation structures, size, velocity field, and turbulence characteristics of the interaction zone are discussed. In addition, the large-scale vortices inside the interaction zone were recognised using Γ1 value. How these different parameters affect the evolution of these vortices was also studied.

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“…Durve et al (2012) Anderson and Spall (2001) who reported that both the k-ε std. and RSM were able to accurately predict the location of merging and combined points.…”

Section: Twin Plane Jetsmentioning

confidence: 99%

“…For twin plane jets this coincides with the stream-wise location at which the maximum stream-wise velocity occurs on the symmetry plane (opposed to two peaks) (Anderson and Spall, 2001). Some authors also used an extrapolation of the jet central streamline to the symmetry plane as combined point location (Fujisawa et al, 2004;Murai et al, 1976).…”

Section: Twin Plane Jetsmentioning

confidence: 99%

Experimental and Numerical Investigations of Confluent Round Jets

Svensson¹

2015

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Unconfined multiple interacting confluent round jets are interesting from a purely scientific point of view, as interaction between neighboring jets brings additional complexity to the flow field. Unconfined confluent round jets also exist in various engineering applications, such as ventilation supply devices, sewage disposal systems, combustion burners, chemical mixing or chimney stacks. Even so, little scientific attention has been paid to unconfined confluent round jets, and detailed investigations on the complete three-dimensional turbulent flow field of confluent jet configurations issuing into an unconfined stagnant environment are scarce.The present work uses both advanced measurement techniques and computational models to provide deeper understanding of the turbulent flow field development of unconfined confluent round jets. Both Laser Doppler Anemometry (LDA) and Particle Image Velocimetry (PIV) have been used to measure mean velocity and turbulence properties within two setups, consisting of a single row of 1×6 jets and a square in-line array of 6×6 confluent jets. LDA was used for measurements very close to the nozzle inlets and to verify the main findings made with PIV. A comparison between LDA and PIV results showed that the two measurement techniques produced results that are in good agreement with each other.Simulations using Computational Fluid Dynamics (CFD) of the 6×6 setup were conducted using three different Reynolds Averaged Navier-Stokes (RANS) turbulence models: the standard k-ε, the RNG k-ε and the Reynolds Stress Model (RSM). The results from the CFD simulations were compared with the experimental PIV data. The employed RANS turbulence models were all capable of accurately predicting mean velocities and turbulent properties in the investigated confluent jet array. In general the RSM and the standard k-ε model provided smaller deviations between numerical and experimental results than the RNG k-ε model. In terms of mean velocity the second-order closure model (RSM) was not found to be superior to the less complex standard k-ε model.The validated CFD results provide data at all locations in the solution domain and the computational results were used to further analyze the investigated confluent jet array. The validated CFD model was also employed in a parametrical investigation, including five independent variables: inlet velocity, nozzle diameter, nozzle edge-toedge spacing, nozzle height and the number of jets in the array. The parametrical investigations made use of statistical methods in the form of Response Surface Methodology and Box-Behnken Design of Experiments. The derived response surface models provided information on the principal influence and relative importance of the investigated parameters within the design limits.ii The positions of the jets within the array strongly influence both mean velocity and turbulence. In all investigated setups the jets experience merging and combining. Square arrays also include considerable jet convergence, which was not present in th...

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Experimental and Numerical Investigation of Two-Dimensional Parallel Jets

Cited by 118 publications

References 16 publications

Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters

Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters

2D PIV measurement on the interaction zone between two parallel planar jets in a crossflow

Experimental and Numerical Investigations of Confluent Round Jets

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