Research Papers: Techniques and Procedures

Full-Field Dependence on Inlet Modeling of Non-Isothermal Turbulent Jets Using Validated Large Eddy Simulations

[+] Author and Article Information
Sasan Salkhordeh

Institute of Scientific Computing,
Texas A&M University,
College Station, TX 77840

Mark L. Kimber

Department of Nuclear Engineering,
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: mark.kimber@tamu.edu

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received August 30, 2018; final manuscript received December 12, 2018; published online January 31, 2019. Assoc. Editor: Sergio Pirozzoli.

J. Fluids Eng 141(8), 081401 (Jan 31, 2019) (8 pages) Paper No: FE-18-1571; doi: 10.1115/1.4042373 History: Received August 30, 2018; Revised December 12, 2018

Inlet conditions for a turbulent jet are known to affect the near field behavior but eventually lose their significance downstream. Metrics of importance are often derived from mean and fluctuating velocity components, but little has been done to explore inlet effects on transport of a scalar quantity (e.g., temperature). This paper aims to provide fundamental understanding in this regard and employs large eddy simulations (LES) of a nonisothermal round turbulent jet (Reynolds number of 16,000) with geometry and boundary conditions mimicked after a well-known experimental study. The jet inlet is first modeled with a standard Blasius profile and next by performing a simulation of the upstream flow modeled with either detached eddy simulations (DES) or LES for the second and third approaches, respectively. Only the model employing LES for both upstream nozzle and downstream jet is found to completely capture the root-mean-square (RMS) temperature behavior, namely, a distinct hump when normalized by the local mean centerline temperature at roughly five diameters downstream. Regarding the far field conditions, all three inlet conditions converge for the centerline values, but the radial distributions still portray non-negligible differences. Not surprisingly, the complete LES modeling approach agrees the best with experimental data for mean and RMS distributions, suggesting that the inlet condition plays a vital role in both the near and far field of the jet. The current effort is the very first LES study to successfully capture flow physics for a nonisothermal round turbulent jet in near and far field locations.

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Grahic Jump Location
Fig. 1

Computational mesh employed in LES efforts to capture downstream flow physics: (a) full domain and (b) mesh at the jet inlet plane

Grahic Jump Location
Fig. 2

(a) Computational model of the upstream smooth contraction used in the experiments reported by Mi et al. [19] and (b) locations of the probes at the inlet of the jet

Grahic Jump Location
Fig. 3

Velocity data at the inlet plane: (a) mean velocities and (b) RMS profiles

Grahic Jump Location
Fig. 4

Instantaneous flow field data at the inlet plane: LES-MI-F (left), LES-MI-D (middle), and LES-MI (right). The plane is located at x/D = 0.05.

Grahic Jump Location
Fig. 5

Axial variations of ((a) and (b)) centerline velocity and (c) streamwise RMS velocity normalized by the inlet velocity for different cases as provided in Table 1

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Fig. 6

Streamwise variations of the normalized inverse temperature mean along the centerline

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Fig. 7

Radial profiles of the normalized temperature mean, averaged from 10 ≤ x/D ≤ 60

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Fig. 8

Centerline variation of the temperature RMS, θ', normalized by inlet temperature

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Fig. 9

Centerline variation of the temperature RMS, θ', normalized by centerline temperature

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Fig. 10

Radial profiles of temperature RMS normalized by centerline temperature (x/D = 60)



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