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Research Papers

New Approach of Gas–Liquid Computational Fluid Dynamics Simulations for the Study of Minimum Quantity Cooling With Airblast Plain-Jet Injectors

[+] Author and Article Information
Christophe Diakodimitris

Aero-Thermo-Mechanics Department,
Université Libre de Bruxelles,
Brussels 1050, Belgium
e-mail: christophe.diakodimitris@ulb.ac.be

Youssef R. Iskandar

Mechanical Engineering Department,
McGill University,
Montreal, PQ H3A OG4, Canada
e-mail: youssef.iskandar@mail.mcgill.ca

Patrick Hendrick

Aero-Thermo-Mechanics Department,
Université Libre de Bruxelles,
Brussels 1050, Belgium
e-mail: patrick.hendrick@ulb.ac.be

Pierre Slangen

LGEI-EqRIN Instrumentation Laser et Optique Appliquée,
Ecole des Mines d'Alès,
Alès 30319, France
e-mail: Pierre.Slangen@mines-ales.fr

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING ENGINEERING. Manuscript received March 15, 2012; final manuscript received May 16, 2013; published online July 17, 2013. Assoc. Editor: Steven J. Skerlos.

J. Manuf. Sci. Eng 135(4), 041009 (Jul 17, 2013) (9 pages) Paper No: MANU-12-1083; doi: 10.1115/1.4024632 History: Received March 15, 2012; Revised May 16, 2013; Accepted May 17, 2013

Due to the complexity of multiphase flows, they are often studied with numerical simulations. These simulations must be validated with experimental results. This paper introduces a new approach to initialize the continuous phase of gas–liquid flows generated by airblast nozzles for microlubrication applications with a recently modified commercial computational fluid dynamics (CFD) code FINE™/Open. Microlubrication is a technology used in metal machining where the coolant flow rate is lower than with conventional flood cooling. In this paper, single-phase gas and two-phase liquid–gas flows are studied. The continuous phase is simulated using Reynolds-averaged Navier–Stokes (RANS) equations coupled with a k–ε turbulence model and the dispersed phase is simulated using a Lagrangian method. To validate these simulations, particle image velocimetry (PIV) and particle dynamics analysis (PDA) measurements have been performed. This study illustrates the possibility of performing complex two-phase simulations with the help of single-phase studies to initialize the continuous phase of the flow (i.e., the gas). The single-phase flow also helps in estimating the magnitudes of the droplet velocities.

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References

Figures

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Fig. 2

Schematic representation of the experimental set-up for the PDA and PIV technique

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Fig. 1

Coaxial airblast plain-jet atomizer configuration (dimensions in mm)

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Fig. 3

Meshed geometry of the atomizer and ambient environment

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Fig. 4

Illustration of the magnitude of the velocity v (single-phase flow): m·g = 6.20·10-4kg/s

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Fig. 5

Comparison between single-phase flow simulations and PIV technique for different air and oil flows; (a) m·g = 5.00·10-4 kg/s, x = 40 mm; (b) m·g = 5.00·10-4 kg/s, x = 60 mm; (c) m·g = 5.60·10-4 kg/s, x = 40 mm; (d) m·g = 5.60·10-4kg/s, x = 60 mm; (e) m·g = 6.20·10-4 kg/s, x = 40 mm; (f) m·g = 6.20·10-4 kg/s, x = 60 mm

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Fig. 7

Flow chart of the solution procedure

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Fig. 8

Comparison between two-phase flow simulations and PDA technique for different MQC flows; (a) m·g = 6.20·10-4 kg/s, gas phase; (b) m·g = 6.20·10-4 kg/s,m·l = 1.66·10-4 kg/s, liquid phase; (c) m·g = 6.20·10-4 kg/s,m·l = 1.66·10-4 kg/s, liquid phase; (d) m·g = 6.20·10-4 kg/s,m·l = 1.66·10-4 kg/s, liquid phase

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Fig. 6

Comparison between PIV and PDA techniques for different air and oil flows; (a) m·g = 5.00·10-4 kg/s,m·l = 1.66·10-4 kg/s,x = 40 mm; (b) m·g = 5.00·10-4 kg/s,m·l = 2.92·10-4 kg/s,x = 40 mm; (c) m·g = 5.60·10-4 kg/s,m·l = 1.66·10-4 kg/s,x = 40 mm; (d) m·g = 5.60·10-4 kg/s, m·l = 2.92·10-4 kg/s,x = 40 mm; (e) m·g = 6.20·10-4 kg/s,m·l = 1.66·10-4 kg/s,x = 40 mm; (f) m·g = 6.20·10-4 kg/s,m·l = 2.92·10-4 kg/s,x = 40 mm

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