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Research Papers

Numerical Study of Counterflow Diffusion Flame and Water Spray Interaction

[+] Author and Article Information
Santanu Pramanik

Department of Mechanical Engineering,
Jadavpur University,
Kolkata 700032, India
e-mail: santanupramanik07@gmail.com

Achintya Mukhopadhyay

Department of Mechanical Engineering,
Jadavpur University,
Kolkata 700032, India
e-mail: achintya.mukho@gmail.com

1Present address: Combustion and Spray Lab, Mechanical Engineering Department, Indian Institute of Science, Bangalore 560012, India.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS. Manuscript received May 29, 2014; final manuscript received February 3, 2015; published online November 11, 2015. Assoc. Editor: Suman Chakraborty.

J. Thermal Sci. Eng. Appl 8(1), 011018 (Nov 11, 2015) (8 pages) Paper No: TSEA-14-1134; doi: 10.1115/1.4030735 History: Received May 29, 2014

This paper reports numerical investigation concerning the interaction of a laminar methane–air counterflow diffusion flame with monodisperse and polydisperse water spray. Commercial code ansys fluent with reduced chemistry has been used for investigation. Effects of strain rate, Sauter mean diameter (SMD), and droplet size distribution on the temperature along stagnation streamline have been studied. Flame extinction using polydisperse water spray has also been explored. Comparison of monodisperse and polydisperse droplet distribution on flame properties reveals suitability of polydisperse spray in flame temperature reduction beyond a particular SMD. This study also provides a numerical framework to study flame–spray interaction and extinction.

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References

Figures

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Fig. 10

Variation of maximum temperature drop along stagnation streamline with monodisperse water spray (a = 68 s−1, and water flow rate 5 ml/min)

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Fig. 1

Contours of static temperature of flame validated with Ref. [12] (Fig. 4(a) of Ref. [12])

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Fig. 2

Comparison of temperature variation along the axis of symmetry (Fig. 5(a) of Ref. [12])

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Fig. 3

Comparison of velocity variation along the axis of symmetry (Fig. 7 of Ref. [12])

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Fig. 4

Variation of normalized OH mass fraction along the axis of symmetry (Fig. 9(b) of Ref. [12])

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Fig. 5

Contours of static temperature of flame validated with Ref. [13] (Fig 4(a) in Ref. [13])

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Fig. 6

Rosin–Rammler droplet distribution for various exponent values: n = 1, 4.0286, and 10

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Fig. 7

Variations of velocity magnitude along stagnation streamline (Fig. 5 in Ref. [13])

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Fig. 8

Variations of number mean droplet diameter along stagnation streamline (Fig. 5 in Ref. [13])

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Fig. 9

Variations of mass flux of droplets along stagnation streamline (Fig. 5 in Ref. [13])

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Fig. 12

Rosin–Rammler curve fits for experimental droplet distribution obtained from Ref. [4] (Fig. 2 of Ref. [4]): (a) Qatom = 9 l/min and (b) Qatom = 3 l/min

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Fig. 11

Variation of normalized maximum water mass fraction along stagnation streamline with monodisperse water spray (a = 68 s−1, water flow rate = 5 ml/min)

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Fig. 13

Variation of maximum temperature along stagnation streamline with water mass flow rate for SMD = 40 and 114 μm

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Fig. 14

Contours of static temperature for various water flow rates for SMD = 114 μm: (a) 10, (b) 15, (c) 20, (d) 21, (e) 22, and (f) 23 ml/min

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Fig. 15

Variation of maximum temperature along stagnation streamline with SMD (a = 68 s−1 and water flow rate = 5 ml/min)

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Fig. 16

Variation of maximum water mass fraction along stagnation streamline with SMD (a = 68 s−1 and water flow rate = 5 ml/min)

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