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Research Papers

Development of a Hybrid Lagrangian–Eulerian Model to Describe Spark-Ignition Processes at Engine-Like Turbulent Flow Conditions

[+] Author and Article Information
Riccardo Scarcelli, Anqi Zhang, Thomas Wallner, Sibendu Som

Energy Systems Division,
Argonne National Laboratory,
Lemont, IL 60439

Jing Huang, Sameera Wijeyakulasuriya, Yijin Mao

Convergent Science, Inc.,
Madison, WI 53719

Xiucheng Zhu

Department of Mechanical
Engineering-Engineering Mechanics,
Michigan Technological University,
Houghton, MI 49931

Seong-Young Lee

Department of Mechanical Engineering-
Engineering Mechanics,
Michigan Technological University,
Houghton, MI 49931

1Present address: Aramco Services Co., Novi, MI 48377.

2Present address: Shenzhen Escope Technology Co. Ltd, Shenzhen 518052, China.

Manuscript received March 19, 2019; final manuscript received March 25, 2019; published online June 5, 2019. Editor: Jerzy T. Sawicki. The United States Government retains, and by accepting the article for publication, the publisher acknowledges that the United States Government retains, a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for United States government purposes.

J. Eng. Gas Turbines Power 141(9), 091009 (Jun 05, 2019) (8 pages) Paper No: GTP-19-1137; doi: 10.1115/1.4043397 History: Received March 19, 2019; Revised March 25, 2019

With the engine technology moving toward more challenging (highly dilute and boosted) operation, spark-ignition processes play a key role in determining flame propagation and completeness of the combustion process. On the computational side, there is plenty of spark-ignition models available in literature and validated under conventional, stoichiometric spark ignition (SI) operation. Nevertheless, these models need to be expanded and developed on more physical grounds since at challenging operation they are not truly predictive. This paper reports on the development of a dedicated model for the spark-ignition event at nonquiescent, engine-like conditions, performed in the commercial CFD code converge. The developed methodology leverages previous findings that have expanded the use and improved the accuracy of Eulerian-type energy deposition models. In this work, the Eulerian energy deposition is coupled at every computational time-step with a Lagrangian-type evolution of the spark channel. Typical features such as spark channel elongation, stretch, and attachment to the electrodes are properly described to deliver realistic energy deposition along the channel during the entire ignition process. The numerical results are validated against schlieren images from an optical constant volume chamber and show the improvement in the simulation of the spark channel during the entire ignition event, with respect to the most commonly used energy deposition approach. Further developmental pathways are discussed to provide more physics-based features from the developed ignition model in the future.

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References

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Figures

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Fig. 1

Shrouded fan used to generate flow across the spark plug gap in the CV at MTU

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Fig. 2

Schlieren imaging of spark channel and flame kernel

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Fig. 3

Computational domain

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Fig. 4

Computational mesh

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Fig. 5

Evolution of the ignition energy source using the baseline solver

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Fig. 6

Folding of the ignition energy source line and uncontrolled increase of the number of line source points

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Fig. 7

Evolution of the ignition energy source using the improved model via a UDF

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Fig. 8

Comparison between improved and baseline model

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Fig. 9

Comparison between the LESI model and the state-of-the-art energy deposition model

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Fig. 10

Comparison between a long and a short BD event, using a spherical ignition source

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