In this study, computational fluid dynamics (CFD) modeling capability of near-wall flow and heat transfer was evaluated against experimental data. Industry-standard wall models for RANS and large-eddy simulation (LES) (law of the wall) were examined against the near-wall flow and heat flux measurements from the transparent combustion chamber (TCC-III) engine. The study shows that the measured, normalized velocity profile does not follow the law of the wall. This wall model, which provides boundary conditions for the simulations, failed to predict the measured velocity profiles away from the wall. LES showed a reasonable prediction in peak heat flux and peak in-cylinder pressure to the experiment, while RANS-heat flux was closer to experimental heat flux but lower in peak pressure. The measurement resolution is higher than that of the simulations, indicating that higher spatial resolution for CFD is needed near the wall to accurately represent the flow and heat transfer. Near-wall mesh refinement was then performed in LES. The wall-normal velocity from the refined mesh case matches better with measurements compared with the wall-parallel velocity. Mesh refinement leads to a normalized velocity profile that matches with measurement in trend only. In addition, the heat flux and its peak value matches well with the experimental heat flux compared with the base mesh.
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December 2019
Research-Article
Comparison of Near-Wall Flow and Heat Transfer of an Internal Combustion Engine Using Particle Image Velocimetry and Computational Fluid Dynamics
Angela Wu,
Angela Wu
1
Department of Mechanical Engineering,
1231 Beal Avenue, 2026 Auto Lab,
Ann Arbor, MI 48109
e-mail: atswu@umich.edu
University of Michigan
,1231 Beal Avenue, 2026 Auto Lab,
Ann Arbor, MI 48109
e-mail: atswu@umich.edu
1Corresponding author.
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Seunghwan Keum,
Seunghwan Keum
Modeling and Simulation, GM R&D,
30565 William Durant Boulevard,
Warren, MI 48092
e-mail: seunghwan.keum@gm.com
30565 William Durant Boulevard,
Warren, MI 48092
e-mail: seunghwan.keum@gm.com
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Mark Greene,
Mark Greene
Department of Mechanical Engineering,
Ann Arbor, MI 48109
e-mail: mlgreene@umich.edu
University of Michigan
,Ann Arbor, MI 48109
e-mail: mlgreene@umich.edu
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David Reuss,
David Reuss
Department of Mechanical Engineering,
Ann Arbor, MI 48109
e-mail: dreuss@umich.edu
University of Michigan
,Ann Arbor, MI 48109
e-mail: dreuss@umich.edu
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Volker Sick
Volker Sick
Professor
Department of Mechanical Engineering,
1231 Beal Avenue, 2007 Auto Lab,
Ann Arbor, MI 48109
e-mail: vsick@umich.edu
Department of Mechanical Engineering,
University of Michigan
,1231 Beal Avenue, 2007 Auto Lab,
Ann Arbor, MI 48109
e-mail: vsick@umich.edu
Search for other works by this author on:
Angela Wu
Department of Mechanical Engineering,
1231 Beal Avenue, 2026 Auto Lab,
Ann Arbor, MI 48109
e-mail: atswu@umich.edu
University of Michigan
,1231 Beal Avenue, 2026 Auto Lab,
Ann Arbor, MI 48109
e-mail: atswu@umich.edu
Seunghwan Keum
Modeling and Simulation, GM R&D,
30565 William Durant Boulevard,
Warren, MI 48092
e-mail: seunghwan.keum@gm.com
30565 William Durant Boulevard,
Warren, MI 48092
e-mail: seunghwan.keum@gm.com
Mark Greene
Department of Mechanical Engineering,
Ann Arbor, MI 48109
e-mail: mlgreene@umich.edu
University of Michigan
,Ann Arbor, MI 48109
e-mail: mlgreene@umich.edu
David Reuss
Department of Mechanical Engineering,
Ann Arbor, MI 48109
e-mail: dreuss@umich.edu
University of Michigan
,Ann Arbor, MI 48109
e-mail: dreuss@umich.edu
Volker Sick
Professor
Department of Mechanical Engineering,
1231 Beal Avenue, 2007 Auto Lab,
Ann Arbor, MI 48109
e-mail: vsick@umich.edu
Department of Mechanical Engineering,
University of Michigan
,1231 Beal Avenue, 2007 Auto Lab,
Ann Arbor, MI 48109
e-mail: vsick@umich.edu
1Corresponding author.
Contributed by the Internal Combustion Engine Division of ASME for publication in the Journal of Energy Resources Technology. Manuscript received April 23, 2019; final manuscript received June 3, 2019; published online June 28, 2019. Assoc. Editor: Sundar Rajan Krishnan.
J. Energy Resour. Technol. Dec 2019, 141(12): 122202 (10 pages)
Published Online: June 28, 2019
Article history
Received:
April 23, 2019
Revision Received:
June 3, 2019
Accepted:
June 4, 2019
Citation
Wu, A., Keum, S., Greene, M., Reuss, D., and Sick, V. (June 28, 2019). "Comparison of Near-Wall Flow and Heat Transfer of an Internal Combustion Engine Using Particle Image Velocimetry and Computational Fluid Dynamics." ASME. J. Energy Resour. Technol. December 2019; 141(12): 122202. https://doi.org/10.1115/1.4044021
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