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Numerical Investigation of Flow through a Valve during Charge Intake in a DISI -Engine Using Large Eddy Simulation

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  • Kaushal Nishad

    (Institute of Energy and Power Plant Technology, Technische Universität Darmstadt, 64287 Darmstadt, Germany
    Current address: L1|08 130, Otto-Berndt-Strasse 3, 64287 Darmstadt, Germany.)

  • Florian Ries

    (Institute of Energy and Power Plant Technology, Technische Universität Darmstadt, 64287 Darmstadt, Germany)

  • Yongxiang Li

    (Institute of Energy and Power Plant Technology, Technische Universität Darmstadt, 64287 Darmstadt, Germany)

  • Amsini Sadiki

    (Institute of Energy and Power Plant Technology, Technische Universität Darmstadt, 64287 Darmstadt, Germany
    Laboratoire de Modelisation Mecanique, Energetique et Materiaux, Institut Superieur des Techniques Appliquees, B.P. 6534 Kinshasa 31 NDOLO, Congo)

Abstract

Apart from electric vehicles, most internal combustion (IC) engines are powered while burning petroleum-based fossil or alternative fuels after mixing with inducted air. Thereby the operations of mixing and combustion evolve in a turbulent flow environment created during the intake phase and then intensified by the piston motion and influenced by the shape of combustion chamber. In particular, the swirl and turbulence levels existing immediately before and during combustion affect the evolution of these processes and determine engine performance, noise and pollutant emissions. Both the turbulence characteristics and the bulk flow pattern in the cylinder are strongly affected by the inlet port and valve design. In the present paper, large eddy simulation (LES) is appraised and applied to studying the turbulent fluid flow around the intake valve of a single cylinder IC-engine as represented by the so called magnetic resonance velocimetry (MRV) flow bench configuration with a relatively large Reynolds number of 45,000. To avoid an intense mesh refinement near the wall, various subgrid scale models for LES; namely the Smagorinsky, wall adapting local eddy (WALE) model, SIGMA, and dynamic one equation models, are employed in combination with an appropriate wall function. For comparison purposes, the standard RANS (Reynolds-averaged Navier–Stokes) k - ε model is also used. In terms of a global mean error index for the velocity results obtained from all the models, at first it turns out that all the subgrid models show similar predictive capability except the Smagorinsky model, while the standard k - ε model experiences a higher normalized mean absolute error (nMAE) of velocity once compared with MRV data. Secondly, based on the cost-accuracy criteria, the WALE model is used with a fine mesh of ≈39 millions control volumes, the averaged velocity results showed excellent agreement between LES and MRV measurements, revealing the high prediction capability of the suggested LES tool for valve flows. Thirdly, the turbulent flow across the valve curtain clearly featured a back flow resulting in a high speed intake jet in the middle. Comprehensive LES data are generated to carry out statistical analysis in terms of (1) evolution of the turbulent morphology across the valve passage relying on the flow anisotropy map, (2) integral turbulent scales along the intake-charge stream, (3) turbulent flow properties such as turbulent kinetic energy, turbulent velocity and its intensity within the most critical zone in intake-port and along the port length, it further transpires that the most turbulence are generated across the valve passage and these are responsible for the in-cylinder turbulence.

Suggested Citation

  • Kaushal Nishad & Florian Ries & Yongxiang Li & Amsini Sadiki, 2019. "Numerical Investigation of Flow through a Valve during Charge Intake in a DISI -Engine Using Large Eddy Simulation," Energies, MDPI, vol. 12(13), pages 1-20, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2620-:d:246526
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    Citations

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    Cited by:

    1. Xinyi Zhao & Ye Lu, 2022. "A Comprehensive Performance Evaluation Method Targeting Efficiency and Noise for Muzzle Brakes Based on Numerical Simulation," Energies, MDPI, vol. 15(10), pages 1-18, May.
    2. Jana Hoffmann & Niklas Mirsch & Walter Vera-Tudela & Dario Wüthrich & Jorim Rosenberg & Marco Günther & Stefan Pischinger & Daniel A. Weiss & Kai Herrmann, 2023. "Flow Field Investigation of a Single Engine Valve Using PIV, POD, and LES," Energies, MDPI, vol. 16(5), pages 1-31, March.
    3. Xu Zheng & Nan Zhou & Quan Zhou & Yi Qiu & Ruijun Liu & Zhiyong Hao, 2020. "Experimental Investigation on the High-frequency Pressure Oscillation Characteristics of a Combustion Process in a DI Diesel Engine," Energies, MDPI, vol. 13(4), pages 1-25, February.
    4. Yindong Song & Yiyu Xu & Xiuwei Cheng & Ziyu Wang & Weiqing Zhu & Xinyu Fan, 2022. "Using a Genetic Algorithm to Achieve Optimal Matching between PMEP and Diameter of Intake and Exhaust Throat of a High-Boost-Ratio Engine," Energies, MDPI, vol. 15(5), pages 1-17, February.
    5. Guangjun Yang & Xiaoxiao Li & Li Ding & Fahua Zhu & Zhigang Wang & Sheng Wang & Zhen Xu & Jingxin Xu & Pengxiang Qiu & Zhaobing Guo, 2019. "CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS," Energies, MDPI, vol. 12(19), pages 1-21, September.

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