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Science China Technological Sciences

, Volume 57, Issue 3, pp 489–504 | Cite as

Large eddy simulation and proper orthogonal decomposition analysis of turbulent flows in a direct injection spark ignition engine: Cyclic variation and effect of valve lift

  • WenJin Qin
  • MaoZhao XieEmail author
  • Ming Jia
  • TianYou Wang
  • DaMing Liu
Article Special Topic: Combustion in Engines

Abstract

Large eddy simulation (LES) is used to calculate the in-cylinder turbulent flow field in a direct injection spark ignition (DISI) engine. The computations are carried out for three different maximum valve lifts (MVL) and throughout 100 consecutive engine cycles. The simulated results as well as corresponding particle image velocimetry (PIV) measurement database are analyzed by the proper orthogonal decomposition (POD) method. Through a new developed POD quadruple decomposition the instantaneous in-cylinder flow fields are decomposed into four parts, named mean field, coherent field, transition field and turbulent field, respectively. Then the in-cylinder turbulent flow characteristics and cycle-to-cycle variations (CCV) are studied separately upon the four part flow fields. Results indicate that each part exhibits its specific characteristics and has close connection with others. The mean part contains more than 50% of the total kinetic energy and the energy cascade phenomenon occurs among the four part fields; the coherent field part possesses the highest CCV level which dominates CCV of the bulk flow. In addition, it is observed that a change in MVL affects significantly the in-cylinder flow behavior including CCV, especially for the coherent part. Furthermore, the POD analysis demonstrates that at least 25 sample cycles for the mean velocity and 50 sample cycles for the RMS velocity are necessary for obtaining converged and correct results in CCV.

Keywords

in-cylinder flow turbulence proper orthogonal decomposition (POD) large eddy simulation cycle-to-cycle variations (CCV) 

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • WenJin Qin
    • 1
  • MaoZhao Xie
    • 1
    Email author
  • Ming Jia
    • 1
  • TianYou Wang
    • 2
  • DaMing Liu
    • 2
  1. 1.School of Energy and Power EngineeringDalian University of TechnologyDalianChina
  2. 2.State Key Laboratory of EnginesTianjin UniversityTianjinChina

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