Experiments in Fluids

, 55:1748 | Cite as

Turbulent swirling flow in a dynamic model of a uniflow-scavenged two-stroke engine

  • K. M. Ingvorsen
  • K. E. Meyer
  • J. H. Walther
  • S. Mayer
Research Article

Abstract

It is desirable to use computational fluid dynamics for optimization of the in-cylinder processes in low-speed two-stroke uniflow-scavenged marine diesel engines. However, the complex nature of the turbulent swirling in-cylinder flow necessitates experimental data for validation of the used turbulence models. In the present work, the flow in a dynamic scale model of a uniflow-scavenged cylinder is investigated experimentally. The model has a transparent cylinder and a moving piston driven by a linear motor. The flow is investigated using phase-locked stereoscopic particle image velocimetry (PIV) and time-resolved laser Doppler anemometry (LDA). Radial profiles of the phase-locked mean and rms velocities are computed from the velocity fields recorded with PIV, and the accuracy of the obtained profiles is demonstrated by comparison with reference LDA measurements. Measurements are carried out at five axial positions for 15 different times during the engine cycle and show the temporal and spatial development of the swirling in-cylinder flow. The tangential velocity profiles in the bottom of the cylinder near the end of the scavenge process are characterized by a concentrated swirl resulting in wake-like axial velocity profiles and the occurrence of a vortex breakdown. After scavenge port closing, the axial velocity profiles indicate that large transient swirl-induced structures exist in the cylinder. Comparison with profiles obtained under steady-flow conditions shows that the scavenge flow cannot be assumed to be quasi-steady. The temporal development of the swirl strength is investigated by computing the angular momentum. The swirl strength shows an exponential decay from scavenge port closing to scavenge port opening corresponding to a reduction of 34 %, which is in good agreement with theoretical predictions.

Supplementary material

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Supplementary material 1 (pdf 569 KB)
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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • K. M. Ingvorsen
    • 1
  • K. E. Meyer
    • 1
  • J. H. Walther
    • 1
    • 2
  • S. Mayer
    • 3
  1. 1.Department of Mechanical EngineeringTechnical University of DenmarkKgs. LyngbyDenmark
  2. 2.Computational Science and Engineering LaboratoryETH ZürichZurichSwitzerland
  3. 3.MAN Diesel & Turbo SECopenhagenDenmark

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