摘要

Top dead center turbulence characteristics in two geometrically scaled, two-valve, single-cylinder research engines were investigated to study engine size scaling relationships. Velocity data were acquired using high-magnification particle image velocimetry with different port geometries (two), different port orientations (two), and with both shrouded and nonshrouded intake valves. The data were analyzed using both an ensemble-average method and spatial-average method of defining the mean velocity field. The fluctuating velocity fields were analyzed by calculating the spatial two-point correlation functions and integrating them to find the integral length scales L-11 and L-22 and also by fitting the turbulent kinetic energy spectrum to a model energy spectrum to find the integral length scale pound and the turbulent Reynolds number Re- pound. An extensive comparison between the different analysis methods was undertaken; the spatial-mean method provides more internally consistent results, in part due to the elimination of large, anisotropic structures from the analysis. The integral length scales obtained in the two engines normalized by their respective clearance heights were on average 20% larger in the large engine than in the small engine when using the ensemble-mean method, significantly less than the scale ratio (1.69), and were independent of intake port geometry. This scaling with clearance height has been anticipated, but never experimentally demonstrated. The turbulence intensity in the two engines was found to directly correlate to the mean piston speed, thus the effect of engine size on turbulence intensity is limited to its linear relation to piston speed. A given intake geometry produced the same scaling factor between turbulence intensity and mean piston speed for the two engine sizes. The turbulence intensity was found to be collapsed to a single linear relationship when plotted against a modified Mach index, which normalizes the mean piston speed with a mass-weighted flow coefficient.

  • 出版日期2014-2