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Experiments in Fluids

, Volume 16, Issue 5, pp 297–307 | Cite as

Mixing in plasma and low density jets

  • S. Russ
  • P. J. Strykowski
  • E. Pfender
Originals

Abstract

This study was undertaken to examine the mechanisms which produce the large entrainment measured near the exit of thermal plasma torches. A research facility was constructed to examine low density jet behavior under similar dimensionless conditions as those produced by thermal plasma spray torches; the Reynolds number based on jet diameter and average properties was 1000, and the ratio of jet to ambient density was 0.07. This very low density jet produced organized vortex structures which were partially responsible for the rapid entrainment of external air. The formation of these organized structures could be disrupted by introducing turbulence, but the rapid entrainment process was not significantly affected. The structure of the jet produced by a commercial plasma torch was examined and compared to the low density research jet. At low gas flow rates the plasma jet also displayed the formation of coherent vortex structures, the passage frequency of which compared favorably with that measured in the low density research jet. At higher gas flow rates the shear layer of the plasma jet rapidly broke down producing relatively small scale turbulence. Visualizations of the hot plasma core were compared against measurements of the torch voltage fluctuations caused by arc instabilities. At low flow rates the arc voltage fluctuations were quite low and the plume was very steady. At higher flow rates the arc voltage fluctuations increased and produced “surging” and “whipping” in the hot potential core. It is believed that this low frequency unsteadiness is partially responsible for the rapid entrainment measured in plasma torches.

Keywords

Plasma Torch Spray Torch Plasma Spray Torch Coherent Vortex Structure Thermal Plasma Spray 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Verlag 1994

Authors and Affiliations

  • S. Russ
    • 1
  • P. J. Strykowski
    • 1
  • E. Pfender
    • 1
  1. 1.Mechanical Engineering Department, ERC for Plasma-Aided ManufacturingUniversity of MinnesotaMinneapolisUSA

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