Numerical study of the relative importance of turbulence, particle size and density, and injection parameters on particle behavior during thermal plasma spraying

Numerical modeling is used to systematically examine the effects of turbulence, injection, and particle characteristics on particle behavior during thermal plasma spraying. Using the computer program LAVA (Idaho National Engineering and Environmental Laboratory, Idaho Falls, ID), a steady-state plasma jet typical of a commercial torch at normal operating conditions is first developed. Then, assuming a single particle composition (ZrO2) and injection location, real world complexity (e.g., turbulent dispersion, particle size and density, injection velocity, and direction) is introduced “one phenomenon at a time” to distinguish and characterize its effect and enable comparisons of separate effects. A final calculation then considers all phenomena simultaneously, to enable further comparisons. Investigating each phenomenon separately provides valuable insight into particle behavior. For the typical plasma jet and injection conditions considered, particle dispersion in the injection direction is most significantly affected by (in order of decreasing importance): particle size distribution, injection velocity distribution, turbulence, and injection direction distribution or particle density distribution. Only the distribution of injection directions and turbulence affect dispersion normal to the injection direction and are of similar magnitude in this study. With regards to particle velocity and temperature, particle size is clearly the dominant effect.

[1]  R. McPherson,et al.  The relationship between the mechanism of formation, microstructure and properties of plasma-sprayed coatings , 1981 .

[2]  P. Fauchais,et al.  Heat Generation and Particle Injection in a Thermal Plasma Torch , 1998 .

[3]  Snyder,et al.  Determination of gas-temperature and velocity profiles in an argon thermal-plasma jet by laser-light scattering. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[4]  P. J. O'rourke,et al.  Statistical properties and numerical implementation of a model for droplet dispersion in a turbulent gas , 1989 .

[5]  J. Fincke,et al.  Entrainment and demixing in subsonic thermal plasma jets: Comparison of measurements and predictions , 1994 .

[6]  Robert Miller Thermal spray: International advances in coatings technology , 1992 .

[7]  P. Fauchais,et al.  Parameters controlling the generation and properties of plasma sprayed zirconia coatings , 1995 .

[8]  John D. Ramshaw,et al.  Computational fluid dynamics modeling of multicomponent thermal plasmas , 1992 .

[9]  Peretz P. Friedmann,et al.  Current Status and Future Trends , 2001 .

[10]  Wolfgang Rodi,et al.  Computation of strongly swirling axisymmetric free jets , 1984 .

[11]  J. Dukowicz A particle-fluid numerical model for liquid sprays , 1980 .

[12]  J. D. Ramshaw,et al.  Numerical Simulation of Nonequilibrium Effects in an Argon Plasma Jet , 1994 .

[13]  Lech Pawlowski,et al.  The Science and Engineering of Thermal Spray Coatings , 1995 .