A Computational Examination of the Sources of Statistical Variance in Particle Parameters During Thermal Plasma Spraying
A Computational Examination of the Sources of Statistical Variance in Particle Parameters During Thermal Plasma Spraying
复制标题
热等离子喷涂过程中颗粒参数统计方差来源的计算检验
DOI:
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发表时间:
2000
期刊:
影响因子:
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通讯作者:
C.
中科院分区:
文献类型:
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作者:
R. L. Williamson;J. Fincke;C.
Computational modeling is used to systematically examine many of the sources of statistical variance in particle parameters during thermal plasma spraying. Using the computer program LAVA, 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. Calculations are also performed wherein all phenomena are considered simultaneously to enable further comparisons. Both nonswirling and swirling plasma flow fields are considered. 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 mostsignificantly 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.