Predicting dynamic and thermal histories of agglomerated particles injected within a d.c. plasma jet

In this work, are presented the results of a model coupling both dynamic and thermal histories of a single zirconia particle injected into a d.c. plasma jet. The temperatures, chemical compositions and velocities mapping of the jet are forecast from the Jets&Poudres model derived from Genmix algorithm of Spalding and Patankar. This model is mainly improved by the use of close transport properties of gases given by T&TWinner data base. The model developed here calculates the dynamic and fly of a single particle fed in the jet and the coupling with the heat transfer and phase changes within this particle along its trajectory. These computations solved the Stefan problem in the particle and determine explicitly the position of the front solid/liquid. The ablation by evaporation and the coupled cooling is described according to the approach “Back pressure” of Knight. The model is used to the calculation of thermal and dynamic behaviors of agglomerated nanosized particles and the result compared with experimental one.