Modeling and simulation of multicomponent evaporative sprays in generic conditions

Abstract

This dissertation presents the development and analysis of a multicomponent droplet evaporation model within a Discrete Particle Method (DPM) framework for turbulent flows. The model incorporates key physical phenomena, including differential diffusion, radiation heat transfer, mass source terms in the PISO algorithm, and coupling with external thermodynamic property databases. A multicomponent formulation was implemented and validated through single droplet evaporation tests, showing good agreement with experimental data and literature references.

The numerical methodology was also extended to spray simulations in industrial cases, enabling detailed analysis of evaporation dynamics under complex conditions. The results highlight the importance of accurate transport models and thermal boundary treatments for capturing phase-change behavior in multicomponent systems.

The results demonstrate that the developed numerical and computational tools enable MFSim to simulate multicomponent droplet evaporation and condensation under general conditions with high efficiency. The framework supports large numbers of Lagrangian parcels while maintaining low computational cost, making it suitable for practical engineering applications involving complex spray dynamics.

These developments are essential for advancing the predictive capabilities of CFD tools applied to fuel sprays, heat exchangers, and other engineering systems involving multiphase and multicomponent transport phenomena.