Predictive efficient computational models for turbulent spray flows

Project: Research

Project Details


This project aims to build a predictive efficient spray model for fuel injection system that will significantly reduce the formation of pollutants in internal combustion engines (ICE). Novel models that are more representative of the complexity of atomisation will be generated, applied to a series of sprays at different conditions and validated against extensive experimental databases. Such models will account, for the first time, for non-spherical droplets which exist in real-world conditions. The significant outcome of this project is an enhanced computational tool that forms the basis for the design of low emission engines. The project expected to produce an accurate predictive computer tool that enhance our understanding of droplet formation in engines which has a critical role on combustion emission.
Effective start/end date1/01/1931/12/19