The droplet size distributions (DSDs) generated by the breakup of jets in industrial systems and accidental releases govern the movement and fate of the dispersed fluid. Turbulence-based models offer a method of DSD prediction that is more physically realistic than models based on bulk flow parameters. Computational Fluid Dynamic (CFD) models have been used to estimate turbulence quantities for use in empirical models of stirred cells and round turbulent free jets (with and without upstream blockages). It has been found that the turbulence generated by disturbances upstream of the jet exit significantly influence the jets and their resulting DSD.
|Qualification||Doctor of Philosophy|
|Award date||23 Apr 2021|
|Publication status||Unpublished - 2020|