Filho, PIO; Potter, DB; Powell, MJ; Carmalt, CJ; Angeli, P; Fraga, ES; (2017) Probability Density Functions for Droplet Sizing in Aerosol Transport Modelling. In: Espuna, A and Graells, M and Puigjaner, L, (eds.) Computer Aided Chemical Engineering. (pp. pp. 2245-2250). Elsevier: Amsterdam, Netherlands.

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Abstract

This paper introduces a stochastic model for the prediction of aerosol droplet size distribution and amount delivered via a piping system. Curves generated by probability density functions are presented to describe the droplet sizes before and after a transport system. The model has been applied to a number of different scenarios, including horizontal, inclined or vertical pipes and their combinations using bends. Given an initial aerosol, with a log-normal distribution of droplet diameters, the prediction is a skewed outlet distribution. An extreme case of a coiled pipe has further been used to test the model fully. This latter case has been validated experimentally for a range of lengths from 2 m to 8 m, including droplet sizing by laser diffraction. The model presented is also suitable for applications that rely on atomisation and transport of particles, for example, spray drying or cooling, film coating and fuel combustion.

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