Loughborough University
Browse

A novel mathematical model to predict the particle size distribution of pMDI aerosols

Download (375.69 kB)
conference contribution
posted on 2023-12-12, 15:09 authored by H Chizari, Hendrik VersteegHendrik Versteeg, Weeratunge MalalasekeraWeeratunge Malalasekera, B Gavtash

This paper presents a first principal approach to estimate the droplet size distribution of aerosols produced by a pMDI. Drug delivery efficacy of pMDIs is mainly governed by the droplet size distribution, so it is important to represent it accurately in the models as a function of time to estimate unwanted drug deposition. To estimate the temporal droplet size distribution, we propose a fundamental approach based on the numerical solution of the instability equation derived by Reitz and co-workers. This yields a distribution of fast-growing wave modes on liquid ligaments. In this work, the probability of production of droplets of a particular size is assumed to be equal to the computed growth rate of these wave modes. The slip velocity between the liquid and vapor phases is an adjustable parameter in the model. A comparison of the numerical predictions and results of phase Doppler anemometry experiments suggests that good agreement can be obtained for HFA134a and HFA227ea aerosols with minor adjustments of the slip velocity.

Funding

Innovate UK Knowledge Transfer Partnership KTP012178

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Drug Delivery to the Lungs Proceedings

Volume

34

Source

Drug Delivery to the Lungs (DDL 2023)

Publisher

The Aerosol Society

Version

  • VoR (Version of Record)

Rights holder

© Drug Delivery to the Lungs

Publisher statement

This paper was presented at the conference Drug Delivery to the Lungs (DDL 2023), Edinburgh, Scotland, UK, 6th - 8th December 2023. The Drug Delivery to the Lungs (DDL) Conference Papers Archive is available at https://ddl-conference.com/conference-papers/

Acceptance date

2023-11-15

Publication date

2023-12-11

Copyright date

2023

Language

  • en

Location

Edinburgh, Scotland, UK

Event dates

6th December 2023 - 8th December 2023

Depositor

Prof Weeratunge Malalasekera. Deposit date: 12 December 2023

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC