A novel mathematical model to predict the particle size distribution of pMDI aerosols
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 ProceedingsVolume
34Source
Drug Delivery to the Lungs (DDL 2023)Publisher
The Aerosol SocietyVersion
- VoR (Version of Record)
Rights holder
© Drug Delivery to the LungsPublisher 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
2023-11-15Publication date
2023-12-11Copyright date
2023Publisher version
Language
- en