Transient flashing propellant flow models to predict internal flow characteristics, spray velocity, and aerosol droplet size of a pMDI. Issue 5 (4th May 2017)

• Record Type: Journal Article
• Authors: Gavtash, B.; Versteeg, H. K.; Hargrave, G.; Myatt, B.; Lewis, D.; Church, T.; Brambilla, G.
• Is Part Of: Aerosol science and technology. Volume 51:Issue 5(2017)
• Page Start: 564
• Page End: 575
• Publication Date: 2017-05-04
• Subjects: Warren Finlay; Aerosols -- Periodicals; Aerosol Propellants -- Periodicals; Aerosols -- Periodicals; 660.294515
• DOI: 10.1080/02786826.2017.1282151
• Languages: English
• ISSNs: 0278-6826

Abstract

ABSTRACT: Despite the popularity of the pMDI as an asthma remedy, the mechanism leading to spray generation is elusive, mainly due to small length scales and short time scale, causing experimental difficulties to obtain flow information. This mechanism involves transient development of two-phase flashing propellant flow inside pMDI actuator as well as transfer of heat, mass, and momentum between the liquid and vapor phase. Variations in the rate of such interphase phenomena dictate the two-phase mass flow rate emission, which itself determines spray velocity and droplet size. In this work, we compare the performance of existing two-phase flow models to predict the flow conditions and the rate of propellant flow through a pMDI actuator: the homogenous equilibrium model (HEM), the slip equilibrium model (SEM), and the homogenous frozen model (HFM). The velocity prediction of the HFM was found to be in good agreement with phase Doppler anemometry (PDA) data indicating the metastable nature of the emitted propellant spray. This work also considers Clark's correlation for the aerosol droplet size based on the results of the flow model. The results of the correlation were compared with PDA droplet size measurements. Clark's correlation was found to be effective in predictions of the temporal droplet size variations. However, the value of an empirical constant had to be tuned to fix the droplet size for a given combination of formulation, device, and to a lesser extent also the distance from the spray orifice where predictions are compared with PDA data. This highlights the need to develop first principle atomization models without the need for case-by-case adjustment. © 2017 American Association for Aerosol Research