Projects per year
Abstract
The de-agglomeration characteristics of single agglomerate-wall impaction are examined using high-resolution shadowgraph imaging. Experiments are performed to investigate the effects of constituent particle size (D50 from 3 to 7 μm) and air velocity on the individual size and velocity of de-agglomerated fragments at conditions relevant to dry powder inhalation systems. De-agglomerated fragment area and trajectories were used to differentiate between pseudo-elastic and inelastic collisions during de-agglomeration. Advanced image processing techniques have enabled provision of joint population distributions of fragment area and aspect ratio, which identify a bimodal dispersion of fragments during de-agglomeration. The bimodality is destroyed with increasing air velocity and also generally diminishes with time after impact. The experiment presented forms a platform for the detailed quantitative characterisation of de-agglomeration behaviour and can be useful towards the development and validation of related computational models for pharmaceutical dry powder inhalers.
| Original language | English |
|---|---|
| Pages (from-to) | 561-575 |
| Number of pages | 15 |
| Journal | Powder Technology |
| Volume | 378 |
| Issue number | Part A |
| DOIs | |
| Publication status | Published - 22 Jan 2021 |
Bibliographical note
An erratum exists for this article and can be found in Powder Technology, 382, p.262, doi: 10.1016/j.powtec.2020.12.048Keywords
- Dry powder inhalers
- Pharmaceutical powders
- De-agglomeration
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Dive into the research topics of 'Fragmentation dynamics of single agglomerate-to-wall impaction'. Together they form a unique fingerprint.Projects
- 2 Finished
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Particle transport in the human upper airway
Chan, H.-K. (Primary Chief Investigator), Cheng, S. (Chief Investigator) & Kourtmatzis, A. (Chief Investigator)
31/01/19 → 30/01/22
Project: Other
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Development of computational models to predict delivery of inhalation drug powders: from deagglomeration in devices to deposition in airways
Chan, H.-K. (Chief Investigator), Kourtmatzis, A. (Chief Investigator), Cheng, S. (Primary Chief Investigator) & Yang, R. (Chief Investigator)
1/09/18 → 31/08/21
Project: Research
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