Literature DB >> 32741913

Numerical Study on Particle Adhesion in Dry Powder Inhaler Device.

Ryosuke Mitani1, Shuji Ohsaki1, Hideya Nakamura1, Satoru Watano1.   

Abstract

This study investigated the particle adhesion mechanism in a capsule of dry powder inhaler (DPI) based on a combined computational fluid dynamics and discrete element method (CFD-DEM) approach. In this study, the Johnson-Kendall-Roberts (JKR) theory was selected as the adhesion force model. The simulation results corroborated the experimental results-numerous particles remained on the outlet side of the capsule, while a few particles remained on the inlet side. In the computer simulation, the modeled particles were placed in a capsule. They were quickly dispersed to both sides of the capsule, by air fed from one side of the capsule, and delivered from the air inlet side to the outlet side of the capsule. It was confirmed that vortex flows were seen at the outlet side of the capsule, which, however, were not seen at the inlet side. Numerous collisions were observed at the outlet side, while very few collisions were observed at the inlet side. These results suggested that the vortex flows were crucial to reduce the amount of residual particles in the capsule. The original capsule was then modified to enhance the vortex flow in the area, where many particles were found remaining. The modified capsule reduced the number of residual particles compared to the original capsule. This investigation suggests that the CFD-DEM approach can be a great tool for understanding the particle adhesion mechanism and improving the delivery efficiency of DPIs.

Entities:  

Keywords:  aerosol; computational fluid dynamics; discrete element method; dry powder inhaler; particle behavior

Mesh:

Substances:

Year:  2020        PMID: 32741913     DOI: 10.1248/cpb.c20-00106

Source DB:  PubMed          Journal:  Chem Pharm Bull (Tokyo)        ISSN: 0009-2363            Impact factor:   1.645


  2 in total

1.  CFD-DEM Coupling Model for Deposition Process Analysis of Ultrafine Particles in a Micro Impinging Flow Field.

Authors:  Yanru Wang; Zhaoqin Yin; Fubing Bao; Jiaxin Shen
Journal:  Micromachines (Basel)       Date:  2022-07-15       Impact factor: 3.523

2.  A real-time and modular approach for quick detection and mechanism exploration of DPIs with different carrier particle sizes.

Authors:  Yingtong Cui; Ying Huang; Xuejuan Zhang; Xiangyun Lu; Jun Xue; Guanlin Wang; Ping Hu; Xiao Yue; Ziyu Zhao; Xin Pan; Chuanbin Wu
Journal:  Acta Pharm Sin B       Date:  2021-06-21       Impact factor: 11.413

  2 in total

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