Leila Pakzad

Dr. Leila Pakzad

Department of Chemical Engineering, Lakehead University, Thunder Bay, P7B5E1, Canada

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 December 2021 in Chemico-Biological Interactions
Verified
Journal Article
Closed access
MMMahshid Mohammadi
Mahshid Mohammadi
LBLeila Bagheri
Leila Bagheri
ABAmr Badreldin
Amr Badreldin
Pedram FatehiPedram Fatehi
Pedram Fatehi
Leila PakzadLeila Pakzad
Leila Pakzad
Andre J. van WijnenAndre J. van Wijnen
Andre J. van Wijnen

1 January 2018 in Chemical Engineering Research and Design
Verified
Journal Article
Closed access
DMDivya Malik
Divya Malik
Leila PakzadLeila Pakzad
Leila Pakzad


1 August 2019 in Chemical Engineering Science
Verified
Journal Article
Closed access
SASiamak Agahzamin
Siamak Agahzamin
Leila PakzadLeila Pakzad
Leila Pakzad

21 June 2022 in Processes
Verified
Journal Article
Open access
PDF file
FDFarnia Dastoorian
Farnia Dastoorian
Leila PakzadLeila Pakzad
Leila Pakzad
JKJanusz Kozinski
Janusz Kozinski
EBEhsan Behzadfar
Ehsan Behzadfar
Inhalation therapy involving a pressurized metered-dose inhaler (pMDI) is one of the most commonly used and effective treatment methods for patients with asthma. The purpose of this study was to develop a computational fluid dynamics (CFD) model to characterize aerosol flow issued from a pMDI into a simulated mouth–throat geometry. The effects of air flow rate and cone angle were analyzed in detail. The behaviour of the multiphase flow initiated at the inhaler actuation nozzle and extended through the mouth–throat airway was simulated based on the Eulerian-Lagrangian discrete phase model, with the k-ω model applied for turbulency. We validated our model against published experimental measurements and cover the hydrodynamic aspect of the study. The recirculation we observed at the 90° bend inside the mouth–throat airway resulted in the selective retention of larger diameter particles, and the fluid flow patterns were correlated with drug deposition behaviour. Enhancing air flow rates up to three times reduced the aerodynamic particle diameters to 20%. We also observed that, as cone angle increased, mouth deposition increased; an 8° cone angle was the best angle for the lowest mouth–throat deposition.

1 July 2019 in Chemical Engineering Research and Design
Verified
Journal Article
Closed access
SNSepehr Khajeh Naeeni
Sepehr Khajeh Naeeni
Leila PakzadLeila Pakzad
Leila Pakzad