https://github.com/ashleefv/cfdparticlelungmucosa
Code for manuscript titled Computational Fluid Dynamics Modeling of Aerosol Particle Transport through Lung Airway Mucosa
Science Score: 23.0%
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Low similarity (5.8%) to scientific vocabulary
Repository
Code for manuscript titled Computational Fluid Dynamics Modeling of Aerosol Particle Transport through Lung Airway Mucosa
Basic Info
- Host: GitHub
- Owner: ashleefv
- License: bsd-3-clause
- Default Branch: master
- Size: 15.8 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
CFDparticleLungMucosa
Code for manuscript titled Computational Fluid Dynamics Modeling of Aerosol Particle Transport through Lung Airway Mucosa
Overview
This repository provides the codes for Darcy flow through porous mucus and the pericillary layer of the lung mucosa via COMSOL Multiphysics 5.6.
Computational Fluid Dynamics Modeling of Aerosol Particle Transport through Lung Airway Mucosa
Code Authors
Blake A. Bartlett (1) and Ashlee N. Ford Versypt (2)
- Oklahoma State University
- University at Buffalo, The State University of New York
Corresponding author: A. N. Ford Versypt, ashleefv@buffalo.edu
Manuscript
B. A. Bartlett, Y. Feng, C. A. Fromen, and A. N. Ford Versypt, Computational Modeling of Aerosol Particle Transport through Lung Airway Mucosa, Computers & Chemical Engineering, 2023, 179, 108458. DOI: 10.1016/j.compchemeng.2023.108458
Codes
Carreau Fluid Application.zip This compressed zip file contains the .mph file for the COMSOL simulation of the model and geometry described in the manuscript.
Line Plots of Various Particles.xlsx This file contains the COMSOL simulation output tabulated data for parameter sweeps and draft plots.
Acknowledgements
This work was supported by National Institutes of Health grant R35GM133763 (ANFV), Oklahoma State University: Freshman Research Scholar and Wentz Research Scholar Programs (BAB) and startup funds to ANFV, and the Goldwater Scholar Program (BAB). The content is solely the responsibility of the authors and does not necessarily represent the offcial views of the National Institutes of Health.
Owner
- Name: Ashlee Ford Versypt
- Login: ashleefv
- Kind: user
- Location: Buffalo, NY
- Company: University at Buffalo, The State University of New York
- Website: https://sites.google.com/site/ashleefordversypt/
- Twitter: FordVersyptLab
- Repositories: 1
- Profile: https://github.com/ashleefv