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Study of Enhanced Deposition due to Magnetic Field Alignment of Ellipsoid Particles Using Direct Numerical Simulations

  • Author / Creator
    Martinez, Roberto Carlos
  • A recent in vitro study demonstrated a non invasive method to enhance local deposition in a small airway by controlling the angular position of magnetic high aspect ratio particles. This technique could mitigate the challenge of providing sufficient therapeutic effects when using aerosolized chemotherapy techniques. To highlight the potential of this new magnetic field alignment approach the effect of increasing particle aspect ratio on the deposition efficiency was studied using direct numerical simulations. Simulations were done using an in house finite element algorithm. A steady air flow, typical of tidal breathing, was simulated through a three dimensional physiologically realistic bifurcation representing a single symmetrical bifurcation between generations 14 and 15 in the lung. For two different aspect ratios the deposition efficiency was found for the case of an unconstrained particle and magnetically aligned particle. Results indicate that forcing local alignment of high aspect ratio particles can increase local deposition considerably.

  • Subjects / Keywords
  • Graduation date
    2012-09
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3KT59
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Mechanical Engineering
  • Supervisor / co-supervisor and their department(s)
    • Dr. Warren Finlay, Mechanical Engineering
  • Examining committee members and their departments
    • Dr. Peter Minev, Mathematical and Statistical Sciences
    • Dr. Warren Finlay, Mechanical Engineering
    • Dr. Carlos Lange, Mechanical Engineering