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Investigation of Determining Velocity Profiles in Microfluidic Channel Using Micro PIV

  • Author / Creator
    Behboodi, Fahimeh
  • An investigation of the velocity profile in a microscale (<5mm) channel using micro PIV technique is presented. Measuring the velocity profile in the microchannel becomes increasingly important with the improved attention to microscale devices. Theory dictates that flow in the channel has a parabolic velocity profile according to Navier Stokes assumptions and formulas. The channel which was used in this study had a scale of 0.8 mm width and 2 mm length. Flow, seeded with hollow sphere particles, is pumped through the channel. Micro particle image velocimetry measured the velocity profile by measuring movement of particles in one interrogation window over time and calculate velocity related to each window. Different algorithms for processing data including various interrogation window sizes and shapes were determined using commercial software (DaVis 8.0.7, LaVision GmbH) to compare results of the measured velocity profile with theory. The aim was to determine the impact of the PIV processing approach on the validity of the velocity profile in the near wall region. Effect of different window shapes and sizes were investigated and realized that the smaller window size has more velocity profile compatible with theory near the wall, and changes in the interrogation windows do not have so much influence on the velocity profile near boundary. At the end the agreement of the experimental results with theory is acceptable and shows different errors associated to the near boundary velocity profile in those methods.

  • Subjects / Keywords
  • Graduation date
    2015-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3DF6K82X
  • 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)
    • Nobes, David (Mechanical Engineering)
  • Examining committee members and their departments
    • Tsai, Peichun Amy (Mechanical Engineering)
    • Lipsett, Michael (Mechanical Engineering)