Particle Image Diffusimetry (PID)

ORAL

Abstract

We will be presenting a visualization-based technique utilizing µPIV to determine the diffusion coefficient of micro/nanoparticles. The location of the Cross-correlation peak of two or more consecutive images in PIV and µPIV shows the information about the most probable displacement of a flow field. It has been shown that the diffusion coefficient of tracer particles can also be found from the spread of the cross-correlation plane with some limiting assumptions. we will demonstrate a new generalized probability-based method to quantify the diffusion coefficient while eliminating previous limiting assumptions. We will compare our results with the existing method and show validation of our technique using both synthetic images and experimental data sets.

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Presenters

  • Adib Ahmadzadegan

    • Purdue University

Authors

  • Adib Ahmadzadegan

    • Purdue University

  • Arezoo M Ardekani

    • School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA
    • Purdue University
    • Purdue Univ

  • Pavlos P Vlachos

    • School of Mechanical Engineering, Purdue University, West Lafayette, Indiana
    • Purdue University
    • Purdue Univ
    • School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
    • Department of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
    • Department of Mechanical Engineering, Purdue University