Thesis
Particle flow response in a particle-laden free jet
Washington State University
Master of Science (MS), Washington State University
05/2020
DOI:
https://doi.org/10.7273/000004073
Handle:
https://hdl.handle.net/2376/125234
Abstract
Ash from explosive volcanic eruptions can pose a massive threat to humans and infrastructure. By developing the current understanding of turbulent, dispersed flows, more accurate ash dispersion models can be created, thereby preventing loss of life and limiting economic damage. While numerous studies have been done on turbulent dispersed flow, there remains a lack of studies on geometries specific to large-scale structures like volcanic eruption columns. To further study this, a vertical, compressed air free jet was seeded with solid glass, nickel, and hollow glass particles at a variety of speeds and mass loadings. The Reynolds numbers ranged from 8,000-35,000, Stokes numbers from 40-6,000, and mass loadings from 0-60%. The cross section of the jet was then imaged using particle image velocimetry. These image pairs were used to examine the velocity fields, centerline speeds, and velocity profiles. It was found that the vertical speeds of the solid glass, nickel, and hollow glass did not decay as quickly in the axial and transverse directions. The centerline exit speeds of the particles ranged from 59-94% of the air exit velocities. Additionally, the nickel and solid glass showed 2-20% decreases in centerline velocity along the first 16 diameters while the hollow glass and air experienced 41-60% decreases. The centerline exit velocities also scale inversely with the Stokes numbers in each case. Finally, a thin band of preferentially concentrated particles appeared intermittently on both sides of the jet, possibly in part due to the high rate of shear stress in the area.
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Details
- Title
- Particle flow response in a particle-laden free jet
- Creators
- Laura K. Shannon
- Contributors
- Stephen Solovitz (Advisor) - Washington State University, School of Engineering and Computer Science (VANC)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Engineering and Computer Science (VANC)
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Identifiers
- 99900890789301842
- Language
- English
- Resource Type
- Thesis