Investigation of Explosive Particle Jetting Phenomena at the Mesoscale
ORAL
Abstract
It is known that particle jetting occurs from the explosive dispersal of particles, but it is still not completely understood what the driving mechanisms may be. A numerical investigation is undertaken to explore the particle jetting phenomenon. Multiphase simulations are conducted at the mesoscale of a cloud of fully-resolved particles. Kinematic quantities of each individual particle are resolved directly, allowing for tracking of particle and fluid phase interactions. The parallel adaptive wavelet-collocation method (PAWCM) is used to perform the simulations with high numerical accuracy at relatively low computational cost. Methods by which particle jets may form are explored by imposing initial conditions such as spatial perturbations in particle volume fraction and variations in particle elasticity, along with variations in the type, strength, and duration of wave loading. Statistical analysis is performed to establish a quantitative definition for a particle jet, which is then used to determine how different parameters impact formation and prominence. This work sheds light on the potential underlying mechanisms of particle jetting phenomena and may further inform macro-scale particle models and complex multi-physics models. LA-UR-21-27365
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Presenters
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Calvin J Young
XCP-4 Continuum Models and Numerical Methods, Los Alamos National Laboratory
Authors
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Calvin J Young
XCP-4 Continuum Models and Numerical Methods, Los Alamos National Laboratory
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Yash Mehta
Los Alamos National Laboratory, T-3 Fluid Dynamics and Solid Mechanics, Los Alamos National Laboratory
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Jacob A McFarland
Texas A&M University, Deparment of Mechanical Engineering, Texas A&M University
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Jonathan D Regele
Los Alamos National Laboratory, XCP-4 Continuum Models and Numerical Methods, Los Alamos National Laboratory