Visible to the public Numerical Analysis of the Motion Characteristics of Combustion Particles in Gap Based on Multi-Physical Field Coupling

TitleNumerical Analysis of the Motion Characteristics of Combustion Particles in Gap Based on Multi-Physical Field Coupling
Publication TypeConference Paper
Year of Publication2021
AuthorsZhou, Changjie, Xiao, Dongping, Bao, Yang
Conference Name2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)
Date PublishedApril 2021
PublisherIEEE
ISBN Number978-1-6654-1840-9
KeywordsAir gaps, combustion particles, composability, Couplings, dielectric constant, Discharges (electric), Electrodes, Fires, Fluids, gap, Human Behavior, Metrics, motion analysis, multi-physical field Coupling, pubcrawl, resilience, Resiliency, Temperature distribution, wildfires
AbstractIn case of wildfire, particles generated in combustion are in complex law of motion under the influence of flame temperature, airflow and lots of electrons and ions. They would distort the space electric field, and lead to gap discharge. This paper develops a multi-physics coupling calculation model of fluid, temperature, electric field and particle movement by combining the rod-plate gap experiment that simulates the wildfire condition. It analyzes the motion state of ash particles in flames, studies the charged particles of different polarity separately, and explores the impact of particle properties on the electric field of gap space by combining the distribution of particles. Results have shown that there are differences in the motion state of charged particles of different polarity, and the electrode will absorb some particles with different charges, while charged particles with the same polarity as the electrode will move away from the electrode in random motion. Particles of different properties (particle size, relative dielectric constant) have different impacts on the electric field of gap space, but they all promote the discharge propagation.
URLhttps://ieeexplore.ieee.org/document/9509140
DOI10.1109/ICEMPE51623.2021.9509140
Citation Keyzhou_numerical_2021