Numerical simulation of welding aerosol diffusion based on plasma flow characteristics

Li, Chengjun; Wang, Hanqing

doi:10.1016/j.eti.2023.103223

Cited by 1 publication

(1 citation statement)

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“…Based on this, the dynamic distribution of the particle concentration over time was analysed. Actually, for the welding process, the gas around the arc was heated and expanded to carry the particles up, and the diffusion of the smoke was conical, 21 while the air carbon arc gouging used compressed air to blow out the molten metal from the groove. 5,22 Therefore, the air gouging fume has both the initial upward momentum similar to the welding fume and the characteristics of tangential flow along the air gouging jet (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

A numerical research on transient transport of high-temperature particles associated with air gouging process

Han,

Zhuang,

Zhang

et al. 2024

Indoor and Built Environment

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The high-temperature particles produced by air gouging processes are common pollutants in cleaning workshops, which could endanger workers’ health. In this research, a two-way coupled Eulerian-Lagrangian method based on discrete phase modelling (DPM) was used to investigate the transport characteristics of high-temperature particles generated from air gouging processes. The particle group in the movement was divided into core zone and boundary zone, and the kinetic mechanism of particles in different zones was analysed. The results show particles in the boundary zone are more susceptible to the vortex entrainment effect than particles in the core zone, and some particles could be moved from the vortex diffusion zone to the vortex recirculation zone. The smaller the particle size, the better the followability to the hot airflow. The slower the temperature decay of particles, the more significant the thermophoresis effect, which could enhance the diffusion behaviour of the small particles. By analysing the average residence time of particles in the breathing zone, the influence of different factors on the average vertical diffusion height [Formula: see text] of particles is summarized, and a nonlinear regression prediction model of [Formula: see text] is established. The results can contribute to health risk assessment and industrial ventilation design.

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Section: Introductionmentioning

confidence: 99%