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- W4362578879 abstract "Particles from industrial processes are extremely harmful to workers' health and indoor environments. Acquiring the dispersion range of particles can help assess indoor air quality and optimize ventilation strategies. This study applies Computational Fluid Dynamics techniques to investigate the maximum horizontal distance (ΔRmax) of particles' dispersion during welding processes. The effects of releasing temperature (T0), releasing velocity (v0), operation time (t0), and particle diameter (dp) on particles' dispersion distance is analyzed. Multiple nonlinear regression analysis combining with the Box-Behnken design (BBD) method is adopted to develop the predictive model of ΔRmax. The results show that the evolution of particles' dispersion distance can be divided into two and four stages in the horizontal and vertical directions. The influencing factors can shorten the duration of particles’ dispersion but do not change their variation trend. ΔRmax is positively correlated with T0, v0, and t0, but negatively correlated with dp, and the combined effect of T0 and t0 can be converted into the influence of Q'. Moreover, the predictive model of ΔRmax with respect to Q′, v0 and dp is developed based on the simulation results, and the greater ΔT, v0 or t0 is, the better its applicability is. These findings can help assess the exposure risk of particles and refine ventilation system for welding processes." @default.
- W4362578879 created "2023-04-06" @default.
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- W4362578879 date "2023-07-01" @default.
- W4362578879 modified "2023-09-30" @default.
- W4362578879 title "A numerical study for predicting the maximum horizontal distance of particles’ dispersion during transient welding processes" @default.
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- W4362578879 doi "https://doi.org/10.1016/j.jobe.2023.106449" @default.
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