Numerical investigation of the transport of high-temperature submicron and ultrafine particles transiently generated during welding processes

High-temperature aerosols generated during industrial processes pose a significant threat to the operating environment and workers’ health. In this study, the dynamic behaviour of transiently generated aerosols during welding was simulated using the validated Euler–Lagrange approach. The maximum radial diffusion radius ( R ), horizontal dispersity ( D H ) and concentration decay rate loss coefficient ( ζ ) were calculated to quantify the spatiotemporal evolution of different particle size categories. Furthermore, the effect of Brownian forces on aerosols’ dispersion and distribution was systematically investigated. The results showed that welding aerosols larger than 0.2 μm exhibited favourable airflow following and their dispersion patterns tend to be consistent. Conversely, the migration paths of welding aerosols smaller than 0.2 μm deviated significantly from the airflow due to the molecular slip effect. For the 0.05 μm welding aerosol, the strong molecular slip effect resulted in its inability to effectively follow the hot air, showing a disordered dispersion pattern centred on the release source. In addition, Brownian force has a significant enhancement effect on the diffusion capability of 0.1 μm particles, leading to an augmentation in the R from 2 to 2.5 m, and an escalation in the D H from 42.4% to 70%.

Authors

Institutions

Publication Details

Journal
Indoor and Built Environment
Published
2026-03-27
DOI
https://doi.org/10.1177/1420326x261433040
Primary Topic
Occupational exposure and asthma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical investigation of the transport of high-temperature submicron and ultrafine particles transiently generated during welding processes

Yongfa Diao, Yabing Wen
Indoor and Built Environment
Occupational exposure and asthma
article

Numerical investigation of the transport of high-temperature submicron and ultrafine particles transiently generated during welding processes

Yongfa Diao, Yabing Wen
article en

Abstract

High-temperature aerosols generated during industrial processes pose a significant threat to the operating environment and workers’ health. In this study, the dynamic behaviour of transiently generated aerosols during welding was simulated using the validated Euler–Lagrange approach. The maximum radial diffusion radius ( R ), horizontal dispersity ( D H ) and concentration decay rate loss coefficient ( ζ ) were calculated to quantify the spatiotemporal evolution of different particle size categories. Furthermore, the effect of Brownian forces on aerosols’ dispersion and distribution was systematically investigated. The results showed that welding aerosols larger than 0.2 μm exhibited favourable airflow following and their dispersion patterns tend to be consistent. Conversely, the migration paths of welding aerosols smaller than 0.2 μm deviated significantly from the airflow due to the molecular slip effect. For the 0.05 μm welding aerosol, the strong molecular slip effect resulted in its inability to effectively follow the hot air, showing a disordered dispersion pattern centred on the release source. In addition, Brownian force has a significant enhancement effect on the diffusion capability of 0.1 μm particles, leading to an augmentation in the R from 2 to 2.5 m, and an escalation in the D H from 42.4% to 70%.

Indoor and Built Environment
Donghua University (CN)
Openalex Percentile: Top 6%
Occupational exposure and asthma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.