Computational Fluid Dynamics as a Digital Tool for Enhancing Safety Uptake in Advanced Manufacturing Environments Within a Safe-by-Design Strategy DOI Open Access

Dionysia Maria Voultsou,

Stratos Saliakas, Spyridon Damilos

и другие.

Materials, Год журнала: 2025, Номер 18(2), С. 262 - 262

Опубликована: Янв. 9, 2025

In modern manufacturing environments, pollution management is critical as exposure to harmful substances can cause serious health issues. This study presents a two-stage computational fluid dynamic (CFD) model estimate the distribution of pollutants in indoor production spaces. first stage, Reynolds-averaged Navier-Stokes (RANS) method was used simulate airflow and temperature. second Lagrangian applied for particle tracing. The theoretical acrylonitrile butadiene styrene (ABS) filament 3D printing process evaluate factors affecting ultrafine particles (30 nm). Key parameters such ventilation system effects, presence cooling fans print bed, nozzle temperatures were considered. results show that highest flow velocities (1.97 × 10-6 m/s 3.38 m/s) occur near system's inlet outlet, accompanied by regions high turbulent kinetic energy (0.66 m2/s2). These conditions promote airflow, facilitating particulate removal reducing stagnant zones prone pollutant buildup. effect thermal sources investigated, showing limited contribution on removal. findings emphasize importance digital twins better worker safety air quality environments.

Язык: Английский

Computational Fluid Dynamics as a Digital Tool for Enhancing Safety Uptake in Advanced Manufacturing Environments Within a Safe-by-Design Strategy DOI Open Access

Dionysia Maria Voultsou,

Stratos Saliakas, Spyridon Damilos

и другие.

Materials, Год журнала: 2025, Номер 18(2), С. 262 - 262

Опубликована: Янв. 9, 2025

In modern manufacturing environments, pollution management is critical as exposure to harmful substances can cause serious health issues. This study presents a two-stage computational fluid dynamic (CFD) model estimate the distribution of pollutants in indoor production spaces. first stage, Reynolds-averaged Navier-Stokes (RANS) method was used simulate airflow and temperature. second Lagrangian applied for particle tracing. The theoretical acrylonitrile butadiene styrene (ABS) filament 3D printing process evaluate factors affecting ultrafine particles (30 nm). Key parameters such ventilation system effects, presence cooling fans print bed, nozzle temperatures were considered. results show that highest flow velocities (1.97 × 10-6 m/s 3.38 m/s) occur near system's inlet outlet, accompanied by regions high turbulent kinetic energy (0.66 m2/s2). These conditions promote airflow, facilitating particulate removal reducing stagnant zones prone pollutant buildup. effect thermal sources investigated, showing limited contribution on removal. findings emphasize importance digital twins better worker safety air quality environments.

Язык: Английский

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