The Effects of the Guide Cone on the Flow Field and Key Classification Performance of an Industrial-Scale Micron Air Classifier DOI Creative Commons
Nang X. Ho,

Hoi Thi Dinh,

Nhu The Dau

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11504 - 11504

Published: Dec. 10, 2024

In this study, the effects of structural parameters (SPs) guide cone, such as surface inclination and material recirculation gap size, on two-phase flow field classification performance a real-sized industrial-scale micron air classifier were investigated. This was achieved using two-way coupling computational fluid dynamics–discrete phase model in ANSYS 2022 R2, with assistance high-performance system (HPC). The objective study to determine optimal SPs cone so achieve best efficiency satisfy required particle size distribution curve, named know-how curve (KHC), for range (0 ÷ 400 μm) used producing quartz-based artificial stone. bottom diameter (d) (CHL) altered while keeping outer feeding tube unchanged. As consequence, changed, shape, position, rotational direction vortices formed secondary space chamber also changed. These significantly affected performance. Specifically, classifiers different structures, CHL1, CHL2, CHL3, CHL4, yielded Newton efficiencies 75.06%, 87.26%, 95.5%, 94.02%, respectively. According simulation results, structure is recommended objectives (i) highest efficiency, smallest cut sharpness index (ii) those under constraint KHC.

Language: Английский

Numerical Study to Optimize the Operating Parameters of a Real-Sized Industrial-Scale Micron Air Classifier Used for Manufacturing Fine Quartz Powder and a Comparison with the Prototype Model DOI Open Access
Nang X. Ho,

Hoi Thi Dinh,

Nhu The Dau

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(1), P. 106 - 106

Published: Jan. 3, 2025

In this study, we successfully captured and compared the gas−particle flow field in a real-sized industrial-scale micron air classifier prototype. All simulation calculations were performed using high-performance computing (HPC) systems 3D transient simulations with TWC-RSM–DPM (Two-Way Coupling–Reynolds Stress Model–Discrete Phase Model) ANSYS Fluent (version 2022 R2). The following objectives achieved: (i) comparison of results was made between real-size prototype model (scaled-down model) to show differences them highlight necessity study on for optimization purposes; (ii) detailed analysis effects multiple vortices inside both main secondary classification zones provided deeper understanding mechanism classifier; (iii) basis classifier’s key performance indicators (KPIs: d50, K, η) constrained condition (i.e., know-how particle size distribution curve (KHC) quartz fine powder material 0–45 µm) applied manufacturing engineering stone, relationship operating parameters addressed, optimal set production (0–45 selected. will be validated experimental at Vicostone Plant, Phenikaa Group.

Language: Английский

Citations

1

The Effects of the Guide Cone on the Flow Field and Key Classification Performance of an Industrial-Scale Micron Air Classifier DOI Creative Commons
Nang X. Ho,

Hoi Thi Dinh,

Nhu The Dau

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11504 - 11504

Published: Dec. 10, 2024

In this study, the effects of structural parameters (SPs) guide cone, such as surface inclination and material recirculation gap size, on two-phase flow field classification performance a real-sized industrial-scale micron air classifier were investigated. This was achieved using two-way coupling computational fluid dynamics–discrete phase model in ANSYS 2022 R2, with assistance high-performance system (HPC). The objective study to determine optimal SPs cone so achieve best efficiency satisfy required particle size distribution curve, named know-how curve (KHC), for range (0 ÷ 400 μm) used producing quartz-based artificial stone. bottom diameter (d) (CHL) altered while keeping outer feeding tube unchanged. As consequence, changed, shape, position, rotational direction vortices formed secondary space chamber also changed. These significantly affected performance. Specifically, classifiers different structures, CHL1, CHL2, CHL3, CHL4, yielded Newton efficiencies 75.06%, 87.26%, 95.5%, 94.02%, respectively. According simulation results, structure is recommended objectives (i) highest efficiency, smallest cut sharpness index (ii) those under constraint KHC.

Language: Английский

Citations

0