Prediction of Flow Particle Behavior in Cyclone Separator using Computational Flow Dynamics

doi:10.23940/ijpe.22.02.p7.128135

Abstract

Abstract: Computational Fluid Dynamics (CFD) is used to forecast and assess the impact of temperature, operating pressure, and inlet velocity on the overall performance of gas cyclones. The numerical answers were completed using spreadsheets and the commercial CFD language FLUENT. In addition, two models for predicting cyclone collecting performance are examined in this work. All of the forecasts have shown to be appropriate when compared to subsequent results. The CFD model is the most effective technique of simulating cyclone collecting efficiency, according to the findings of the computer modeling experiment. Cyclones are particularly well adapted to high temperature and pressure conditions because of their strong structure and lightweight component materials. Cyclone collection is effective for particles bigger than 5µm; however, we can deal with smaller particles of dust loadings of 5µm here. Refer to our forecast with the aid of 3 and 5 m/s speed. The difference between the results of pollutants removed by cyclones for air quality control and process applications were examined.

Key words: gas cyclone, CFD, CAD, drag-force, lift-force

Upendra Singh and Bhupendra Singh More. Prediction of Flow Particle Behavior in Cyclone Separator using Computational Flow Dynamics [J]. Int J Performability Eng, 2022, 18(2): 128-135.

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