No abstract

No abstract

No abstract

In this study, as a novelty, the reverse flow effect on a wheat flour cyclone performance was evaluated. A computational fluid dynamics (CFD) simulation was realized using a Reynolds stress turbulence model. Also, particle-air interactions were modeled applying a discrete phase model. Besides the experimental measurement, the numerical simulation was conducted in a main (without reverse flow) and six various reverse flow levels (I = 0.0385 m 3 s À1 , II = 0.0396 m 3 s À1 , III = 0.0484 m 3 s À1 , IV = 0.0583 m 3 s À1 , V = 0.0704 m 3 s À1 , and VI = 0.0836 m 3 s À1 ) by CFD. The validation between pressure drop in experimental data and numerical results revealed a good agreement with a maximum deviation of 8.2%. Cyclone performance including pressure drop and separation efficiency was assessed in the mentioned reverse flow levels. Moreover, velocity field, centrifugal force, and turbulence parameter were evaluated, comprehensively. It was found that the flour separation efficiency increased with enhancing the reverse flow level to IV = 0.0583 m 3 s À1 , but decreased with a sharp slope in the reverse levels of V = 0.0704 m 3 s À1 and VI = 0.0836 m 3 s À1 . Practical ApplicationsCyclone separators are widely used in various industries such as flour and cement.The various parameters of cyclones in a food processing unit effectively affect cyclone efficiency. Therefore, an innovative method for increasing cyclone performance is presented in this study. Computational fluid dynamics (CFD) is a powerful tool for simulation of the food processing phenomenon. Validation could be guaranteed by the usage of numerical results that are obtained from CFD simulations. The innovative methods can play a key role in decreasing energy usage by reducing the pressure drop and enhancing separation efficiency.

No abstract

No abstract

No abstract

No abstract