Investigation on the rebound characteristics of non-spherical particles colliding on the wall
The particle rebound behaviors of particle-wall collisions have significant impacts on the particle motion and the separation effi-ciency in the gas-solid separation process.Previous studies have focused on the collision behavior of the spherical particles.However,in actual industrial processes,particles such as coal powder,biomass,and ore are all non-spherical particles.There are significant differ-ences in the rebound behavior between the non-spherical particles colliding with the wall and the spherical particles.To explore the re-bound behavior of the non-spherical particles colliding with the wall,an experimental device for particle-wall collisions was established.High-speed photography and image processing methods were used to obtain basic data of particle-wall collisions of the non-spherical par-ticles.The influence of the key parameters such as particle material,sphericity,wall roughness,impact angle,and impact speed on parti-cle-wall rebound behavior was analyzed.Based on the established four-parameter model of particle-wall collisions and neural net-work models,the rebound behavior between non-spherical particles and the wall was predicted.The results indicate that there is consis-tency in the rebound behavior of non-spherical particles colliding with the wall.Sphericity plays an important role in particle-wall colli-sions.The four-parameter model can predict collision results and random distribution characteristics well,while neural network models trained based on experimental data can achieve better prediction results.
gas-solid separationnon-spherical particlesparticle-wall collisioncollision modelrandom distribution
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