Modelling particle random walk in a confined environment for inclusion in fluidised bed applications

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• 作者：Mike Vanderroost^a ; Frederik Ronsse^a ; Koen Dewettinck^b ; Jan G. Pieters^a ; ^{jan.pieters@UGent.be}
• 关键词：Random walk ; Particulate flow ; Hexagonal close packed lattice
• 刊名：Powder Technology
• 出版年：2012
• 期刊代码：144_00325910
• 类别：et
• 出版时间：May, 2012
• 卷：221
• 期：Complete
• 页码：155-163
• 文件大小：1471 K

摘要

In many particulate systems, e.g., a particulate flow or a fluidised bed, particles are subjected to consecutive particle-particle collisions. From a stochastic point of view, these particle-particle collisions give rise to a random particle motion that in most processes is superposed onto a forced particle motion caused by well-described external forces that initialise and/or maintain the overall motion of the particulate system (pressure and concentration gradients, gravity, electromagnetic and mechanical forces). Modelling each individual particle-particle collision requires lots of computational time and power. For process control purposes however, models describing many-particle systems such as fluidised beds need to be able to describe the random particle motion in a relatively short amount of time. Therefore, a new stochastic and discrete method was developed that is able to simulate random walk in a confined and relatively dense environment without considering the underlying physics of the phenomena (e.g., particle-particle collisions in a particulate flow) that cause the random walk. The method was successfully tested for relatively dense particulate systems and will be incorporated in a process control model that is currently being developed for fluidised bed coating processes in which particle-particle collisions occur frequently and for which the description of the motion of individual particles is required.