高铭泽, 邹胜, 刘文可. 基于Fluent对某型号除尘设备进行除尘仿真的二次开发[J]. 机械研究与应用, 2023, 36(6): 63-68. DOI: 10.16576/j.ISSN.1007-4414.2023.06.018
引用本文: 高铭泽, 邹胜, 刘文可. 基于Fluent对某型号除尘设备进行除尘仿真的二次开发[J]. 机械研究与应用, 2023, 36(6): 63-68. DOI: 10.16576/j.ISSN.1007-4414.2023.06.018
GAO Ming-ze, ZOU Sheng, LIU Wen-ke. Secondary Development of Dust Removal Simulation of a Certain Type of Dust Removal Equipment in Fluent[J]. Mechanical Research & Application, 2023, 36(6): 63-68. DOI: 10.16576/j.ISSN.1007-4414.2023.06.018
Citation: GAO Ming-ze, ZOU Sheng, LIU Wen-ke. Secondary Development of Dust Removal Simulation of a Certain Type of Dust Removal Equipment in Fluent[J]. Mechanical Research & Application, 2023, 36(6): 63-68. DOI: 10.16576/j.ISSN.1007-4414.2023.06.018

基于Fluent对某型号除尘设备进行除尘仿真的二次开发

Secondary Development of Dust Removal Simulation of a Certain Type of Dust Removal Equipment in Fluent

  • 摘要: 锂电池极片分割机一般需要配备相应的除尘装置来清除分切过程中产生的粉尘颗粒,以确保极片生产过程中的洁净度以及电池质量。目前,市场上常见的除尘装置有毛刷除尘装置及负压除尘装置。在设备设计阶段,可以通过耦合计算流体动力学和离散粒子法对设备性能进行预测,从而降低试错成本。Fluent现有的颗粒壁面条件模型忽略了壁面对颗粒吸附的影响,导致小粒径颗粒在除尘设备中的除尘率一直过于理想(除尘率接近99.9%),与实际生产过程中极片表面会附着细小粉尘的现象不符。因此,该文运用用户自定义接口对Fluent中的颗粒的壁面边界条件进行重新定义,使壁面对颗粒产生吸附作用。在加入壁面吸附条件后,设备对小于10μm颗粒的除尘率降至68.5%左右,使得仿真结果更具有可靠性,与实际生产过程中观察的现象相符。

     

    Abstract: The Lithium battery electrode slitting machine is usually equipped with corresponding dust removal equipment to remove small particles that are generated during the slitting process, so that the cleanliness of the productive environment and the battery quality can be ensured. Nowadays, there are two different kinds of dust removal mechanisms, rotating brushes and air exhauster, and their performance can be checked by coupling CFD(Computational Fluid Dynamics) and DPM(Discrete Particle Method) in Fluent. According to the simulation results, the design can be optimized and the trail-and-error cost can be reduced. In the current Fluent model, the attraction force between walls and particles is ignored, thus the dust removal rate of a dust removal equipment is overestimated(around 99.9%) for small particles, which is contradictory to the phenomenon that there are particles sticking on the walls. Hence, the wall boundary conditions of the particles in Fluent are redefined by using the UDF(user-defined functions) to generate the adsorption effect of the wall facing the particles. With this improvement, the particle can be trapped by walls based on its velocity, and the dust removal rate for particles with diameters less than 10 decreased dramatically, from 99.9% to 68.5%, which is more reliable and closer to the phenomenon observed in the real production process.

     

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