具有仿生内表面结构的弯管抗冲蚀特性数值分析

目的 管道冲蚀是气固两相流动中不可忽视的重要问题,直接影响管路系统的安全运行及管道的使用寿命。针对这一问题,从仿生学角度,参照沙漠红柳、沙漠蝎子等的体表形态,设计三角形槽、矩形槽、等腰梯形槽3种抗冲蚀特性的弯管仿生表面结构。方法 运用CFD–DPM方法,采用Finnie冲蚀模型,考虑颗粒与流体的双向耦合作用,对所设计的具有仿生表面结构的弯管抗冲蚀特性进行模拟,并考虑不同流速、颗粒质量流量对冲蚀的影响。在数值模拟基础上,采用正交试验法分析三角形槽仿生结构的3个主要参数对抗冲蚀特性的影响。结果 数值模拟结果表明,具有仿生表面结构的弯管冲蚀主要出现在弯头35°～60°区域槽的底部。3种槽表面仿生结构均可提高弯管的耐磨性,三角形槽的抗冲蚀特性最佳,提高了约38.33%,矩形槽次之,提高了约28%,等腰梯形槽最差,仅提高了约8.33%,且3种仿生表面结构的抗冲蚀性能优劣次序不随流速和颗粒质量流量的变化而变化;正交试验结果表明,在三角形槽中影响冲蚀的因素依次为槽间距、槽宽、槽深,最佳组合结构的抗冲蚀性能相较于普通弯管提升了约41.5%。结论 槽形仿生表面结构减小了颗粒与壁面的碰撞,降低了碰撞速度,...     

基于CFD-DPM的大规模颗粒-流体系统数值仿真与分析

大规模复杂颗粒-流体系统主要运行参数与多物理场形态的关联机制不清晰,试验研究方法难以对这些运行参数和质量特性之间的耦合关系进行精准描述。为了探究大型立磨运行过程中多物理场耦合工作机理,通过构建粗粒非解析CFD-DPM耦合模型进行数值模拟,分析主要运行参数对立磨流场、颗粒分级、粒度分布以及成品质量的影响,模拟结果与实际工况运行结果吻合度较好,验证了所建数值计算模型能够有效地模拟出大规模颗粒-流体系统的动态选粉过程。结果表明,系统风量与选粉机转速直接影响着立磨离心分级的切割粒径与成品细度,当其它参数不变,随着系统风量增大切割粒径值变大、成品比表面积越小;当只改变选粉装置转速,切割粒径随着转速增大而减小、成品比表面积越大。     

Numerical simulations and validation of gas–solid flows in a fluidized-bed roaster based on the CFD-DPM model

In view of the complex gas–solid flow characteristics in a fluidized-bed roaster, the discrete phase model (DPM) provided by ANSYS software was used to numerically analyze the model using a coupled algorithm. The asymmetric flow phenomenon in the transition section at the top of the furnace was found to be unfavourable to the gas–solid flow, and an inverted U-shaped furnace structure was proposed to optimize the transition section at the top of the furnace. A large cold experimental setup was built to verify the model. The results showed that the air velocity is mainly in the axial upward direction; under the action of the gas, the solid particles and the air velocity are basically in the same direction. The main furnace and subfurnace connection section changes the movement of the gas–solid mixture, and its unreasonable structure leads to the asymmetric flow phenomenon of the gas–solid fluid at the top of the furnace. Compared with the previous furnace structure, the uniformity of gas–solid flow in the optimized ‘inverted U-shaped’ structure has been significantly improved. The cold experimental results are in good agreement with the numerical simulation results, which verifies the accuracy of the proposed model.     

Operation parameters multi-objective optimization method of large vertical mill based on CFD-DPM

The association mechanism between the main operation parameters and multi-physical fields of the large-scale vertical mill system is unclear, which leads to the difficulty in optimizing operation parameters to improve the performance of large vertical mill systems. To investigate the mechanism of multi-physical field coupling in the operation of the large vertical mill, the numerical simulation method is constructed by coupled CFD-DPM model to calculate the finished product quality, the simulation results were in good agreement with the actual operation results. Based on the Kriging surrogate model, a multi-objective optimization framework for large vertical mills is proposed. Finally, the multi-objective optimization design of LGM large vertical mills is carried out. Combined with CFD-DPM coupling method is developed, design variables and output responses are determined. The Kriging method is used for correlation analysis. The multi-objective optimization function was established. The NSGA-II. optimization algorithm was used to update the surrogate model and obtain the optimal solution, and the optimized operating parameters increased the vertical mill yield by 5.34% and the specific surface area by 9.07%. The maximum relative error between the simulated value and the optimized value is 2.02% through numerical calculation, which verifies the superiority of the optimization method of large vertical mill for performance improvement.