1.东北大学低碳钢铁前沿技术教育部工程研究中心,辽宁 沈阳 110819
2.东北大学冶金学院,辽宁 沈阳 110819
3.武汉新锐合金工具有限公司,湖北 武汉 430100
4.华侨大学机电及自动化学院,福建 厦门 361021
钟赢(2000—),男,硕士研究生,1591772106@qq.com
张浩(1984—),男,博士,教授,zhangh@mail.neu.edu.cn
收稿:2026-03-24,
修回:2026-08-03,
录用:2026-08-05,
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钟赢, 姬敬博, 余立新, 等. 基于VOF-DPM方法的硬质合金搅拌槽混合过程模拟与参数优化[J/OL]. 化工学报, 2026.
ZHONG Ying, JI Jingbo, YU Lixin, et al. Numerical simulation and parameter optimization of mixing process in cemented carbide stirred tank based on VOF-DPM method[J/OL]. CIESC Journal, 2026.
钟赢, 姬敬博, 余立新, 等. 基于VOF-DPM方法的硬质合金搅拌槽混合过程模拟与参数优化[J/OL]. 化工学报, 2026. DOI: 10.11949/0438-1157.20260397.
ZHONG Ying, JI Jingbo, YU Lixin, et al. Numerical simulation and parameter optimization of mixing process in cemented carbide stirred tank based on VOF-DPM method[J/OL]. CIESC Journal, 2026. DOI: 10.11949/0438-1157.20260397.
针对硬质合金料浆混合过程中均匀性不足、混合效率较低的问题,采用流体体积法-离散相模型(VOF-DPM)耦合方法,对搅拌槽内气液固三相流动进行了数值模拟研究,并结合工厂试验对优化结果进行了验证。重点研究了桨叶转速、双桨间距、上桨直径及下桨倾角对混合过程的影响。结果表明,当桨叶转速设定为210 r/min、双桨间距180 mm、上桨直径300 mm、下桨倾角60°时,槽内可形成稳定且连续的螺旋上升流场,传统搅拌中常见的流动死区被有效消除,颗粒分布均匀度显著提高。工厂试验结果表明,采用优化参数后,料浆密度波动幅度显著减小,过程稳定性提高。本研究结合数值模拟与实验验证,为复杂料浆的搅拌混合工艺优化提供了扎实的理论支撑与可行的工程参考。
To address the issues of insufficient uniformity and low mixing efficiency during the preparation of cemented carbide slurries
a coupled Volume of Fluid-Discrete Phase Model (VOF-DPM) numerical simulation approach is employed to investigate the gas-liquid-solid three-phase flow within a stirred tank. The optimized results are further validated through industrial experiments. The effects of key operational and structural parameters
including impeller speed
dual-impeller spacing
upper impeller diameter
and lower impeller inclination angle
on the mixing process are systematically examined. The results indicate that under the optimal conditions of an impeller speed of 210 r/min
an impeller spacing of 180 mm
an upper impeller diameter of 300 mm
and a lower impeller inclination angle of 60°
a stable and continuous spiral upward flow field is established in the tank. This flow pattern effectively eliminates the stagnant regions commonly observed in conventional stirring processes and significantly improves the uniformity of particle distribution. Industrial experiments further confirm that under the optimized parameters
the fluctuation range of slurry density is substantially reduced
and process stability is enhanced. By integrating numerical simulation with experimental validation
this study provides a solid theoretical basis and practical engineering guidance for the optimization of complex slurry mixing processes.
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