家电科技 ›› 2026, Vol. 0 ›› Issue (1): 22-27.doi: 10.19784/j.cnki.issn1672-0172.2026.01.002

• 专题:制冷家电性能优化仿真研究 • 上一篇    下一篇

空调送风驱动下粒子扩散的数值模拟研究

邓超, 张纪宝, 赵可可, 陈纪敏   

  1. 海信家电集团股份有限公司 山东青岛 266100
  • 出版日期:2026-02-01 发布日期:2026-05-07
  • 通讯作者: 张纪宝,E-mail:zhangjibao1@hisense.com。
  • 作者简介:邓超,博士学位。研究方向:流场仿真及气流控制。地址:山东省青岛市崂山区海信研发中心。

A numerical simulation study of particle dispersion driven by air conditioner airflow

Deng Chao, Zhang Jibao, Zhao Keke, Chen Jimin   

  1. Hisense Home Appliances Group Co., Ltd. Qingdao 266100
  • Online:2026-02-01 Published:2026-05-07

摘要: 当前健康粒子扩散分析依赖实验测试,缺乏气流-粒子耦合作用分析;测试成本高、周期长,难以形成技术快速迭代。为解决在空调研发过程中相关健康粒子研究存在的实验耗费较高、动态观测缺失的问题,同时弥补现有CFD研究缺乏家用空调健康粒子精细化模拟、未考虑粒子自然衰减的缺陷,以CFD软件为工具开展粒子扩散动态过程模拟的研究,填补行业研究空白:通过搭建双向耦合仿真模型,并结合用户自定义函数二次开发引入粒子寿命衰减机制,对粒子扩散的浓度分布及扩散时间这两项主要指标进行求解分析,同时通过拆分计算域优化仿真效率,贴合空调实际研发工程需求;最终通过与实验实测值对比验证仿真模型的准确性,为家电行业健康粒子扩散仿真提供了定制化技术方案。从结果可见,通过仿真模型能够清晰地观察到颗粒扩散轨迹及分布状态,仿真结果与实测值关键指标误差能够保持在20%之内,该方法可为后续相关研究测试分析提供相应的参考。

关键词: 空调仿真, 数值模拟, DPM模型, 粒子扩散

Abstract: Current analysis of healthy particle dispersion relies heavily on experimental testing, which lacks analysis of the air-particle coupling interaction. These testing methods are often associated with high costs and long cycles, hindering rapid technological iteration. To address the issues of high experimental expenditure and the absence of dynamic observation in the research of healthy particles related to air conditioner development, CFD software was used as a tool to investigate the dynamic process of particle dispersion through simulation, aiming to fill the current research gap. By establishing a CFD-DPM coupled simulation model, the concentration distribution and dispersion time of the particles—the two main indicators—were solved and analyzed. The accuracy of the simulation model was validated through comparison with experimentally measured values. The results demonstrate that the simulation model clearly reveals the particle dispersion trajectories and distribution patterns. The error for key indicators between the simulation results and the measured values remains within 20%. The method can provide reference for subsequent related research and testing analysis.

Key words: Air conditioning simulation, Numerical simulation, Discrete phase model, Particle diffusion

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