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热羽流与置换通风作用下油雾颗粒预测模型

王非 孟钦鹏 翁文兵 耿宇 王昕

空气动力学学报2024,Vol.42Issue(3):119-128,10.
空气动力学学报2024,Vol.42Issue(3):119-128,10.DOI:10.7638/kqdlxxb-2023.0048

热羽流与置换通风作用下油雾颗粒预测模型

Prediction model of oil mist particles under the effects of heat plume and displacement ventilation

王非 1孟钦鹏 1翁文兵 1耿宇 1王昕1

作者信息

  • 1. 上海理工大学环境与建筑学院,上海 200093
  • 折叠

摘要

Abstract

The vertical inhomogeneous particle concentration in a large-space machining workshop with a displacement ventilation system will increase the required ventilation volume for indoor particle concentration reduction.The present work presents a particle concentration prediction model using a zonal modeling method that can rapidly predict the vertical particle concentration distribution for the energy-saving performance analysis of the ventilation system.The model,which takes the wall heat plume zone,heat source heat plume zone,and main airflow zone into account,can obtain the inter-regional airflow based on the energy balance and continuity equations and predict the zonal particle concentration based on the mass balance equations using particle emission rates and inter-regional airflow.A validation experiment conducted in a scaled chamber demonstrates that the relative error of the prediction model is less than 20%,it shows that the model can basically meet the engineering requirements.Further study of the prediction model by a case study under five particle emission conditions showed that the required air volume supply can be reduced by 18.83%to 44.41%compared to the traditional method used on variable air volume system.Overall,the prediction model can accurately and rapidly predict the vertical particle concentration distribution in large-space machining workshops under displacement ventilation,showing promising prospects in optimizing the performance of the ventilation system.

关键词

机械加工/油雾颗粒/垂直分布/区域模型/热羽流

Key words

machining/oil mist particles/vertical distribution/zone model/thermal plume

分类

建筑与水利

引用本文复制引用

王非,孟钦鹏,翁文兵,耿宇,王昕..热羽流与置换通风作用下油雾颗粒预测模型[J].空气动力学学报,2024,42(3):119-128,10.

基金项目

国家自然科学基金面上项目(52278116) (52278116)

机械工业联合会重点实验室创新平台项目(2019SA-10-07) (2019SA-10-07)

空气动力学学报

OA北大核心CSTPCD

0258-1825

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