基于温度梯度对吸烟效果影响的仿真及系统控制研究
Research on simulation and system control of smoking effect based on temperature gradient
陈文海 1吴勇 2孟永哲 2管国虎 2刘凡 2王丽丽2
作者信息
- 1. 青岛海尔智慧厨房电器有限公司 山东青岛 266100;数字家庭网络国家工程研究中心 山东青岛 266101
- 2. 青岛海尔智慧厨房电器有限公司 山东青岛 266100
- 折叠
摘要
吸油烟机清除室内油烟气粒混合物的过程主要分为拢油烟、吸油烟和排油烟三个阶段.拢油烟的能力是吸油烟机排烟效果的首要保障,研究发现灶具在加热过程中产生的热量会在炉头和吸油烟机吸烟口之间形成温度梯度,温度梯度油烟颗粒作用产生了向上的热浮力,在热浮力的作用下,油烟颗粒混合物上升和扩散的速度也不同.从模拟仿真和实机测试两个维度进行分析,由于燃气灶和电磁灶的加热原理和热传导方式不同,分别使用燃气灶和电磁灶两种不同加热方式验证不同的温度梯度对吸油烟机吸烟效果影响.分析发现燃气灶加热比电磁灶加热油烟气粒混合物体扩散速度提升约2倍,油烟捕集率下降约12%,通过温度作为判断条件,可在不增加能耗的情况下保证吸烟效果.
Abstract
The process of using a range hood to remove indoor oil smoke and gas particle mixtures is mainly divided into three stages:collecting oil smoke,sucking oil smoke,and discharging oil smoke.The ability to collect oil smoke is the primary guarantee for the smoke exhaust effect of the range hood.Research has found that the heat generated by the stove during the heating process forms a temperature gradient between the stove head and the smoke exhaust port of the range hood.The temperature gradient oil smoke particles generate upward thermal buoyancy,and under the effect of thermal buoyancy,the speed at which the mixture of oil smoke particles rises and diffuses also varies.Analyze from two dimensions:simulation and real machine testing,due to the different heating principles and heat conduction methods of gas stoves and electromagnetic stoves,using gas stoves and electromagnetic stoves separately to verify the impact of different temperature gradients on the smoking effect of range hoods.Analysis found that gas stoves increase the diffusion speed of the mixture of oil smoke and particles by about 2 times compared to electromagnetic stoves,and the capture rate of oil smoke decreases by about 12%.By using temperature as a judgment criterion,the smoking effect can be ensured without increasing energy consumption.
关键词
油烟气粒混合物/温度梯度/热浮力/排烟效果Key words
Mixture of oil fume gas and particulate matter/Temperature gradient/Thermal buoyancy/Smoke exhaust effect引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据