基于CFD-DPM的车载PM2.5传感器风道仿真分析与结构优化

Simulation Analysis and Structural Optimization of Air Ducts for Vehicle-mounted PM2.5 Sensors Based on CFD-DPM

  • 摘要: 随着经济的快速发展和人民生活水平的不断提升, 尾气排放、大气污染等环境问题逐渐受到广泛关注, 对PM2.5浓度的监测、空气质量的评估成为汽车必备的性能之一。构建基于米氏散射(Mie Scattering)原理和CFD-DPM耦合模型的车载PM2.5传感器粉尘颗粒检测方法。选取4种不同粒径的粉尘颗粒, 分别对光敏管接收区对应的上升沿截面高度、有/无导流栅结构、风扇转速等因素对散射接收的影响开展数值模拟仿真。结果表明, 设置上升沿截面h=1.4mm、构建导流栅结构和提高风扇转速有利于捕捉粉尘颗粒。该研究为车载PM2.5传感器的结构优化提供一定理论参考。

     

    Abstract: With the rapid economic development and the continuous improvement of people's living standards, exhaust emissions and PM2.5 pollution caused by automobiles have gradually attracted widespread attention. Monitoring air pollution and assessing the quality of air have become one of the essential performance features of automobiles. Construct a coupling model based on mie scattering principle and CFD-DPM for the detection of dust particles in vehicle-mounted PM2.5 sensors. Four different particle sizes of dust were selected to conduct numerical simulation on the influence of factors such as the height of the rising edge section corresponding to the receiving area of the photosensitive element, the presence or absence of the flow guide grid structure, and the fan speed on the scattering reception. The results show that setting the rising edge cross-section h=1. 4mm, constructing the deflector grid structure and the high fan speed are more conducive to capturing dust particles. The research provides certain theoretical support for the structural optimization of vehicle-mounted PM2.5 sensors.

     

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