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雾霾检测是环境治理的重要环节，但雾霾检测传感器存在颗粒物附着后不能运行的问题。为解决这一问题，提出了一种基于声凝并原理的超声波清洁技术。常用的机械式除尘法对微米级颗粒去除效果不显著，湿式除尘法会增加设备被腐蚀的风险，静电除尘法存在供电电压高、功耗大等缺点。与以上除尘法相比，该技术具有非接触、非损伤等特点，适用于清洁传感器。计算了极板与颗粒物的粘附力和超声波发生器的频率与功率；仿真确定了超声波换能器的声波传导范围、固定背板的结构和放置位置；通过分析超声波在空间的传导状况，优化了超声波的传播频率和声压，确定了声强变化范围。实验结果表明，清灰后传感器的质量减小，且最小电流与清灰前初始电流仅相差1.9%,除尘效率高达98%,优于常用的基于气旋原理的气体流量传感器除尘装置，表明了超声波清灰技术的高效性。
Abstract：Haze detection is important for environmental governance. However, the haze detection sensor has the problem that it cannot operate after particles are attached. An ultrasonic cleaning technology based on the principle of acoustic agglomeration was proposed to solve this problem.The commonly used mechanical dust removal method has no significant effect on the removal of micron particles, the wet dust removal method will increase the risk of equipment corrosion, and the electrostatic dust removal method has disadvantages such as high power supply voltage and large power consumption. Compared with the above dust removal method, this technology has the characteristics of non-contact and non-damage, and is suitable for sensor cleaning. The adhesion force between the electrode plates and particles and the frequency and power of the ultrasonic generator were calculated. The range of acoustic wave conduction, the structure and position of fixed backplane of ultrasonic transducer were determined by simulation. By analyzing the conduction state of ultrasonic wave in space, the propagation frequency and sound pressure of ultrasonic wave were optimized, and the variation range of sound intensity was determined. The experimental results show that the mass of the sensor is reduced after cleaning and the difference between the minimum current and the initial current is only 1.9%, and the dust removal efficiency is as high as 98%, which is better than the commonly used gas flow sensor dust removal device based on the cyclone principle, indicating the high efficiency of ultrasonic cleaning technology.
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基本信息:
DOI：10.13250/j.cnki.wndz.25010401
中图分类号:X831;TP212
引用信息:
[1]张勇,解靓,李小玉,等.电离式雾霾颗粒传感器的超声波清灰研究[J].微纳电子技术,2025,62(01):79-89.DOI:10.13250/j.cnki.wndz.25010401.
基金信息:
国家重点研发计划(2021YFB2012500); 国家自然科学基金(51577142)
2024-03-29
2024
2024-07-02
2024-07-09
2024
1
2024-11-27
2024-11-27
2024-11-27