ZHAO Zheng

(CCTEG Chongqing Research Institute, Chongqing 400037, China)

Abstract：Pneumoconiosis is the occupational disease with the highest number of cases in China, and continues to occur and grow at a rate of 10 000 annually, causing huge economic losses and adverse effects to society. The main culprit is respiratory dust. Separating respiratory dust from total dust is an important prerequisite for respiratory dust monitoring and early warning of pneumoconiosis. In order to overcome the problems of frequent maintenance and secondary dust raising in traditional separation methods such as inertial impact, elutriation analysis and cyclone separation, the mathematical relationship between dust electromigration rate and dust particle size was clarified by combining theoretical research and experimental analysis, and a dust charge separation test system was established. Based on the electromigration characteristics of dust particles, a charge separation method for respirable dust was proposed. According to MT 394-1995 Measurement Method for Sampling Efficiency of Respiratory Dust Measuring Instruments the separation efficiency of the charged separation method for respiratory dust is experimentally verified. The results show that this separation method does not require frequent maintenance and does not generate secondary dust. The separation efficiency of respiratory dust meets the standard requirements with a maximum deviation of 4.24% and a minimum deviation of 1.27%, compared to the lung sedimentation rate curve proposed by the British Medical Research Council (BMRC).

Keywords：pneumoconiosis; electromigration characteristic; respirable dust; dust charge separation; separation efficiency

Get Citation：ZHAO Z. Charge separation method of respirable dust based on electromigration characteristics[J]. China Powder Science and Technology, 2023, 29(4): 150-158.

DOI：10.13732/j.issn.1008-5548.2023.04.015

Received：2022-11-22,Revised：2023-05-18,Online：2023-06-21 17:09。

Funding Project：重庆市自然科学基金项目,编号:cstc2020jcyj-msxmX0512;中国煤炭科工集团重点项目,编号:2021-2-TD-ZD009。

Author：赵政(1983—),男,副研究员,博士,研究方向为粉尘安全仪表及尘肺预警。 E-mail:zhaozheng-724@163.com。