微粒
材料科学
米氏散射
散射
光学
标准差
粒子(生态学)
粒度分布
聚苯乙烯
激光器
校准
粒径
光散射
分析化学(期刊)
计算物理学
物理
化学
复合材料
数学
色谱法
统计
地质学
物理化学
有机化学
海洋学
聚合物
量子力学
作者
Wu Zhou,Cong Mei,Jinwei Qin,Xiaoshu Cai,Tianyi Wang,Wanqing He,Aijun Shi
标识
DOI:10.1088/1361-6501/abbd58
摘要
Abstract To monitor the concentration of particulate matter (PM) from cooking fumes, an in-line measurement method was proposed based on the Lorenz–Mie scattering theory, and a measurement system was developed based on the side-scattering imaging technique with a laser beam for illumination. Polystyrene particles in water suspensions with a known particle size and concentration were utilized for validation. The experimentally obtained gray level of the image of the particle cloud along the laser beam agrees well with that predicted by theoretical model in the same configuration. The artificial fish swarm algorithm was adopted for inversion, and the results of particle size measurements show a standard deviation lower than 5% of the mean measured value at concentrations of 0.5–50 mg · m −3 . Using the retrieved particle size distribution, the PM concentrations can be measured with the calculated scattering coefficient k 2 and the measurement system dependent coefficients I 0 k 1 . The calibration experiments with polystyrene particle suspensions show a very good linear relationship of the image gray value on the particle concentration. This method makes it possible to monitor the PM concentrations using a non-contact and non-suction approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI