A side-scattering imaging method for the in-line monitoring of particulate matter emissions from cooking fumes. (15th December 2020)

• Record Type: Journal Article
• Authors: Zhou, Wu; Mei, Cong; Qin, Jinwei; Cai, Xiaoshu; Wang, Tianyi; He, Wanqing; Shi, Aijun
• Is Part Of: Measurement science & technology. Volume 32:Number 3(2021)
• Publication Date: 2020-12-15
• Subjects: side-scattering imaging -- cooking fumes -- particulate matter emission -- size -- concentration; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/abbd58
• Languages: English
• ISSNs: 0957-0233

Abstract

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.