An FFT based algorithm for particle charge measurement in the presence of a square-wave excitation field using Phase Doppler Anemometry

Kulon, Janusz; Roula, Ali; Al-Daher, Zaid; Zhang, Lu

doi:10.1109/icit.2013.6505820

Cited by 1 publication

(2 citation statements)

References 11 publications

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“…Under the influence of the drag and electrical forces in the square-wave excitation field, the particle motion consists of periods of acceleration, deceleration, and the steady state with velocity varying between 0 and its maximum value [38].…”

Section: Particle Trajectorymentioning

confidence: 99%

“…These discontinuous signals could be misconstrued by the PCSA signal processing unit as independent bursts generated by different particles. The detailed signal processing scheme dealing with such scenarios based on FFT algorithm combined with the evaluation of burst envelope in time domain has been presented by the authors in [38]. Such scenarios, however, can be easily detected in the simulations or all together avoided without resorting to sophisticated signal processing by reducing the excitation frequency or increasing the flow rate and thus present no problem for the PCSA operating within the optimal range of parameters proposed in this paper.…”

Section: B Criteria For Particle Detection and Validationmentioning

confidence: 99%

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Three-Dimensional Numerical Study of Particle Trajectory in Particle Charge and Size Analyzer Considering the Effects of System Parameters

Zhang

Kulon

2019

IEEE Access

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In this study, for the purpose of the optimization of the measurement system performance, a three-dimensional numerical model of the particle charge and size analyzer (PCSA) is presented. The PCSA is capable of simultaneous particle size and charge measurement using phase Doppler anemometry. Numerical simulations of particle transport under the influence of the square-wave excitation field have been carried out to identify the optimal PCSA system configurations, improve the particle detection rate, and minimize the measurement bias due to experimental conditions. For the first time, the three-dimensional (3-D) numerical model was used to study the effects of excitation frequency, magnitude of the electric field, and particle inlet velocity on the particle detection rate and charge and size measurement bias. The airflow and the particle motion in the measurement cell were investigated using commercial FLUENT 14.5 software and the particle detection and validation algorithm was implemented in MATLAB. The particle phase was modelled using the Lagrangian approach. The effect of the electric field on particle trajectories was analyzed by solving a coupled system of the electric field and particle transport equations using the User-Defined-Functions (UDFs) in FLUENT. The model was validated by comparing the numerical results with reported experimental data. This 3-D numerical simulation provides a valuable insight into various tradeoffs between the detection rate of particles with different electrical mobility levels and the PCSA parameters. The numerical simulation results demonstrate that the reduction of the measurement bias of particle charge and size distribution can be achieved while maintaining high particle detection percentage by an appropriate selection of system parameters, leading to a more representative profile of measured aerosols. It is shown that the optimal ranges of the excitation frequency, magnitude of electric field, and particle velocity at inlet are between 40 -50 Hz, 0.3 -0.4 MV/m, and 0.01 -0.03 m/s, respectively.INDEX TERMS Medical aerosol, particle charge and size measurement, phase Doppler anemometry (PDA), numerical simulation.

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Section: Particle Trajectorymentioning

confidence: 99%

Section: B Criteria For Particle Detection and Validationmentioning

confidence: 99%