Image analysis for the time-resolved description of microparticle resuspension under transient airflow - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Journal of Aerosol Science Year : 2023

Image analysis for the time-resolved description of microparticle resuspension under transient airflow

Abstract

This paper presents an automatic particle detection algorithm to study the time-resolved resuspension of isolated microparticle mono-layers exposed to airflow acceleration followed by steady-state. The algorithm post-processes movies of the deposit behaviour and returns the particle number, the granulometry, and the homogeneity of each frame. It allows the detection and isolation of the particle clusters to process them separately. The algorithm is validated using both synthetic images, and experimental datasets corresponding to ventilated duct cases. The number of particles remaining on the surface over time is returned, and correlations can be made with instantaneous physical parameters of the flow (e.g., centre or friction velocity). The algorithms and data are available online: see Cazes et al. (2023); CAZES et al. (2023), respectively.
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Dates and versions

hal-04109582 , version 1 (30-05-2023)

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Corentin Cazes, Lionel Fiabane, Félicie Theron, Dominique Heitz, Laurence Le Coq. Image analysis for the time-resolved description of microparticle resuspension under transient airflow. Journal of Aerosol Science, 2023, 173, pp.106198. ⟨10.1016/j.jaerosci.2023.106198⟩. ⟨hal-04109582⟩
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