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Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?

Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a prelimi...

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Autores principales: Shandilya, Neeraj, Kuijpers, Eelco, Tuinman, Ilse, Fransman, Wouter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853698/
https://www.ncbi.nlm.nih.gov/pubmed/31587034
http://dx.doi.org/10.1093/annweh/wxz065
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author Shandilya, Neeraj
Kuijpers, Eelco
Tuinman, Ilse
Fransman, Wouter
author_facet Shandilya, Neeraj
Kuijpers, Eelco
Tuinman, Ilse
Fransman, Wouter
author_sort Shandilya, Neeraj
collection PubMed
description Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a preliminary investigation of a standardized continuous drop test scenario, we present first set of results on the varying degrees or weights of influence of these properties on the aerosolization tendency of powder particles. The inter-particle distance is found to be the most dominant property controlling the particle aerosolization, followed by the ability of powder particles to get electrostatically charged. We observe the kinetics involved during powder aerosolization to be governed by two ratios: drag force/cohesive force and drag force/gravitational force. The converging tendencies in these initial results indicate that these physical properties can be used to model dustiness of falling powder, which can eventually be used in risk assessment tools for an efficient exposure estimation of the powders.
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spelling pubmed-68536982019-11-19 Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? Shandilya, Neeraj Kuijpers, Eelco Tuinman, Ilse Fransman, Wouter Ann Work Expo Health Original Articles Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a preliminary investigation of a standardized continuous drop test scenario, we present first set of results on the varying degrees or weights of influence of these properties on the aerosolization tendency of powder particles. The inter-particle distance is found to be the most dominant property controlling the particle aerosolization, followed by the ability of powder particles to get electrostatically charged. We observe the kinetics involved during powder aerosolization to be governed by two ratios: drag force/cohesive force and drag force/gravitational force. The converging tendencies in these initial results indicate that these physical properties can be used to model dustiness of falling powder, which can eventually be used in risk assessment tools for an efficient exposure estimation of the powders. Oxford University Press 2019-11 2019-10-06 /pmc/articles/PMC6853698/ /pubmed/31587034 http://dx.doi.org/10.1093/annweh/wxz065 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the British Occupational Hygiene Society. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Shandilya, Neeraj
Kuijpers, Eelco
Tuinman, Ilse
Fransman, Wouter
Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title_full Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title_fullStr Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title_full_unstemmed Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title_short Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
title_sort powder intrinsic properties as dustiness predictor for an efficient exposure assessment?
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853698/
https://www.ncbi.nlm.nih.gov/pubmed/31587034
http://dx.doi.org/10.1093/annweh/wxz065
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