Development of handling energy factors for use of dustiness data in exposure assessment modelling.

continuous drop dustiness exposure assessment exposure modelling handling powders nanomaterials small rotating drum

Journal

Annals of work exposures and health
ISSN: 2398-7316
Titre abrégé: Ann Work Expo Health
Pays: England
ID NLM: 101698454

Informations de publication

Date de publication:
15 Mar 2024
Historique:
received: 28 07 2023
accepted: 01 02 2024
medline: 18 3 2024
pubmed: 25 2 2024
entrez: 24 2 2024
Statut: ppublish

Résumé

Several exposure assessment models use dustiness as an input parameter for scaling or estimating exposure during powder handling. Use of different dustiness methods will result in considerable differences in the dustiness values as they are based on different emission generation principles. EN17199:2019 offers 4 different dustiness test methods considering different dust release scenarios (e.g. powder pouring, mixing and gentle agitation, and vibration). Conceptually, the dustiness value by a given method can be multiplied with a scenario-specific modifier, called a handling energy factor (Hi), that allows conversion of a dustiness value to a release constant. Therefore, a Hi, scaling the effective mechanical energy in the process to the energy supplied in the specific dustiness test, needs to be applied. To improve the accuracy in predictive exposure modelling, we derived experimental Hi to be used in exposure algorithms considering both the mass- and number-based dust release fraction determined by the EN17199-3 continuous drop (CD) and the EN17199-4 small rotating drum (SRD) test methods. Three materials were used to evaluate the relationship between dustiness and dust levels during pouring powder from different heights in a controlled environment. The results showed increasing scatter and difference between the Hi derived for the 2 test methods with increasing pouring height. Nearly all the Hi values obtained for both SRD and CD were <1 indicating that the dustiness tests involved more energy input than the simulated pouring activity and consequently de-agglomeration and dust generation were higher. This effect was most pronounced in CD method showing that SRD mechanistically resembles more closely the powder pouring.

Identifiants

pubmed: 38401569
pii: 7613911
doi: 10.1093/annweh/wxae009
pmc: PMC10941727
doi:

Substances chimiques

Dust 0
Air Pollutants, Occupational 0
Powders 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

295-311

Subventions

Organisme : European Union's Horizon 2020 research and innovation programme
ID : 686239
Organisme : European Union's Horizon 2020
ID : 686239

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

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Auteurs

Ana Sofia Fonseca (AS)

National Research Centre for the Working Environment (NRCWE), Lersø Parkallé 105, DK-2100 Copenhagen, Denmark.

Carla Ribalta (C)

National Research Centre for the Working Environment (NRCWE), Lersø Parkallé 105, DK-2100 Copenhagen, Denmark.
Federal Institute for Occupational Safety and Health (BAuA), Nöldnerstr. 40-42, 10317 Berlin, Germany.

Neeraj Shandilya (N)

TNO, Risk Assessment of Products In Development, Utrechtseweg 48, 3704 HE Zeist, Netherlands.

Wouter Fransman (W)

TNO, Risk Assessment of Products In Development, Utrechtseweg 48, 3704 HE Zeist, Netherlands.

Keld Alstrup Jensen (K)

National Research Centre for the Working Environment (NRCWE), Lersø Parkallé 105, DK-2100 Copenhagen, Denmark.

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Classifications MeSH