In the framework of the on-going research on dust explosion, both a physical and chemical theory and numerical models extensively validated are yet to be found. In order to develop control tools essential to continuously measure a set of key parameters for dust explosiveness, the authors performed stainless steel dust mobilization experiments inside STARDUST-U facility using a controlled air inlet whose features are comparable to the ones typical of several industrial scenarios. Dust particles velocity and concentration within the cloud were measured with non-invasive diagnostics involving imaging techniques and a custom software. The STARDUST-U facility showed capability to provide useful data for validation of numerical models. Furthermore, a custom software allowed to determine the relative dustiness, defined as a non-dimensional parameter proportional to dust concentration and not dependent on dust mass and vessel volume. This study is a first step towards a complete integration of the air inlet modeling and dust tracking software, in order to determine dustiness inside the cloud. The authors believe that the imaging techniques presented could represent a valuable tool for industry in order to perform continuous monitoring of vessels with the aim of controlling and mitigating dust explosion risks.

Poggi, L.a., Gaudio, P., Rossi, R., Ciparisse Jean, F., Malizia, A. (2017). Non-invasive assessment of dust concentration and relative dustiness in a dust cloud mobilized by a controlled air inlet inside STARDUST-U facility. RELIABILITY ENGINEERING & SYSTEM SAFETY, 167, 527-535 [10.1016/j.ress.2017.07.001].

Non-invasive assessment of dust concentration and relative dustiness in a dust cloud mobilized by a controlled air inlet inside STARDUST-U facility

Poggi Luigi Antonio
;
Gaudio Pasqualino;Rossi Riccardo;Malizia Andrea
2017-11-01

Abstract

In the framework of the on-going research on dust explosion, both a physical and chemical theory and numerical models extensively validated are yet to be found. In order to develop control tools essential to continuously measure a set of key parameters for dust explosiveness, the authors performed stainless steel dust mobilization experiments inside STARDUST-U facility using a controlled air inlet whose features are comparable to the ones typical of several industrial scenarios. Dust particles velocity and concentration within the cloud were measured with non-invasive diagnostics involving imaging techniques and a custom software. The STARDUST-U facility showed capability to provide useful data for validation of numerical models. Furthermore, a custom software allowed to determine the relative dustiness, defined as a non-dimensional parameter proportional to dust concentration and not dependent on dust mass and vessel volume. This study is a first step towards a complete integration of the air inlet modeling and dust tracking software, in order to determine dustiness inside the cloud. The authors believe that the imaging techniques presented could represent a valuable tool for industry in order to perform continuous monitoring of vessels with the aim of controlling and mitigating dust explosion risks.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/20 - Misure e Strumentazione Nucleari
Settore FIS/01
English
Con Impact Factor ISI
Dust; Dustiness; Explosion; Imaging; Industry
https://www.sciencedirect.com/science/article/pii/S0951832016304938
2-s2.0-85021921861
Poggi, L.a., Gaudio, P., Rossi, R., Ciparisse Jean, F., Malizia, A. (2017). Non-invasive assessment of dust concentration and relative dustiness in a dust cloud mobilized by a controlled air inlet inside STARDUST-U facility. RELIABILITY ENGINEERING & SYSTEM SAFETY, 167, 527-535 [10.1016/j.ress.2017.07.001].
Poggi, La; Gaudio, P; Rossi, R; Ciparisse Jean, F; Malizia, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/242211
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