Predictive Assessment of Organic/mineral Dust Explosion
Incorporating mineral dust into organic powders is a common practice in industries such as pharmaceuticals, food production, and cosmetics to enhance product functionality. However, these additions can significantly alter the ignition sensitivity and explosion severity of the mixtures, complicating...
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| Format: | Article |
| Language: | English |
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AIDIC Servizi S.r.l.
2025-06-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/15194 |
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| author | José Serrano Andr Laurent Fabrice Putier Laurent Perrin Olivier Dufaud |
| author_facet | José Serrano Andr Laurent Fabrice Putier Laurent Perrin Olivier Dufaud |
| author_sort | José Serrano |
| collection | DOAJ |
| description | Incorporating mineral dust into organic powders is a common practice in industries such as pharmaceuticals, food production, and cosmetics to enhance product functionality. However, these additions can significantly alter the ignition sensitivity and explosion severity of the mixtures, complicating risk assessments performed without comprehensive experimental testing. This study focused on animal feed products and developed empirical models to predict explosion safety parameters - Minimum Ignition Energy (MIE), maximum explosion overpressure (Pmax), and deflagration index (KSt) - for organic-mineral powder mixtures with varying chemical properties and particle sizes, in a control bounding approach. The experimental campaign was designed using a combined Design of Experiments strategy. Key factors for model development included inerting mechanisms (such as heat sink and scavenging of free radicals), characteristic Particle Size Distribution (PSD) diameters, and the fuel fraction in the mixture. The MIE model demonstrated an outstanding 98 % accuracy in recommending suitable types A and B Flexible Intermediate Bulk Containers (FIBC). Additionally, explosion severity parameters were reliably predicted within a confidence interval that extends 50 % beyond standard experimental variability. The proposed methodology and models thus provide a strategic and practical tool for implementing inherent safety principles during the formulation of powder mixtures. |
| format | Article |
| id | doaj-art-75e28306ed7c412db927519b1e2dfb3c |
| institution | Kabale University |
| issn | 2283-9216 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj-art-75e28306ed7c412db927519b1e2dfb3c2025-08-20T03:27:33ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162025-06-01116Predictive Assessment of Organic/mineral Dust ExplosionJosé SerranoAndr LaurentFabrice PutierLaurent PerrinOlivier DufaudIncorporating mineral dust into organic powders is a common practice in industries such as pharmaceuticals, food production, and cosmetics to enhance product functionality. However, these additions can significantly alter the ignition sensitivity and explosion severity of the mixtures, complicating risk assessments performed without comprehensive experimental testing. This study focused on animal feed products and developed empirical models to predict explosion safety parameters - Minimum Ignition Energy (MIE), maximum explosion overpressure (Pmax), and deflagration index (KSt) - for organic-mineral powder mixtures with varying chemical properties and particle sizes, in a control bounding approach. The experimental campaign was designed using a combined Design of Experiments strategy. Key factors for model development included inerting mechanisms (such as heat sink and scavenging of free radicals), characteristic Particle Size Distribution (PSD) diameters, and the fuel fraction in the mixture. The MIE model demonstrated an outstanding 98 % accuracy in recommending suitable types A and B Flexible Intermediate Bulk Containers (FIBC). Additionally, explosion severity parameters were reliably predicted within a confidence interval that extends 50 % beyond standard experimental variability. The proposed methodology and models thus provide a strategic and practical tool for implementing inherent safety principles during the formulation of powder mixtures.https://www.cetjournal.it/index.php/cet/article/view/15194 |
| spellingShingle | José Serrano Andr Laurent Fabrice Putier Laurent Perrin Olivier Dufaud Predictive Assessment of Organic/mineral Dust Explosion Chemical Engineering Transactions |
| title | Predictive Assessment of Organic/mineral Dust Explosion |
| title_full | Predictive Assessment of Organic/mineral Dust Explosion |
| title_fullStr | Predictive Assessment of Organic/mineral Dust Explosion |
| title_full_unstemmed | Predictive Assessment of Organic/mineral Dust Explosion |
| title_short | Predictive Assessment of Organic/mineral Dust Explosion |
| title_sort | predictive assessment of organic mineral dust explosion |
| url | https://www.cetjournal.it/index.php/cet/article/view/15194 |
| work_keys_str_mv | AT joseserrano predictiveassessmentoforganicmineraldustexplosion AT andrlaurent predictiveassessmentoforganicmineraldustexplosion AT fabriceputier predictiveassessmentoforganicmineraldustexplosion AT laurentperrin predictiveassessmentoforganicmineraldustexplosion AT olivierdufaud predictiveassessmentoforganicmineraldustexplosion |