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Journal of Electrostatics
Article . 2025 . Peer-reviewed
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https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Application of Critical Energy Density Concept for Minimum Ignition Energy Determination

Authors: Copelli S.; Barozzi M.; Ballinari D.; Lugaresi O.; Moneta R.;

Application of Critical Energy Density Concept for Minimum Ignition Energy Determination

Abstract

This study presents a new concept, referred to as Critical Energy Density (CED), for estimating the Minimum Ignition Energy (MIE) of organic powders. Only readily experimental data, such as granulometric analysis, thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC), are required for running the mathematical model. The algorithm simulates the heating of a dust cloud exposed to an electrical spark and detects the ignition by comparing the energy released by the volatiles’ homogeneous combustion with a threshold value corresponding to the minimum energy required to sustain the flame propagation (that is, the CED). Validation was performed on six different organic powders, with estimated MIE values showing good agreement with experimental data. This approach provides a cost-effective tool for early-stage hazard assessment in industrial environments where combustible powders are present and supports the development of a safer process design.

Country
Italy
Keywords

Differential scanning calorimetry; Flammability; Minimum ignition energy; Modeling; Organic dust explosion; Thermogravimetric data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid