Application of Critical Energy Density concept for Minimum Ignition Energy determination

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. • A model was designed to estimate the MIE of organic powders. • Model used particle size, TGA, and DSC data as input. • The concept of Critical Energy Density (CED) was introduced. • Six powders were tested to validate the model's accuracy. • Results matched the experiments, proving the model's reliability.

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Publication Details

Journal
Journal of Electrostatics
Published
2025-07-16
DOI
https://doi.org/10.1016/j.elstat.2025.104131
Primary Topic
Combustion and Detonation Processes
Type
article
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article

Application of Critical Energy Density concept for Minimum Ignition Energy determination

Sabrina Copelli, Marco Barozzi, Ottavio Lugaresi, Davide Ballinari et al.
Journal of Electrostatics
Combustion and Detonation Processes
article

Application of Critical Energy Density concept for Minimum Ignition Energy determination

Sabrina Copelli, Marco Barozzi, Ottavio Lugaresi, Davide Ballinari, Riccardo Moneta
article en

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. • A model was designed to estimate the MIE of organic powders. • Model used particle size, TGA, and DSC data as input. • The concept of Critical Energy Density (CED) was introduced. • Six powders were tested to validate the model's accuracy. • Results matched the experiments, proving the model's reliability.

Journal of ElectrostaticsVol. 136
University of Insubria (IT), Mettler-Toledo (United Kingdom) (GB)
Affordable and clean energy
Openalex Percentile: Top 76%
Combustion and Detonation Processes
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Application of Critical Energy Density concept for Minimum Ignition Energy determination — Sabrina Copelli, Marco Barozzi, et al. · Journal of Electrostatics (2025) | TGRS Research Map | TGRS