2024
DOI: 10.1016/j.firesaf.2023.104041
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Assessment of the predictive capabilities of a solid-gas model for poly (methyl methacrylate) ignition

A. Galgano,
C. Di Blasi
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Cited by 3 publications
(13 citation statements)
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“…For the development of predictive models, chemical and physical processes should be described with accuracy levels depending on specific requirements for the predictions. In accordance with the literature review reported in [7,8], the first class of PMMA ignition models consists of condensed-phase descriptions coupled with empirical ignition criteria [9][10][11][12][13][14][15][16][17][18][19]. Another model class is based on descriptions of both the condensed and gas phases [7,8,[20][21][22][23][24][25][26][27][28][29], which do not require the use of empirical criteria.…”
Section: Introductionmentioning
confidence: 81%
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“…For the development of predictive models, chemical and physical processes should be described with accuracy levels depending on specific requirements for the predictions. In accordance with the literature review reported in [7,8], the first class of PMMA ignition models consists of condensed-phase descriptions coupled with empirical ignition criteria [9][10][11][12][13][14][15][16][17][18][19]. Another model class is based on descriptions of both the condensed and gas phases [7,8,[20][21][22][23][24][25][26][27][28][29], which do not require the use of empirical criteria.…”
Section: Introductionmentioning
confidence: 81%
“…In accordance with the literature review reported in [7,8], the first class of PMMA ignition models consists of condensed-phase descriptions coupled with empirical ignition criteria [9][10][11][12][13][14][15][16][17][18][19]. Another model class is based on descriptions of both the condensed and gas phases [7,8,[20][21][22][23][24][25][26][27][28][29], which do not require the use of empirical criteria. These include both simple unsteady onedimensional models, which give quantitative information on the main global parameters (e.g., ignition delay time, surface temperature, and volatile mass flux at ignition), and more advanced CFD formulations.…”
Section: Introductionmentioning
confidence: 81%
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