Abstract
Prediction of flammability characteristics of materials is possible via molar group contribution calculations. However, in most industries raw material composition is unknown and micro combustion calorimeter (MCC) is applied for measuring heat release rate (HRR) and calculates flammability characteristics. This work predicts HRR and flammability characteristics for complex formulations based on HRR from a reduced number of the individual constituents, all with unknown chemical composition. Water-based paints (> 15 components) with and without chemical interaction during thermal decomposition were predicted via linear combinations of component HRR and validated against experimental MCC data. Prediction of HRR and flammability characteristics was successful, and the obvious breakdown for reactive mixtures was confirmed. These results can be utilized as screening tool for flammability characteristics and identity component interaction in mixtures—which considerably enhances the strength of MCC in development of new materials.
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Acknowledgements
The authors thank Kim Mathisen for insights on paint formulation. This work is partly funded by Innovation Fund Denmark (Grant No: 9065-00233B).
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IH-B involved in conceptualization, formal analysis, investigation, methodology, software, validation, writing—original draft, writing—review and editing. KJ took part in formal analysis, investigation, validation. JR involved in funding, resources, supervision, writing—review and editing. MH involved in conceptualization, methodology, software, supervision, funding, project administration, resources, writing—review and editing.
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As a paint producer of fire-retardant products, Teknos (i.e. Iben Hansen-Bruhn, Kirsten Jensen, and Jens B. Ravnsbæk) declares interest in commercial exploitation of the work reported in this paper. Mogens Hinge declares to have no conflict of interest.
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Hansen-Bruhn, I., Jensen, K., Ravnsbæk, J.B. et al. Micro combustion calorimeter for development of fire protective paints. J Therm Anal Calorim 148, 3993–4000 (2023). https://doi.org/10.1007/s10973-023-12018-2
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DOI: https://doi.org/10.1007/s10973-023-12018-2