2011
DOI: 10.2298/tsci100621003x
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Time to flashover of a vinyl based lining material: Cone calorimeter experiments

Abstract: Fire behaviour of a vinyl based lining material with and without anti-corrosion painting has been evaluated through 35 and 50kW/m2 cone calorimeter tests. The minimum heat flux requited for surface ignition was estimated. The data were compared by those provided by a revised Kokkala-Thomas’s classification index prediction model, the Östman-Tsantaridis empirical linear regression model and the Hansen-Hovde multiple discriminant function analysis (MDA). All results collected allowed to predict the materi… Show more

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Cited by 5 publications
(3 citation statements)
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“…Electrospinning was rapidly emerging as a simple and reliable technique for the preparation of smooth nanofibers with controllable morphology from a variety of polymers [25]. Meanwhile, theories like thermo-electro-hydrodynamic model [6] were built to support this technology. Li [7] and Liu [8] fabricated fibers containing Cu and Fe 2 O 3 via bubble electrospinning.…”
Section: Introductionmentioning
confidence: 99%
“…Electrospinning was rapidly emerging as a simple and reliable technique for the preparation of smooth nanofibers with controllable morphology from a variety of polymers [25]. Meanwhile, theories like thermo-electro-hydrodynamic model [6] were built to support this technology. Li [7] and Liu [8] fabricated fibers containing Cu and Fe 2 O 3 via bubble electrospinning.…”
Section: Introductionmentioning
confidence: 99%
“…It is affected by the thermal property of interior linings, ventilation, the volume of enclosures, the height of soffit, and the chemistry of the hot gas layer. The phenomenon of flashover has been extensively studied . A great number of definitions to flashover have been developed based on experimental studies.…”
Section: Introductionmentioning
confidence: 99%
“…With similar model inputs, Hansen and Hovde developed a model to discriminate which category a material belongs to [3]. These models are simple but practical and widely applied for material assessment [10][11][12][13]. However, none of these models has a high level of precision for classifying materials for all the four categories.…”
Section: Introductionmentioning
confidence: 99%