Flame Retardancy of wood treated with GUP by Cone Calorimetry

Gao, Ming; Xu, Yixin

doi:10.2991/icmit-16.2016.90

Cited by 3 publications

(3 citation statements)

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“…The ration of HRR to the rate of temperature rise of the sample during the test is used to estimate the HRC value of polymers [11] . THR means how much heat the polymer or material releases during the fire; generally, it should be low for fire retardant polymers [12] . The percentage of char residue implies the formation of a protective shield around or on the surface of polymer and heat source, which protect the polymer material from further burning and dripping [12] …”

Section: Introductionmentioning

confidence: 99%

“…[11] THR means how much heat the polymer or material releases during the fire; generally, it should be low for fire retardant polymers. [12] The percentage of char residue implies the formation of a protective shield around or on the surface of polymer and heat source, which protect the polymer material from further burning and dripping. [12] There are several ways to enhance the fire retardant property of polymers such as chemical modification, copolymerization [13,14] and incorporation of inert material or additive fillers into the chemical structure.…”

Section: Introductionmentioning

confidence: 99%

“…[12] The percentage of char residue implies the formation of a protective shield around or on the surface of polymer and heat source, which protect the polymer material from further burning and dripping. [12] There are several ways to enhance the fire retardant property of polymers such as chemical modification, copolymerization [13,14] and incorporation of inert material or additive fillers into the chemical structure. [15] However, determination of flame retardant property of each polymer is challenging as well as time-consuming, and identification of a suitable additive for a particular polymer to improve the flame retardancy is also tricky while a trial and error approach is expensive.…”

Section: Introductionmentioning

confidence: 99%

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Chemometric Modelling of Heat Release Capacity, Total Heat Release and Char Formation of Polymers to Assess Their Flammability Characteristics

Khan

Roy

2020

Molecular Informatics

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The quantitative structure‐property relationship (QSPR) approach has widely been used to predict several physicochemical properties of materials employing the information obtained from their chemical structures (numerical descriptors). In the present work, we have generated three individual QSPR models for three different endpoints for a large number of polymers in order to determine their fire retardant property such as heat release capacity, total heat release, and %Char, using the only two‐dimensional descriptors with definite physicochemical meaning. Relevant subsets of descriptors were selected employing a genetic algorithm approach; subsequently, the selected descriptors were utilised for the identification of the best combination of the variables for the model generation, while the final models were developed employing the partial least squares (PLS) regression algorithm. The generated models were rigorously validated using various internationally accepted internal and external validation metrics. All the models showed promising statistical quality in terms of determination coefficient R2 (0.802, 0.842 and 0.826), cross‐validated leave‐one‐out Q2 (0.759, 0.810 and 0.752) and predictive R2pred or Q2ext (0.810, 0.900 and 0.847) for HRC (nTraining=62, nTest=28), THR (nTraining=64, nTest=21) and %char (nTraining=49, nTest=21) datasets, respectively. All the certified models were used for prediction of flammability characteristics of 37 external set compounds, and further, the quality of prediction was determined by using the PRI software tool. The final models of HRC, THR and %Char formation of polymers may be useful to predict the flammability characteristics of polymers quickly before their synthesis and used as a better alternative approach to the experimental testing of flammability of polymers.

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Section: Introductionmentioning

confidence: 99%