Estimation of pyrolysis model parameters for solid materials using thermogravimetric data

Matala, Anna; Hostikka, Simo; Mangs, Johan

doi:10.3801/iafss.fss.9-1213

Cited by 43 publications

(37 citation statements)

References 4 publications

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“…Both kinetic and thermal parameters were estimated using a genetic algorithm minimizing the error between the experimental and simulated data [13]. The kinetic coefficients were estimated from thermogravimetric (TGA) experiments in an N 2 atmosphere at several heating rates.…”

Section: Materials Model For Birch Woodmentioning

confidence: 99%

Experiments and Numerical Simulations of Vertical Flame Spread on Charring Materials at Different Ambient Temperatures

Mangs¹,

Hostikka²

2011

Fire Safety Science - Proceedings of the 10th International Sym

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A new experimental apparatus for measuring flame spread rates at different ambient temperatures is presented. The 2 m long sample is pre-heated with air to the desired temperature, ignited from below with a small propane burner, and flame spread is monitored with thermocouples at the surface of the sample. The rate of vertical concurrent flame spread as a function of ambient temperature is determined on cylindrical Birch rod samples and on polyvinylchloride cable samples. Corresponding flame spread scenarios are numerically simulated using an axi-symmetric solution of the flow field and a pyrolysis model with parameters estimated from thermogravimetric and cone calorimeter experiments. The simulation model was able to predict the flame spread rates within the uncertainties associated with the experiments and postsimulation analysis of the spread rate.

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Section: Materials Model For Birch Woodmentioning

confidence: 99%

Experiments and Numerical Simulations of Vertical Flame Spread on Charring Materials at Different Ambient Temperatures

Mangs¹,

Hostikka²

2011

Fire Safety Science - Proceedings of the 10th International Sym

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“…The GA parameters in this work are the same as used in Ref. [6] except for the mutation rate that was set to 0.25.…”

Section: Model Parametersmentioning

confidence: 99%

“…This method, utilizing e.g. genetic algorithm (GA) as an optimization method, has been used in many of the recent works [4][5][6][7]. Genetic algorithms are based on the idea of survival of the fittest.…”

Section: Model Parametersmentioning

confidence: 99%

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Pyrolysis Modelling of PVC Cable Materials

Matala¹,

Hostikka²

2011

Fire Safety Science - Proceedings of the 10th International Sym

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One of the most commonly used materials in electrical cables is flexible PVC. In this work, the effects of the modelling decisions and parameter estimation methods on the pyrolysis modelling of two PVC cables were studied. The kinetic and thermal parameters were estimated from TGA and cone calorimeter experiments. The role of the plasticizers was shown to be important for the early HRR. The effects of the reaction path and reaction order were only minor in the TGA results but significant effects were found in the cone calorimeter results, unless a specific set of thermal parameters was estimated. The results show that the thermal parameters estimated for one kinetic model should not be used for another, unless the kinetic models only differ in fuel yields or different pairs of kinetic coefficients with same reaction order.

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“…The heats of reaction, Δh r were found to be endothermic and are tabulated in Table 1. Matala et al in references [11] and [12] investigated the decomposition in nitrogen of birch, oak, pine, PVC, PMMA, graphite and various wood components such as cellulose, lignin and xylan. The authors reported that endothermic heat flow was obtained during the decomposition and the heat of reaction for cellulose and birch was 482 and 230 J/g respectively.…”

Section: First Reactionmentioning

confidence: 99%

Sensitivity of Heat of Reaction for Polyurethane Foams

Pau¹,

Fleischmann²,

Spearpoint³

et al. 2014

Fire Saf. Sci.

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The heat of reaction for the decomposition of polyurethane foam and its melt are determined from the heat flow measurements obtained through simultaneous differential scanning calorimetry and thermogravimetric analysis. Under nitrogen environment, the decomposition of foam experiences two endothermic pyrolysis reactions based on the experimental results. Through the investigation on the sensitivity of heat of reaction to heating rate and sample mass, a region where the heat of reaction remains constant is found for the melt samples tested. This consistent region includes heating rate from 5 to 20 °C/min and sample mass between ~20 and ~50 mg. No consistent region is found for the foam samples because of the reduced accuracy in the heat flow measured. For the foams and melts tested, the consistent heat of reaction for the second reaction ranges from endothermic 164 -295 J/g while the recommended heat of reaction for the first reaction ranges from endothermic 610 -1023 J/g.

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Estimation of pyrolysis model parameters for solid materials using thermogravimetric data

Cited by 43 publications

References 4 publications

Experiments and Numerical Simulations of Vertical Flame Spread on Charring Materials at Different Ambient Temperatures

Experiments and Numerical Simulations of Vertical Flame Spread on Charring Materials at Different Ambient Temperatures

Pyrolysis Modelling of PVC Cable Materials

Sensitivity of Heat of Reaction for Polyurethane Foams

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