A transient pyrolysis model based on the B-number for gravity-assisted flame spread over thick PMMA slabs

2009 ◽  
Vol 156 (9) ◽  
pp. 1856-1859 ◽  
Author(s):  
Y. Pizzo ◽  
J.L. Consalvi ◽  
B. Porterie
Keyword(s):  
Flame Spread ◽  
Model Based ◽  
Pyrolysis Model

Kerogen pyrolysis model based on its chemical structure for predicting product evolution

Fuel ◽  
2019 ◽  
Vol 246 ◽  
pp. 149-159 ◽  
Author(s):  
Yulong You ◽  
Xiaoye Wang ◽  
Xiangxin Han ◽  
Xiumin Jiang
Keyword(s):  
Chemical Structure ◽  
Model Based ◽  
Product Evolution ◽  
Pyrolysis Model ◽  
Kerogen Pyrolysis

scholarly journals A Comparison of Flame Spread Characteristics over Solids in Concurrent Flow Using Two Different Pyrolysis Models

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Ya-Ting Tseng ◽  
James S. T'ien
Keyword(s):  
Flame Spread ◽  
Flame Structure ◽  
Flame Length ◽  
Spread Rate ◽  
Constant Length ◽  
Concurrent Flow ◽  
First Order ◽  
Spread Model ◽  
Pyrolysis Model ◽  
Order Surface

Two solid pyrolysis models are employed in a concurrent-flow flame spread model to compare the flame structure and spreading characteristics. The first is a zeroth-order surface pyrolysis, and the second is a first-order in-depth pyrolysis. Comparisons are made for samples when the spread rate reaches a steady value and the flame reaches a constant length. The computed results show (1) the mass burning rate distributions at the solid surface are qualitatively different near the flame (pyrolysis base region), (2) the first-order pyrolysis model shows that the propagating flame leaves unburnt solid fuel, and (3) the flame length and spread rate dependence on sample thickness are different for the two cases.

Application of the thermal pyrolysis model to predict flame spread over continuous and discrete fire load

2019 ◽  
Vol 108 ◽  
pp. 102825
Author(s):  
Ekaterina Markus ◽  
Alexander Snegirev ◽  
Egor Kuznetsov ◽  
Leonid Tanklevskiy
Keyword(s):  
Flame Spread ◽  
Fire Load ◽  
Thermal Pyrolysis ◽  
Pyrolysis Model

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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