Abstract
The present paper describes an optimization work to obtain the properties related to a pyrolysis process in the solid material such as density, specific heat, conductivity of virgin and char, heat of pyrolysis and kinetic parameters used for deciding pyrolysis rate. A repulsive particle swarm optimization algorithm is used to obtain the pyrolysis-related properties. In the previous study all properties obtained only using a cone calorimeter but in this paper both the cone calorimeter and thermo gravimetric analysis (TGA) are used for precisely optimizing the pyrolysis properties. In the TGA test a very small mass is heated up and conduction and heat capacity in the specimen is negligible so kinetic parameters can first be optimized. Other pyrolysis-related properties such as virgin/char specific heat and conductivity and char density are also optimized in the cone calorimeter test with the already decided parameters in the TGA test.
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Abbreviations
- E :
-
activation energy (kJ/mol)
- m :
-
mass (g)
- n :
-
reaction order
- N i :
-
number of data compared at test data set i
- r :
-
random number
- R :
-
gas component (= 8.3144×10−3 kJ/molK )
- y m :
-
location of the particle m
- z :
-
depth of specimen
- Z :
-
pre-exponential factor (1/s)
- α :
-
conversion
- β :
-
heating rate(°C/min)
- λ, μ, ν :
-
λ, μ, ν-virgin
- ϕ :
-
physical quantity in fitness function
- Φ:
-
number of test data sets
- Θ(T):
-
temperature-dependent function
- Δ:
-
finite
- max:
-
maximum value
- min:
-
minimum value
- exp:
-
experimental measurement data
- try:
-
obtained by optimized properties
- 0:
-
initial
- ∞:
-
final
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Park, WH., Yoon, KB. Optimization of pyrolysis properties using TGA and cone calorimeter test. J. Therm. Sci. 22, 168–173 (2013). https://doi.org/10.1007/s11630-013-0608-z
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DOI: https://doi.org/10.1007/s11630-013-0608-z