Optimization of pyrolysis properties using TGA and cone calorimeter test

초록

The present paper describes an optimization work to obtain the properties related a pyrolysis process in the solid material such as density, specific heat, conductivity, heat of pyrolysis and parameters used for deciding pyrolysis rate. A repulsive particle swarm optimization algorithm is used to obtain the pyrolysis properties. In the previous study all properties obtained only using a cone calorimeter but in this paper both the cone calorimeter and 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 obtained in the cone calorimeter test with the already decided parameters in the TGA test.