Optimization of Pyrolysis Properties using TGA and Cone Calorimeter Test

• Published in: Journal of thermal science 2013-04, Vol.22 (2), p.168-173
• Main Authors: Park, Won-Hee, Yoon, Kyung-Beom
• Format: Article
• Language: English
• Subjects: Classical and Continuum Physics; Engineering Fluid Dynamics; Engineering Thermodynamics; Heat and Mass Transfer; Physics; Physics and Astronomy; TGA; 优化使用; 动力学参数; 测试参数; 热解特性; 相关属性; 粒子群优化算法; 锥形量热仪
• ISSN: 1003-2169; 1993-033X
• DOI: 10.1007/s11630-013-0608-z

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 parame- ters used for deciding pyrolysis rate. A repulsive particle swarm optimization algorithm is used to obtain the py- rolysis-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 py- rolysis properties. In the TGA test a very small mass is heated up and conduction and heat capacity in the speci- men is negligible so kinetic parameters can first be optimized. Other pyrolysis-related properties such as vir- gin/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.