@article{10902/21782,
year = {2019},
month = {11},
url = {http://hdl.handle.net/10902/21782},
abstract = {Thermal analysis techniques play a crucial role to characterize solid-phase thermal decomposition, since it provides information about how mass is lost (thermal gravimetric analysis) and energy released [differential scanning calorimetry (DSC)]. However, most of the input thermal parameters and kinetic properties to be used in fire computer modelling cannot be obtained directly from those tests. Early works looked forward achieving those parameters employing indirect fitting methods, which enable the user to obtain a set of parameters capable of simulating accurately the mass loss curve (TG) or its derivative (DTG). This work aims to study the possibility of adding the energy released as a new target in the process, applying the analysis to linear low-density polyethylene. Results obtained in the present work reveal the major challenge of getting a set of parameters that can also fit DSC curve. The level of accuracy of the fitting to TG curve is higher than to DSC curve. This fact increases the value of the errors when both curves are used as targets to approach. As a result, this paper includes an alternative to consider the effects of the DSC curve.},
organization = {The authors would like to thank to the Consejo de Seguridad Nuclear for the cooperation and co-financing the project ‘‘Simulation of fires in nuclear power plants’’ and to CAFESTO
Project funded by the Spanish Ministry of Science, Innovation and Universities and the Spanish State Research Agency through public–private partnerships (Retos Colaboración 2017 call, ref RTC-2017-6066-8) co-funded by ERDF under the objective ‘‘Strengthening
research, technological development and innovation’’.},
publisher = {Springer Netherlands},
publisher = {Journal of Thermal Analysis and Calorimetry, 2019, 138(4), 2703-2713},
title = {LLDPE kinetic properties estimation combining thermogravimetry and differential scanning calorimetry as optimization targets},
author = {Alonso Ipiña, Alain and Lázaro Urrutia, Mariano and Lázaro Urrutia, Pedro Gervasio and Lázaro Urrutia, David and Alvear Portilla, Manuel Daniel},
}