Experimental investigation and numerical modeling of oxidative pyrolysis mechanism of mining PVC cable sheath

Jinlong Zhao, Hanchao Ma, Hong Huang, Jianping Zhang, Youliang Chen

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Abstract

Cables modified with flame retardants are widely used in the coal mining process to enhance their fire safety performance. This paper investigates experimentally and numerically the thermo-oxidative degradation process of PVC-based mining cable sheath, which consists of PVC resin and plasticizers (Phthalate esters), fillers (Calcium carbonate), and flame retardant (Antimony trioxide) as additives. Thermogravimetry coupled with Fourier transform infrared spectroscopy (TG-FTIR) experiments were performed at different heating rates in an air atmosphere. TG results showed that the decomposition processes of mining PVC cable sheath are more complicated than those of pure PVC with additional degradation steps, which was further confirmed by FTIR gas analysis. A deconvolution method was used to distinguish the independent reactions from the overlapped derivative thermogravimetric (DTG) peaks. It was found that the whole degradation process can be divided into seven steps, based on which an oxidative pyrolysis model was developed: pyrolysis of plasticizers (steps 1 and 2), dehydrogenation (step 3), emission and combustion of volatile fraction (step 4), carbon combustion (step 5), oxidative pyrolysis of complicated additives (step 6), and decomposition of residues (step 7). The kinetic triplets (activation energy, pre-exponential factor, and reaction model function) for each reaction were firstly calculated using three commonly used model-free methods and then further optimized using the genetic algorithm (GA). Based on the optimized parameters, the reaction mechanisms and their associated kinetic parameters were determined. The findings of this study are important in understanding the oxidative pyrolysis process of PVC cable sheath, and the obtained kinetic parameters can also be used for its pyrolysis and fire modeling, waste recycling, and risk assessment.

Original languageEnglish
JournalJournal of Thermal Analysis and Calorimetry
Early online date4 Nov 2022
DOIs
Publication statusPublished online - 4 Nov 2022

Bibliographical note

Funding Information:
This study was sponsored by the National Key R&D Program of China (2021YFB3201900), National Natural Science Foundation of China (No. 51906253 and No. 72091512), the Fundamental Research Funds for the Central Universities (No. 2021JCCXAQ01), Key Laboratory of Emergency Management Department of Fire Emergency Rescue Equipment (2019XFZB16)

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • PVC cable sheath
  • Oxidative pyrolysis
  • Reaction kinetics
  • Deconvolution
  • generative algorithm
  • TG-FTIR
  • Deconvolution, generative algorithm

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