Literature DB >> 30388638

An experimental and theoretical study of optimized selection and model reconstruction for ammonium nitrate pyrolysis.

Hui-Qi Cao1, Lin Jiang2, Qiang-Ling Duan1, Dan Zhang1, Hao-Dong Chen1, Jin-Hua Sun3.   

Abstract

Ammonium nitrate (AN) is a commonly-used industrial raw material in industrial explosives and fertilizers areas. However, as an energetic material, its danger exists during the production, transportation, and storage, resulting in a large number of accidents involving personal injury and property loss. To obtain the accurate kinetic triplet parameters of AN thermal decomposition, a series of thermogravimetry analysis (TGA) experiments was conducted with four different heating rates. Activation energies were calculated by different isoconversional methods Then the kinetic triplet of AN pyrolysis was optimized using a combination of experimental and simulant methods. Combined with the traditional model-free and model-fitting approaches, the experimental kinetic model for AN pyrolysis was optimized and then reconstructed. Through the pyrolysis reaction of AN, a reliable methodology for processing TGA data of hazardous material is proposed in the paper, and the kinetic parameters can be accurately obtained by using such a kinetics method.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ammonium nitrate; Kinetic triplet; Model reconstruction; Model-fitting; Model-free

Year:  2018        PMID: 30388638     DOI: 10.1016/j.jhazmat.2018.10.048

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

Review 1.  Interpol review of detection and characterization of explosives and explosives residues 2016-2019.

Authors:  Douglas J Klapec; Greg Czarnopys; Julie Pannuto
Journal:  Forensic Sci Int       Date:  2020-06-17       Impact factor: 2.395

2.  Pyrolysis Kinetic Properties of Thermal Insulation Waste Extruded Polystyrene by Multiple Thermal Analysis Methods.

Authors:  Ang Li; Wenlong Zhang; Juan Zhang; Yanming Ding; Ru Zhou
Journal:  Materials (Basel)       Date:  2020-12-08       Impact factor: 3.623

  2 in total

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