Consistent modelling of material weight loss and gas release due to pyrolysis and conducting benchmark tests of the model-A case for glovebox panel materials such as polymethyl methacrylate.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 19 10 2020
accepted: 25 12 2020
entrez: 28 1 2021
pubmed: 29 1 2021
medline: 15 5 2021
Statut: epublish

Résumé

It is necessary to consider how a glove box's confinement function will be lost when evaluating the amount of radioactive material leaking from a nuclear facility during a fire. In this study, we build a model that consistently explains the weight loss of glove box materials because of heat input from a flame and accompanying generation of the pyrolysis gas. The weight loss suggests thinning of the glove box housing, and the generation of pyrolysis gas suggests the possibility of fire spreading. The target was polymethyl methacrylate (PMMA), used as the glove box panel. Thermal gravimetric tests on PMMA determined the parameters to be substituted in the Arrhenius equation for predicting the weight loss in pyrolysis. The pyrolysis process of PMMA was divided into 3 stages with activation energies of 62 kJ/mol, 250 kJ/mol, and 265 kJ/mol. Furthermore, quantifying the gas composition revealed that the composition of the pyrolysis gas released from PMMA can be approximated as 100% methyl methacrylate. This result suggests that the released amount of methyl methacrylate can be estimated by the Arrhenius equation. To investigate the validity of such estimation, a sealed vessel test was performed. In this test, we observed increase of the number of gas molecules during the pyrolysis as internal pressure change of the vessel. The number of gas molecules was similar to that estimated from the Arrhenius equation, and indicated the validity of our method. Moreover, we also performed the same tests on bisphenol-A-polycarbonate (PC) for comparison. In case of PC, the number of gas molecules obtained in the vessel test was higher than the estimated value.

Identifiants

pubmed: 33507991
doi: 10.1371/journal.pone.0245303
pii: PONE-D-20-31208
pmc: PMC7842909
doi:

Substances chimiques

Benzhydryl Compounds 0
Gases 0
Polymers 0
bisphenol-A-polycarbonate 25037-45-0
Polymethyl Methacrylate 9011-14-7

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0245303

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Waste Manag. 2004;24(8):849-57
pubmed: 15381237
Anal Bioanal Chem. 2020 Dec;412(30):8283-8298
pubmed: 33104827
Nat Commun. 2015 Jul 01;6:7473
pubmed: 26130294
Polymers (Basel). 2018 May 03;10(5):
pubmed: 30966525
J Hazard Mater. 2021 Jan 15;402:123472
pubmed: 32731115
Analyst. 2012 May 7;137(9):2250-9
pubmed: 22428152
Waste Manag. 2020 Jul 15;113:51-61
pubmed: 32505975
Waste Manag. 2018 Jan;71:181-191
pubmed: 29054503

Auteurs

Takuya Ohno (T)

Japan Atomic Energy Agency, Tokai, Japan.

Shinsuke Tashiro (S)

Japan Atomic Energy Agency, Tokai, Japan.

Yuki Amano (Y)

Japan Atomic Energy Agency, Tokai, Japan.

Naoki Yoshida (N)

Japan Atomic Energy Agency, Tokai, Japan.

Ryoichiro Yoshida (R)

Japan Atomic Energy Agency, Tokai, Japan.

Hitoshi Abe (H)

Japan Atomic Energy Agency, Tokai, Japan.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature
Semiconductors Photosynthesis Polymers Carbon Dioxide Bacteria
Humans Algorithms Software Artificial Intelligence Computer Simulation

Classifications MeSH