PMID- 32806770
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200928
IS  - 2073-4360 (Electronic)
IS  - 2073-4360 (Linking)
VI  - 12
IP  - 8
DP  - 2020 Aug 12
TI  - Application of Artificial Neural Networks to Predict the Catalytic Pyrolysis of 
      HDPE Using Non-Isothermal TGA Data.
LID - 10.3390/polym12081813 [doi]
LID - 1813
AB  - This paper presents a comprehensive kinetic study of the catalytic pyrolysis of 
      high-density polyethylene (HDPE) utilizing thermogravimetric analysis (TGA) data. 
      Nine runs with different catalyst (HZSM-5) to polymer mass ratios (0.5, 0.77, and 
      1.0) were performed at different heating rates (5, 10, and 15 K/min) under 
      nitrogen over the temperature range 303-973 K. Thermograms showed clearly that 
      there was only one main reaction region for the catalytic cracking of HDPE. In 
      addition, while thermogravimetric analysis (TGA) data were shifted towards higher 
      temperatures as the heating rate increased, they were shifted towards lower 
      temperatures and polymer started to degrade at lower temperatures when the 
      catalyst was used. Furthermore, the activation energy of the catalytic pyrolysis 
      of HDPE was obtained using three isoconversional (model-free) models and two 
      non-isoconversional (model-fitting) models. Moreover, a set of 900 input-output 
      experimental TGA data has been predicted by a highly efficient developed 
      artificial neural network (ANN) model. Results showed a very good agreement 
      between the ANN-predicted and experimental values (R(2) > 0.999). Besides, A 
      highly-efficient performance of the developed model has been reported for new 
      input data as well.
FAU - Al-Yaari, Mohammed
AU  - Al-Yaari M
AUID- ORCID: 0000-0002-2717-8736
AD  - Department of Chemical Engineering, King Faisal University, P.O. Box: 380, 
      Al-Ahsa 31982, Saudi Arabia.
FAU - Dubdub, Ibrahim
AU  - Dubdub I
AD  - Department of Chemical Engineering, King Faisal University, P.O. Box: 380, 
      Al-Ahsa 31982, Saudi Arabia.
LA  - eng
GR  - 17122013/Deanship of Scientific Research, King Faisal University/
PT  - Journal Article
DEP - 20200812
PL  - Switzerland
TA  - Polymers (Basel)
JT  - Polymers
JID - 101545357
PMC - PMC7466036
OTO - NOTNLM
OT  - activation energy
OT  - artificial neural network (ANN)
OT  - catalytic pyrolysis
OT  - high-density polyethylene (HDPE)
OT  - thermogravimetric analysis (TGA)
COIS- The authors declare no conflict of interest.
EDAT- 2020/08/19 06:00
MHDA- 2020/08/19 06:01
PMCR- 2020/08/12
CRDT- 2020/08/19 06:00
PHST- 2020/05/04 00:00 [received]
PHST- 2020/08/08 00:00 [revised]
PHST- 2020/08/10 00:00 [accepted]
PHST- 2020/08/19 06:00 [entrez]
PHST- 2020/08/19 06:00 [pubmed]
PHST- 2020/08/19 06:01 [medline]
PHST- 2020/08/12 00:00 [pmc-release]
AID - polym12081813 [pii]
AID - polymers-12-01813 [pii]
AID - 10.3390/polym12081813 [doi]
PST - epublish
SO  - Polymers (Basel). 2020 Aug 12;12(8):1813. doi: 10.3390/polym12081813.