PMID- 36079292
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220913
IS  - 1996-1944 (Print)
IS  - 1996-1944 (Electronic)
IS  - 1996-1944 (Linking)
VI  - 15
IP  - 17
DP  - 2022 Aug 26
TI  - Analysis of Statistically Predicted Rate Constants for Pyrolysis of High-Density 
      Plastic Using R Software.
LID - 10.3390/ma15175910 [doi]
LID - 5910
AB  - The surge in plastic waste production has forced researchers to work on 
      practically feasible recovery processes. Pyrolysis is a promising and intriguing 
      option for the recycling of plastic waste. Developing a model that simulates the 
      pyrolysis of high-density polyethylene (HDPE) as the most common polymer is 
      important in determining the impact of operational parameters on system behavior. 
      The type and amount of primary products of pyrolysis, such as oil, gas, and 
      waxes, can be predicted statistically using a multiple linear regression model 
      (MLRM) in R software. To the best of our knowledge, the statistical estimation of 
      kinetic rate constants for pyrolysis of high-density plastic through MLRM 
      analysis using R software has never been reported in the literature. In this 
      study, the temperature-dependent rate constants were fixed experimentally at 420 
       degrees C. The rate constants with differences of 0.02, 0.03, and 0.04 from empirically 
      set values were analyzed for pyrolysis of HDPE using MLRM in R software. The 
      added variable plots, scatter plots, and 3D plots demonstrated a good correlation 
      between the dependent and predictor variables. The possible changes in the final 
      products were also analyzed by applying a second-order differential equation 
      solver (SODES) in MATLAB version R2020a. The outcomes of experimentally 
      fixed-rate constants revealed an oil yield of 73% to 74%. The oil yield increased 
      to 78% with a difference of 0.03 from the experimentally fixed rate constants, 
      but light wax, heavy wax, and carbon black decreased. The increased oil and gas 
      yield with reduced byproducts verifies the high significance of the conducted 
      statistical analysis. The statistically predicted kinetic rate constants can be 
      used to enhance the oil yield at an industrial scale.
FAU - Nabi, Rao Adeel Un
AU  - Nabi RAU
AD  - Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, 
      Pakistan.
FAU - Naz, Muhammad Yasin
AU  - Naz MY
AD  - Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, 
      Pakistan.
FAU - Shukrullah, Shazia
AU  - Shukrullah S
AD  - Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, 
      Pakistan.
FAU - Ghamkhar, Madiha
AU  - Ghamkhar M
AD  - Department of Mathematics and Statistics, University of Agriculture Faisalabad, 
      Faisalabad 38040, Pakistan.
FAU - Rehman, Najeeb Ur
AU  - Rehman NU
AD  - Department of Physics, COMSATS University Islamabad, Islamabad 45550, Pakistan.
FAU - Irfan, Muhammad
AU  - Irfan M
AUID- ORCID: 0000-0003-4161-6875
AD  - Electrical Engineering Department, College of Engineering, Najran University 
      Saudi Arabia, Najran 61441, Saudi Arabia.
FAU - Alqarni, Ali O
AU  - Alqarni AO
AD  - Department of Pharmaceutical Chemistry, College of Pharmacy, Najran University, 
      Najran 61441, Saudi Arabia.
FAU - Legutko, Stanislaw
AU  - Legutko S
AUID- ORCID: 0000-0001-8973-5035
AD  - Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 
      Poznan, Poland.
FAU - Kruszelnicka, Izabela
AU  - Kruszelnicka I
AUID- ORCID: 0000-0003-4400-2553
AD  - Faculty of Environmental Engineering and Energy, Department of Water Supply and 
      Bioeconomy, Poznan University of Technology, 60-965 Poznan, Poland.
FAU - Ginter-Kramarczyk, Dobrochna
AU  - Ginter-Kramarczyk D
AD  - Faculty of Environmental Engineering and Energy, Department of Water Supply and 
      Bioeconomy, Poznan University of Technology, 60-965 Poznan, Poland.
FAU - Ochowiak, Marek
AU  - Ochowiak M
AD  - Department of Chemical Engineering and Equipment, Poznan University of 
      Technology, 60-965 Poznan, Poland.
FAU - Wlodarczak, Sylwia
AU  - Wlodarczak S
AUID- ORCID: 0000-0003-0561-0177
AD  - Department of Chemical Engineering and Equipment, Poznan University of 
      Technology, 60-965 Poznan, Poland.
FAU - Krupinska, Andzelika
AU  - Krupinska A
AUID- ORCID: 0000-0002-1485-9794
AD  - Department of Chemical Engineering and Equipment, Poznan University of 
      Technology, 60-965 Poznan, Poland.
FAU - Matuszak, Magdalena
AU  - Matuszak M
AD  - Department of Chemical Engineering and Equipment, Poznan University of 
      Technology, 60-965 Poznan, Poland.
LA  - eng
GR  - NU/RC/MRC/11/1/Najran University/
PT  - Journal Article
DEP - 20220826
PL  - Switzerland
TA  - Materials (Basel)
JT  - Materials (Basel, Switzerland)
JID - 101555929
PMC - PMC9457231
OTO - NOTNLM
OT  - R software
OT  - high-density polyethylene
OT  - numerical analysis
OT  - pyrolysis of waste
OT  - rate constant
COIS- Authors declare no conflict of interest regarding the publication of this work.
EDAT- 2022/09/10 06:00
MHDA- 2022/09/10 06:01
PMCR- 2022/08/26
CRDT- 2022/09/09 01:21
PHST- 2022/07/16 00:00 [received]
PHST- 2022/08/18 00:00 [revised]
PHST- 2022/08/24 00:00 [accepted]
PHST- 2022/09/09 01:21 [entrez]
PHST- 2022/09/10 06:00 [pubmed]
PHST- 2022/09/10 06:01 [medline]
PHST- 2022/08/26 00:00 [pmc-release]
AID - ma15175910 [pii]
AID - materials-15-05910 [pii]
AID - 10.3390/ma15175910 [doi]
PST - epublish
SO  - Materials (Basel). 2022 Aug 26;15(17):5910. doi: 10.3390/ma15175910.