2023
DOI: 10.1016/j.jaap.2023.105984
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Microwave-assisted In-situ catalytic co-pyrolysis of polypropylene and polystyrene mixtures: Response surface methodology analysis using machine learning

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Cited by 14 publications
(2 citation statements)
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“…Suriapparao et al [65] conducted the MAP of rice husk and plastic, and reported that the highest efficiency of the microwave co-pyrolysis process could reach 68%. In the MAP study of PP by Kamireddi et al [114], the microwave conversion efficiency calculated by experiments reached 84.7%, and the pyrolysis oil with a calorific value of 45.4 MJ/kg was obtained. In the study of MAP of HDPE, Zhou et al [99] calculated the energy balance and found that the energy efficiency of pyrolysis of HDPE can reach 89.6%, better than that of traditional pyrolysis.…”
Section: Energy Consumption Of Map Of Plasticsmentioning
confidence: 97%
“…Suriapparao et al [65] conducted the MAP of rice husk and plastic, and reported that the highest efficiency of the microwave co-pyrolysis process could reach 68%. In the MAP study of PP by Kamireddi et al [114], the microwave conversion efficiency calculated by experiments reached 84.7%, and the pyrolysis oil with a calorific value of 45.4 MJ/kg was obtained. In the study of MAP of HDPE, Zhou et al [99] calculated the energy balance and found that the energy efficiency of pyrolysis of HDPE can reach 89.6%, better than that of traditional pyrolysis.…”
Section: Energy Consumption Of Map Of Plasticsmentioning
confidence: 97%
“…Kamireddi et al performed 13 microwave-assisted catalytic co-pyrolysis experiments of PP and polystyrene (PS) mixtures and used machine learning to estimate the impact of the PP and PS quantity on the oil yield, gas yield and pyrolysis time. 22 Wu et al conducted injection molding of isotactic polypropylene into 27 specimens, collecting data on the polymorphic structure and mechanical properties to develop four machine learning models. 23 The XGB model has the highest prediction accuracy for polymorphic form contents and mechanical properties based on the various processing parameters.…”
Section: Introductionmentioning
confidence: 99%