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Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

Xiaoxiao Yin, Junyu Tao, Guanyi Chen, Xilei Yao, Pengpeng Luan, Zhanjun Cheng, Ning Li, Zhongyue Zhou, Beibei Yan

2022Frontiers of Environmental Science & Engineering16 citationsDOI

Topics & Concepts

High-density polyethyleneThermogravimetric analysisPyrolysisMean squared errorMaterials scienceArtificial neural networkPolyethyleneWork (physics)Biological systemKinetic energyThermodynamicsMathematicsComposite materialComputer scienceStatisticsChemical engineeringEngineeringMachine learningPhysicsQuantum mechanicsBiologyThermochemical Biomass Conversion ProcessesThermal and Kinetic AnalysisPolymer crystallization and properties
Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks | Litcius