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Study On Prediction Of Properties Of Wood Plastic Composites

Posted on:2020-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:B ChenFull Text:PDF
GTID:2381330602461712Subject:Pharmacy
Abstract/Summary:PDF Full Text Request
In order to improve the economy of the biological fermentation process,the wood-plastic composite material was prepared from the solid waste produced in the biomass fermentation process,and its properties were tested and evaluated.The pyrolysis characteristics and thermal kinetics of wood-plastic composites were studied.Finally,the prediction model of material properties is established.Firstly,wood-plastic composites were prepared from the waste of biorefinery process and their properties were evaluated.The results showed that the composites prepared from xylose-extracted residue had the highest flexural strength and tensile strength,and the composites prepared from ethanol processing residue had better thermal stability.Therefore,the wood-plastic composites prepared from ethanol processing residue were superior.The mechanical properties of wood-plastic composites prepared from solid residues of different generation bioethanol plants were compared,the results show that the material prepared from corn cob distiller residue have the best performance.Then the pyrolysis characteristics and kinetics of different tissues of corn straw were studied.The results showed that corn fiber and HDPE had inhibitory effect during the co-pyrolysis,and the pyrolysis activation energy of corn cob fiber/HDPE mixture was the lowest.The pyrolysis results of WPC showed that the presence of corn fiber in WPC enhanced the thermal stability of HDPE,and the activation energy of WPC was higher than that of corn fiber/HDPE mixture.In the end,Ridge regression,Lasso,Multi-layer perceptron and Elastic network are used to establish the prediction model of wood-plastic composites.The results show that the four models can well predict the mechanical properties of wood-plastic composites,and the prediction accuracy of the Multi-layer perceptron model is the highest,reaching over 90%.
Keywords/Search Tags:wood-plastic composites, pyrolysis characteristics, kinetics, prediction model
PDF Full Text Request
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