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Study On Processing Of Wood Plastic Composite

Posted on:2017-08-09Degree:MasterType:Thesis
Country:ChinaCandidate:Z F LuoFull Text:PDF
GTID:2311330491961128Subject:Chemical Engineering and Technology
Abstract/Summary:PDF Full Text Request
The application of lignocellulosic fiber in wood plastic composite (WPC) is widely, but the research is insufficient at present. The aim of this article is to establish the forecast model of the wood plastic composite that provides the reference to later research.First of all, the existing process of sweet sorghum wood-plastics composites is optimized for this study and the biochar and glass fiber were used to enhance the mechanical properties of WPC. The raw materials were washed to remove the residual sugar and the particle size of lignocellulosic fiber should be 80 meshes. The 3% of MA-HDPE is suitable for the preparation of WPC. The modulus was improved by 11.8% when the addition of biochar is 13.8%. The bending modulus increased by 61.6% when the amount of glass fiber content is 20%. But after comprehensive consideration, the optimal addition amount is 15%.Then, the components of the different lignocellulosic fiber were studied systematically to explore the impact on the performance of wood plastic composite. The growth time, variety and growth part of corn fiber were considered. The evaluation results show that corn stalk and corn cob have the optimal performance on the preparation of WPC. The comparison between different sources of lignocellulosic fiber showed that the WPC of corn stalk and sorghum stalk have the optimal performance. And when two lignocellulosic fibers have the similar performance, they can be used to prepare WPC collectively by distribution. The performance is the average of two kinds of raw materials.Finally, the least square method was used to analyze the degree of linear correlation between components of the lignocellulosic fiber and the mechanical properties of WPC. In the end, the forecast model of the material performance was established by using neural network successfully, and the accuracy is about the range of ±20%?30%.
Keywords/Search Tags:lignocellulosic fiber, components composition, WPC, mechanical properties, neural network
PDF Full Text Request
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