Research on Main Performance and Impact Factor of Flakeboard through the Method of Partial Least Square Regression
In this research, the wood residues of mixed birch and larix gmelini rupr are used as the bulk material, and phenolic resin glue and moso bamboo slice as reinforcing material to make flakeboard through three-phase pressure process. Data Processing System (DPS) is used to analyze glue volume, density and other technical parameters’ impact on the performance of wood composite product, establish multiple linear regressive mathematic models, compare and optimize experiment plan, find out and verify the best technical conditions. The result shows that the overall objective function will reach 6.908 when glue volume is 8.107%, density 0.870 g/cm3, thickness 2.015cm and moisture content of 9.799%.
L. Zhao and S. L. Xiao, "Research on Main Performance and Impact Factor of Flakeboard through the Method of Partial Least Square Regression", Advanced Materials Research, Vols. 217-218, pp. 510-515, 2011