Abstract:

In this paper, multiple nonlinear regression was used to analyze the relativities of pulping yield and chemical composition, tensile index and tearing index and fiber morphology. The prediction model of pulping properties of fast-growing woods has been established. Chemical composition and pulping properties of three representative fast-growing woods have been studied to verify forecasting models. The result shows that the forecasting value fitting well with the actual value, and the prediction models are feasible.

Key words: fast-growing wood, pulping properties, multiple nonlinear regression