Image Reconstruction Modeling, Simulation and Experimental Study on Wood Fibrous Paper

Abstract

Modeling of paper fibrous network is necessary and meaningful. This paper presents a method for modeling and Young’s modulus calculation of wood paper, based on the morphology of fibrous network. Sixteen groups of eucalyptus pulp paper sheets were prepared with different processing parameters. Samples were cut for Scanning Electron Microscope (SEM) images capture, with which structural models of fibrous networks were constructed through digital image processing technology. A reconstructing algorithm is proposed in this paper, which mainly includes “skeleton” extraction and simplification. Two-dimensional line-body fibrous models were established and served as represent volume element models, based on which tensile behavior was simulated in ABAQUS. Young’s modulus of paper sheets was then calculated while tensile test was carried out. Porosity of paper sheets prepared is calculated by hypothetical formula, counted in SEM images and measured by medium saturation method. Porosity of structural models is attained through model-image conversion. Consistency of morphology between reconstructed models and SEM images is assessed. Comparison of properties between paper sheets and models majorly focuses on porosity, Young’s modulus, and their relationship with paper-making process parameters. Patterns of process parameters’ influence on paper’s porosity and elastic modulus are analyzed on the premise that results in simulation and experiments agree to each other.

Keywords

• paper-sheet
• fibrous network
• digital image processing
• image reconstruction modeling