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.

摘要

纸纤维网络的建模是必要和有意义的.本文提出了一种基于纤维网络形态的木纸建模和杨氏模量计算方法.采用不同工艺参数制备了16组桉木浆纸.对样品进行扫描电镜图像采集，利用数字图像处理（DIP）技术建立纤维网络的结构模型.提出了一种重构算法，主要包括“骨架”提取和简化.建立了二维线体纤维模型，并将其作为服务器模型，在此基础上模拟了ABAQUS的拉伸行为.在进行拉伸试验的同时，计算了纸张的杨氏模量。用假设公式计算了制备的纸页的孔隙率，并用扫描电镜图像进行了计数，用介质饱和法进行了测定.通过模型图像转换得到结构模型的孔隙率。评价了重建模型与扫描电镜图像形态的一致性.纸页与模型性能的比较主要集中在气孔率、杨氏模量及其与造纸工艺参数的关系上.在模拟和实验结果一致的前提下，分析了工艺参数对纸的孔隙率和弹性模量的影响规律.

KEYWORDS:

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

关键词:

• 纸页
• 纤维网
• 数字图像处理
• 图像重建建模

Acknowledgments

The authors gratefully acknowledge the financial support from the Natural Science Foundation of Guangdong Province (Major), China (No.2016A030311052) and the third batch of introduced innovative research team of Dongguan, Guangdong Province, China (NO. 2017360004004)

Data access statement

The data that support the findings of this study are available from the corresponding author, [WY L], upon reasonable request.

Additional information

Funding

This work was supported by the Natural Science Foundation of Guangdong Province (Major), Chinat [2016A030311052] and third batch of introduced innovative research team of Dongguan, Guangdong Province, China [No. 2017360004004]

Notes on contributors

Wangyu Liu

Wangyu Liu, Proffessor of South China University of Technology, majored in PEGDA/cellulose Stereolithography gel for tissue engineering, cellulose-based lithium-ion batteries separator and bionic design for plant-inspired vapor chamber.

Weigui Xie

Weigui Xie, Ph D student in South China University of Technology, majored in preparation and multi-scale study on cellulose-based lithium-ion batteries separator.

Yanping Dang

Yanping Dang, master student in South China University of Technology, majored in improving wet strength of cellulose-based lithium-ion batteries separator.

Changyuan Yan

Changyuan Yan, master student of State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, majored in investigating and regulating pore structure of cellulose-based membranes.

Aimin Tang

Aimin Tang, Associate Proffessor of State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, majored in TEMPO-oxidized cellulose nanofibers application and old paper improving.