Coding a Simulation Model of the 3D Structure of Paper

Conceição, Eduardo L. T.; Curto, Joana M. R.; Simões, Rogério; Portugal, António

doi:10.1007/978-3-642-12712-0_27

Cited by 16 publications

(18 citation statements)

References 4 publications

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“…A 3D simulator of fibrous materials (Conceição et al 2010;Curto et al 2011) was used to simulate the 3D structures with the fiber dimensions obtained experimentally. This simulator, named voxelfiber, is open source software, and the code is available on GitHub (https://github.com/eduardotrincaoconceicao/voxelfiber).…”

Section: Methodsmentioning

confidence: 99%

“…The key property of fiber flexibility is implemented through the mechanism originally proposed for the KCL-PAKKA simulator, by Niskanen and Alava (1994). A more detailed description of the 3D simulator can be found in Conceição et al (2010) and Curto et al (2011). An approach of different 3D fiber models, with different dimensions of fiber wall thickness and lumen, was also performed.…”

Section: Methodsmentioning

confidence: 99%

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3D fiber models to simulate and optimize tissue materials

Morais

Carta

Amaral

et al. 2020

BioRes

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Tissue materials development using 3D computational tools to predict the influence of the combination of different fibers can be employed in the design of innovative tissue products and furnish optimization. Fibrous materials can be designed using different 3D fiber models for each type of fibers, detailed to the point where the wall fiber thickness, fiber lumen, and collapse degree are considered and presented in this work. Eucalyptus, Pinus, and Picea kraft cellulose pulp fibers were selected because they are representative of differentiated fiber types. The fiber morphological measurements were obtained using two methods: one uses the fibers in suspension, without restraints, and the other uses a capillary fiber alignment. The results indicate good repeatability for both methods but differences of 14% for fiber length weighted in length, 2% for fiber width, 11% for coarseness, 35% for curl, and 88% for fines content. Scanning electron microscopy images were used to identify the fiber dimensions inside the tissue structure. Four different types of fiber models for eucalyptus fibers, with different fiber wall thickness and lumen dimensions, were presented and used to predict 3D computational fibrous structures.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

3D fiber models to simulate and optimize tissue materials

Morais

Carta

Amaral

et al. 2020

BioRes

Self Cite

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“…In the present study, fiber intersections are favored in contrast to the literature studies mainly focusing on short fiber reinforcements and elimination of fiber collision [20,[26][27][28]. Foundation of the present study follows daily practices such as long fiber reinforced composite materials, paper and paperboards.…”

Section: Geometrical and Spatial Propertiesmentioning

confidence: 97%

Geometrical and spatial effects on fiber network connectivity

Karakoç

Hiltunen

Paltakari

2017

Composite Structures

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For fibrous materials such as nonwoven fabrics, paper and paperboards, inter-fiber bonds play a critical role by holding fibers, thus providing internal cohesion. Being a physical phenomenon, inter-fiber bonds occur at every fiber crossing and can be also geometrically detected. In relation to the idea, a statistical geometrical model was developed to investigate the effects of fiber geometry, (i.e. length and cross-sectional properties), spatial distribution, (i.e. location and orientation), and specimen size on fiber network connectivity, which refers to inter-fiber bonds at fiber crossings. In order to generate the fiber network, a geometrical fiber deposition technique was coded in Mathematica technical computing software, which is based on the planar projections and intersections of fibers and provided as supplementary material to the present article. According to this technique, fiber geometries in discrete rectangular prismatic segments were generated by using uniform distributions of the geometrical and spatial parameters and projected onto the transverse plane. Then, projected geometries were trimmed within the transverse boundaries of the specified specimen shape, rectangular prism in this particular study. After this step, fiber crossings were determined through a search algorithm, which was also used as the basis for the fiber spatial regeneration. Thereafter, fibers were accumulated on top of each other by taking fiber crossings into account and eventually fiber networks based on selected properties were formed. By means of the proposed technique, a series of simulation experiments were conducted on paper fiber networks to investigate the correlation between the fiber network connectivity and fiber length, cross-sectional properties, orientation and specimen length, width and thickness.

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“…1 [13,14]. The space is discretized into a Cartesian uniform grid of cells so that each fibre in the model is represented by a sequence of cells.…”

Section: Fibre Modelingmentioning

confidence: 99%

Three dimensional modelling of fibrous materials and experimental validation

Curto¹,

Conceição

Portugal

et al. 2011

Materialwissenschaft Werkst

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1This article presents a computational model and some simulation results for fibrous materials such as paper. To obtain a better understanding of the influence of fibre properties on the paper structure a novel paper model was developed. This is a physically based model where paper is formed by the sequential deposition of individual fibres. The model intends to capture key papermaking fibre properties like morphology, flexibility, and collapse and process operations such as fibre deposition, network forming or densification. This model is a step forward in transverse paper modelling. In fact, it is a three dimensional model that includes the fibre microstructure, that is, lumen and fibre wall thickness, with a resolution up to 0.05 lm. To test the model validity and predictive capability, laboratory hand sheets were used to study the network formation of an office paper, mainly produced from Eucalyptus globulus bleached Kraft pulp. This paper was characterized via an experimental design that included factors such as raw material and beating degree. The resulting porous structure was characterized and the mechanical performance was assessed. The computational simulation was used to investigate the relative influence of fibre properties such as fibre flexibility, dimensions and collapsibility. The developed multiscale model gave realistic predictions and enabled us to link fibre microstructure and paper properties.Keywords: Three dimension modelling / fibre modelling / cellulosic fibre materials modelling / fibre flexibility and collapsibility / office paper case study / Schlüsselwörter: Dreidimensionale Modellierung / Fasermodellierung / Modellierung zelluloser Fasermaterialien / Flexibilität und Kollabierneigung der Fasern / Untersuchung von Büropapier /

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Coding a Simulation Model of the 3D Structure of Paper

Cited by 16 publications

References 4 publications

3D fiber models to simulate and optimize tissue materials

3D fiber models to simulate and optimize tissue materials

Geometrical and spatial effects on fiber network connectivity

Three dimensional modelling of fibrous materials and experimental validation

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