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**Harvard**

Andrä, H., Edelvik, F., Fredlund, M., Glatt, E., Kabel, M., Lai, R., Mark, A., Martinsson, L., Nyman, U. och Rief, S. (2011) *Micromechanical network model for the evaluation of quality controls of paper*.

** BibTeX **

@conference{

Andrä2011,

author={Andrä, Heiko and Edelvik, Fredrik and Fredlund, Mats and Glatt, Erik and Kabel, Matthias and Lai, Ron and Mark, Andreas and Martinsson, Lars and Nyman, Ulf and Rief, Stefan},

title={Micromechanical network model for the evaluation of quality controls of paper},

booktitle={Progress in Paper Physics Seminar},

isbn={978-3-85125-163-0},

pages={49-55},

abstract={In this paper, we discuss the challenges in modelling and simulating infinitesimal and large deformations of cellulose fiber networks, mainly in the context of the prediction of quality controls for paper.
Understanding the influence and sensitivity of macroscopic production parameters like grammage and thickness of paperboard and understanding the influence of the fiber suspension on the quality of paper is important for the development of better papers and for preserving raw materials and energy.
The new simulation framework consists of the virtual stochastic paper structure generator PaperGeo, that was integrated in the GeoDict 1 software suite, and the finite element solver FeelMath (Finite Elements for Elastic Materials and Homogenization) for solving the equations of elasticity. The fibers and the contacts are modelled by using geometrically exact beams of Simo-type [1].
The microstructural model and the fiber network model are validated against standard measurements of existing papers in the following way: At first we perform tensile and bending tests to measure the macroscopic stress-strain relations. In the next step we apply a representative macroscopic stress or strain onto the boundaries of realizations of the stochastic fiber network model and compute by homogenization the effective (stiffness) coefficients. Finally we compare the numerical results with the measurements.
This procedure can also be used for an identification of elastic parameters on the microscale and to study the sensitivity of the effective (macroscopic) stiffness with regard to the parameters of the microstructure},

year={2011},

keywords={Stochastic fiber network model, beam elements, micromechanics},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 146454

A1 Andrä, Heiko

A1 Edelvik, Fredrik

A1 Fredlund, Mats

A1 Glatt, Erik

A1 Kabel, Matthias

A1 Lai, Ron

A1 Mark, Andreas

A1 Martinsson, Lars

A1 Nyman, Ulf

A1 Rief, Stefan

T1 Micromechanical network model for the evaluation of quality controls of paper

YR 2011

T2 Progress in Paper Physics Seminar

SN 978-3-85125-163-0

SP 49

OP 55

AB In this paper, we discuss the challenges in modelling and simulating infinitesimal and large deformations of cellulose fiber networks, mainly in the context of the prediction of quality controls for paper.
Understanding the influence and sensitivity of macroscopic production parameters like grammage and thickness of paperboard and understanding the influence of the fiber suspension on the quality of paper is important for the development of better papers and for preserving raw materials and energy.
The new simulation framework consists of the virtual stochastic paper structure generator PaperGeo, that was integrated in the GeoDict 1 software suite, and the finite element solver FeelMath (Finite Elements for Elastic Materials and Homogenization) for solving the equations of elasticity. The fibers and the contacts are modelled by using geometrically exact beams of Simo-type [1].
The microstructural model and the fiber network model are validated against standard measurements of existing papers in the following way: At first we perform tensile and bending tests to measure the macroscopic stress-strain relations. In the next step we apply a representative macroscopic stress or strain onto the boundaries of realizations of the stochastic fiber network model and compute by homogenization the effective (stiffness) coefficients. Finally we compare the numerical results with the measurements.
This procedure can also be used for an identification of elastic parameters on the microscale and to study the sensitivity of the effective (macroscopic) stiffness with regard to the parameters of the microstructure

LA eng

OL 30