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Numerical prediction of the stiffness and strength of medium density fiberboards.

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Title: Numerical prediction of the stiffness and strength of medium density fiberboards.
Authors: Sliseris, Janis1,2 janis.sliseris@itwm.fraunhofer.de, Andrä, Heiko1, Kabel, Matthias1, Dix, Brigitte3, Plinke, Burkhard3, Wirjadi, Oliver1, Frolovs, Girts2
Source: Mechanics of Materials. Dec2014, Vol. 79, p73-84. 12p.
Subjects: Stiffness (Mechanics), Strength of materials, Fiberboard, Numerical analysis, Tensile strength, Fast Fourier transforms
Abstract: A numerical two scale method for the prediction of tensile and bending stiffness and strength of medium density fiberboards (MDF) is proposed with the aim to study the fiber orientation influence on mechanical properties of MDF. The method requires less experimental data to optimize MDF and to improve industrial manufacturing technology of MDF. A new method for computing orientation tensors of the compressed fiber network is proposed. First, the virtual microstructure is generated by simulations of a fiber lay-down and a subsequent compression to obtain the necessary density. The density profile, fiber length, thickness, and orientation are used for the microstructure generation, which are obtained from μ CT images and image analysis tools. Then a new damage model for the wood fiber cell walls and joints is introduced. The microstructural problem is formulated as a Lippmann–Schwinger type equation in elasticity and solved by using Fast Fourier Transformation (FFT). The macroscopic three point bending test is simulated with hexahedral finite elements and analytical methods based on Euler–Bernoulli theory. The difference between bending strength and stiffness numerically obtained and corresponding experimentally measured values is less than 10%. This study lays a foundation for the optimal design of MDF fiber structures and the optimization of industrial manufacturing processes. The first results show an increase of up to 60% for bending stiffness in the case of strongly oriented fibers. [ABSTRACT FROM AUTHOR]
Copyright of Mechanics of Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 98665612
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Numerical prediction of the stiffness and strength of medium density fiberboards.
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  Data: <searchLink fieldCode="AR" term="%22Sliseris%2C+Janis%22">Sliseris, Janis</searchLink><relatesTo>1,2</relatesTo><i> janis.sliseris@itwm.fraunhofer.de</i><br /><searchLink fieldCode="AR" term="%22Andrä%2C+Heiko%22">Andrä, Heiko</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kabel%2C+Matthias%22">Kabel, Matthias</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dix%2C+Brigitte%22">Dix, Brigitte</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Plinke%2C+Burkhard%22">Plinke, Burkhard</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Wirjadi%2C+Oliver%22">Wirjadi, Oliver</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Frolovs%2C+Girts%22">Frolovs, Girts</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Mechanics+of+Materials%22">Mechanics of Materials</searchLink>. Dec2014, Vol. 79, p73-84. 12p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Stiffness+%28Mechanics%29%22">Stiffness (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Strength+of+materials%22">Strength of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Fiberboard%22">Fiberboard</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Tensile+strength%22">Tensile strength</searchLink><br /><searchLink fieldCode="DE" term="%22Fast+Fourier+transforms%22">Fast Fourier transforms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A numerical two scale method for the prediction of tensile and bending stiffness and strength of medium density fiberboards (MDF) is proposed with the aim to study the fiber orientation influence on mechanical properties of MDF. The method requires less experimental data to optimize MDF and to improve industrial manufacturing technology of MDF. A new method for computing orientation tensors of the compressed fiber network is proposed. First, the virtual microstructure is generated by simulations of a fiber lay-down and a subsequent compression to obtain the necessary density. The density profile, fiber length, thickness, and orientation are used for the microstructure generation, which are obtained from μ CT images and image analysis tools. Then a new damage model for the wood fiber cell walls and joints is introduced. The microstructural problem is formulated as a Lippmann–Schwinger type equation in elasticity and solved by using Fast Fourier Transformation (FFT). The macroscopic three point bending test is simulated with hexahedral finite elements and analytical methods based on Euler–Bernoulli theory. The difference between bending strength and stiffness numerically obtained and corresponding experimentally measured values is less than 10%. This study lays a foundation for the optimal design of MDF fiber structures and the optimization of industrial manufacturing processes. The first results show an increase of up to 60% for bending stiffness in the case of strongly oriented fibers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Mechanics of Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.mechmat.2014.08.005
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 73
    Subjects:
      – SubjectFull: Stiffness (Mechanics)
        Type: general
      – SubjectFull: Strength of materials
        Type: general
      – SubjectFull: Fiberboard
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Tensile strength
        Type: general
      – SubjectFull: Fast Fourier transforms
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      – TitleFull: Numerical prediction of the stiffness and strength of medium density fiberboards.
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            – D: 01
              M: 12
              Text: Dec2014
              Type: published
              Y: 2014
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