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Ultra-light particleboard: characterization of foam core layer by digital image correlation

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Abstract

Increasing markets for internet-traded furniture, but also economic concerns are main driving forces to considerably reduce the weight of wood-based furniture panels. Recent research and technological developments have led to an innovative one-step process which simplifies the typical multi-step process for production of foam core panels. Three layered sandwich panels (with particleboard faces and polymeric in situ expanded foam as core layer) can be produced by a one-step process without additional gluing between the face and core layers. As the morphology of the foam and hence its mechanical properties strongly depend on its chemical composition, as well as on the process parameters during expansion, there are no data available, so far, describing the foam of the novel panels. The aim of the proposed project is to determine the elastic properties of in situ expanded foams using 2D digital image correlation. The data can be used later on for the simulation of the elastic behavior of foam core particleboards by means of FEM to describe the short and long term behavior of the panels.

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Acknowledgments

Ali Shalbafan would like to acknowledge the Swiss National Science Foundation (SNSF) through the awarded grant (IZK0Z2_162531) to him. The authors are also grateful to Joze Smole, Bern University of Applied Sciences, for panel’s preparation. We also thank Sunpor GmbH and BASF for supplying materials.

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Authors and Affiliations

  1. Department of Wood and Paper Science and Technology, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran

    Ali Shalbafan

  2. Institute for Materials and Wood Technology, Bern University of Applied Sciences, Bern, Switzerland

    Martin Rhême & Heiko Thoemen

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  1. Ali Shalbafan
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  2. Martin Rhême
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  3. Heiko Thoemen
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Correspondence to Ali Shalbafan.

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Shalbafan, A., Rhême, M. & Thoemen, H. Ultra-light particleboard: characterization of foam core layer by digital image correlation. Eur. J. Wood Prod. 75, 43–53 (2017). https://doi.org/10.1007/s00107-016-1088-0

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  • DOI: https://doi.org/10.1007/s00107-016-1088-0

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