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Micromechanical modelling of oil palm empty fruit bunch fibres containing silica bodies

Overview of attention for article published in Journal of the Mechanical Behavior of Biomedical Materials, May 2016
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Title
Micromechanical modelling of oil palm empty fruit bunch fibres containing silica bodies
Published in
Journal of the Mechanical Behavior of Biomedical Materials, May 2016
DOI 10.1016/j.jmbbm.2016.04.043
Pubmed ID
Authors

Farah Nadia Omar, Suhaiza Hanim Hanipah, Loo Yu Xiang, Mohd Afandi P. Mohammed, Azhari Samsu Baharuddin, Jaafar Abdullah

Abstract

Experimental and numerical investigation was conducted to study the micromechanics of oil palm empty fruit bunch fibres containing silica bodies. The finite viscoelastic-plastic material model called Parallel Rheological Network model was proposed, that fitted well with cyclic and stress relaxation tensile tests of the fibres. Representative volume element and microstructure models were developed using finite element method, where the models information was obtained from microscopy and X-ray micro-tomography analyses. Simulation results showed that difference of the fibres model with silica bodies and those without ones is larger under shear than compression and tension. However, in comparison to geometrical effect (i.e. silica bodies), it is suggested that ultrastructure components of the fibres (modelled using finite viscoelastic-plastic model) is responsible for the complex mechanical behaviour of oil palm fibres. This can be due to cellulose, hemicellulose and lignin components and the interface behaviour, as reported on other lignocellulosic materials.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 22%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Student > Postgraduate 3 6%
Researcher 3 6%
Other 7 14%
Unknown 15 31%
Readers by discipline Count As %
Engineering 10 20%
Agricultural and Biological Sciences 8 16%
Chemical Engineering 5 10%
Environmental Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 5 10%
Unknown 15 31%