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Micromechanical Viscoelastic Analysis of Flax Fiber Reinforced Bio-Based Polyurethane Composites

Nassibeh Hosseini1, Samad Javid1, Ali Amiri1, Chad Ulven1,*, Dean C. Webster2, Ghodrat Karami1

1 Mechanical Engineering Department, North Dakota State University 111 Dolve Hall, NDSU Dept. 2490, Fargo, North Dakota 58108, USA
2 Department of Coatings and Polymeric Materials, North Dakota State University, NDSU Dept. 2760, Fargo, North Dakota 58108, USA

* Corresponding Author: email

Journal of Renewable Materials 2015, 3(3), 205-215.


In this study, a novel, bio-based polyol was used in the formulation of a polyurethane (PU) matrix for a composite material where fl ax fi ber was used as the reinforcement. The viscoelastic properties of the matrix and fl ax fi ber were determined by a linear viscoelastic model through experimentation and the results were used as input for the material properties in the computational model. A fi nite element micromechanical model of a representative volume element (RVE) in terms of repeating unit cells (RUC) was developed to predict the mechanical properties of composites. Six loading conditions were applied on the RUC to predict and defi ne the viscoelastic behavior of the composite unit cell. The time-history of averaged response was determined in terms of stress and strains. The results of this study suggest that applying the overall rate-dependent behavior of fl ax fi ber to the micromechanical model leads to a good agreement between the micromechanical modeling and experimental results. The modeling approach is effi cient and accurate as long as the periodicity in the composite rules. This modeling approach can be used as a powerful algorithm in determining linear and nonlinear properties in material mechanics analysis and characterization.


Cite This Article

Hosseini, N., Javid, S., Amiri, A., Ulven, C., Webster, D. C. et al. (2015). Micromechanical Viscoelastic Analysis of Flax Fiber Reinforced Bio-Based Polyurethane Composites. Journal of Renewable Materials, 3(3), 205–215.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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