A multi-scale case study on the variation of flax fiber properties: From single fiber and yarn to woven fabric and bio-based HDPE composites

Bio-based polymer composites and natural fiber reinforcements continue to gain interest as sustainable alternatives to synthetic, non-renewable composites while targeting similar or even superior mechanical performance. However, the high variability in the mechanical properties of natural fibers remains a primary concern for designers. This study compares the mechanical properties and underlying multi-scale variability in flax fiber material, from dry single fiber and yarn, to dry woven fabric and finally consolidated composite levels. For the composite level, samples were made of 95 % bio-based high-density polyethylene (G-HDPE) reinforced with 2 × 2 twill Flax Fiber (FF) fabrics and fabricated using compression molding. The coefficient of variation in the Young’s Modulus of G-HDPE/30 %FF (13 %) was significantly lower than that of flax single fibers (59 %), yarns (24 %), and fabric reinforcements (21 %), indicating a favorable reduction in property variability at higher levels of the application/design scale. Using 30 wt% of FF in G-HDPE enhanced the composite’s tensile strength by 225 % and Young's modulus by 250 % compared to neat G-HDPE, despite only a 10 % increase in density. Additionally, thermogravimetric analysis showed a low decomposition temperature for the composite (∼300 °C) due to the presence of flax fibers, as compared to the virgin matrix (440 °C), while differential scanning calorimetry revealed no impact on the melting and crystallization temperatures.

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Publication Details

Journal
Results in Engineering
Published
2025-09-25
DOI
https://doi.org/10.1016/j.rineng.2025.107457
Citations
2
Primary Topic
Natural Fiber Reinforced Composites
Type
article
Field-Weighted Citation Impact
1.21
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article

A multi-scale case study on the variation of flax fiber properties: From single fiber and yarn to woven fabric and bio-based HDPE composites

Abbas S. Milani, Yasmine Abdin, Olivia H. Margoto, Hawraa Rashidi
2 citations
Results in Engineering
Natural Fiber Reinforced Composites
1.21
article

A multi-scale case study on the variation of flax fiber properties: From single fiber and yarn to woven fabric and bio-based HDPE composites

Abbas S. Milani, Yasmine Abdin, Olivia H. Margoto, Hawraa Rashidi
article en
2 citations

Abstract

Bio-based polymer composites and natural fiber reinforcements continue to gain interest as sustainable alternatives to synthetic, non-renewable composites while targeting similar or even superior mechanical performance. However, the high variability in the mechanical properties of natural fibers remains a primary concern for designers. This study compares the mechanical properties and underlying multi-scale variability in flax fiber material, from dry single fiber and yarn, to dry woven fabric and finally consolidated composite levels. For the composite level, samples were made of 95 % bio-based high-density polyethylene (G-HDPE) reinforced with 2 × 2 twill Flax Fiber (FF) fabrics and fabricated using compression molding. The coefficient of variation in the Young’s Modulus of G-HDPE/30 %FF (13 %) was significantly lower than that of flax single fibers (59 %), yarns (24 %), and fabric reinforcements (21 %), indicating a favorable reduction in property variability at higher levels of the application/design scale. Using 30 wt% of FF in G-HDPE enhanced the composite’s tensile strength by 225 % and Young's modulus by 250 % compared to neat G-HDPE, despite only a 10 % increase in density. Additionally, thermogravimetric analysis showed a low decomposition temperature for the composite (∼300 °C) due to the presence of flax fibers, as compared to the virgin matrix (440 °C), while differential scanning calorimetry revealed no impact on the melting and crystallization temperatures.

Results in EngineeringVol. 28
University of British Columbia (CA), University of British Columbia, Okanagan Campus (CA)
Openalex Percentile: Top 20%
Natural Fiber Reinforced Composites
1.21
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