4.7 Review

Current State and Challenges of Natural Fibre-Reinforced Polymer Composites as Feeder in FDM-Based 3D Printing

期刊

POLYMERS
卷 13, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/polym13142289

关键词

natural fibre; additive manufacturing; filament; surface treatments; optimisation; printing parameters; mechanical properties

资金

  1. UOW Malaysia KDU Research Grant [UOWMKDURG/2020/1/005]

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The review focuses on the current approaches of using NFRC as a feeder for AM, including fiber treatments, composite preparation methods, and addition of compatibilizer agents. The mechanical properties of printed parts are dependent on printing parameters, with the best parameters reported by other researchers being identified. The use of optimization techniques for NFRCs and potential research gaps in this field are also discussed.
As one of the fastest-growing additive manufacturing (AM) technologies, fused deposition modelling (FDM) shows great potential in printing natural fibre-reinforced composites (NFRC). However, several challenges, such as low mechanical properties and difficulty in printing, need to be overcome. Therefore, the effort to improve the NFRC for use in AM has been accelerating in recent years. This review attempts to summarise the current approaches of using NFRC as a feeder for AM. The effects of fibre treatments, composite preparation methods and addition of compatibilizer agents were analysed and discussed. Additionally, current methods of producing feeders from NFRCs were reviewed and discussed. Mechanical property of printed part was also dependent on the printing parameters, and thus the effects of printing temperature, layer height, infill and raster angle were discussed, and the best parameters reported by other researchers were identified. Following that, an overview of the mechanical properties of these composites as reported by various researchers was provided. Next, the use of optimisation techniques for NFRCs was discussed and analysed. Lastly, the review provided a critical discussion on the overall topic, identified all research gaps present in the use of NFRC for AM processes, and to overcome future challenges.

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