Exploring the possibilities of FDM filaments comprising natural fiber-reinforced biocomposites for additive manufacturing

Rafiee, Mahdi; Abidnejad, Roozbeh; Ranta, Anton; Ojha, Krishna; Karakoç, Alp; Paltakari, Jouni

doi:10.3934/matersci.2021032

Cited by 20 publications

(6 citation statements)

References 39 publications

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“…80% sample exhibited better tensile, flexural, and Brinell hardness with a hexagonal infill pattern. Rafiee et al [ 165 ] investigated the tensile and thermal properties of PLA/birch fiber composites. The authors used PEG as a plasticizer with various percentages (1, 5, and 10).…”

Section: Fdm Compositesmentioning

confidence: 99%

A comprehensive review on natural fillers reinforced polymer composites using fused deposition modeling

et al. 2023

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Additive manufacturing (AM) is being used more widely because of the simplicity of the operating procedures. It decreases material consumption during part production and eliminates material waste. Fused deposition modeling (FDM), a well‐known AM process, uses thermoplastic polymer as a feedstock to manufacture the end design. Pure thermoplastic‐based products are still utilized as prototypes in several sectors due to their lack of strength and durability. This problem has been solved by strengthening the thermoplastics by adding a reinforcing element. Composites are made of polymers and various constituents known as reinforcing components. This article overviews natural reinforced polymer composites used in the FDM process. Mechanical and Thermal properties are presented based on natural filler percentage, and this article only considered natural composite filaments for the FDM process.

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Section: Fdm Compositesmentioning

confidence: 99%

A comprehensive review on natural fillers reinforced polymer composites using fused deposition modeling

et al. 2023

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“…The aspect ratio size shows that an increase in fibre content increases tensile modulus but decreases tensile and flexural strength. They concluded increasing the fibre content with poor dispersion would reduce composite strength, and increasing the fibre length would increase composite strength and elasticity but diminish toughness and strain [14][15][16][17].…”

Section: Fibresmentioning

confidence: 99%

Effect of Fibre Size on Mechanical Properties and Surface Roughness of PLA Composites by Using Fused Deposition Modelling (FDM)

Jamadi¹,

Razali²,

Malingam³

et al. 2023

Journal of Renewable Materials

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Natural fibre as a reinforcing agent has been widely used in many industrial applications. Nevertheless, several factors need to be considered, such as the size and weight percentage of the fibre used in binding. Using fused deposition modelling (FDM), this factor was investigated by varying the size of natural fibre as the responding variable with a fixed weight percentage of kenaf fibre. The process of modifying the natural fibre in terms of size might increase the dispersion of kenaf fibre in the polymer matrix and increase the adhesion bonding between the fibre and matrix of composites, subsequently improving the interfacial bonding between these two phases. In this paper, the effect of fibre size was evaluated by performing the mechanical test, Scanning Electron Micrograph (SEM) to observe the morphology of the composites, and also by surface analysis. The surface roughness was visualised using a 3D profilometer and the figure was illustrated as colour shading in the image. The composite with fibre size ≤100 μm displayed better tensile and flexural strength, compared to other sizes. In conclusion, by reducing the size of the fibre, the composites could develop high strength performance for industrial applications.

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“…In recent years, additive manufacturing has emerged as an innovative and virtually waste-free technology, challenging conventional manufacturing paradigms. Given the polymeric nature of biocomposites, Fused Deposition Modelling (FDM) presents a promising technology for their successful processing [8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Attribute Decision Making: Parametric Optimization and Modeling of the FDM Manufacturing Process Using PLA/Wood Biocomposites

Morvayová,

Contuzzi,

Fabbiano

et al. 2024

Materials

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The low carbon footprint, biodegradability, interesting mechanical properties, and relatively low price are considered some of the reasons for the increased interest in polylactic acid-based (PLA-based) filaments supplied with natural fillers. However, it is essential to recognize that incorporating natural fillers into virgin PLA significantly impacts the printability of the resulting blends. The complex inter-relationship between process, structure, and properties in the context of fused deposition modeling (FDM)-manufactured biocomposites is still not fully understood, which thus often results in decreased reliability of this technology in the context of biocomposites, decreased accuracy, and the increased presence of defects in the manufactured biocomposite samples. In light of these considerations, this study aims to identify the optimal processing parameters for the FDM manufacturing process involving wood-filled PLA biocomposites. This study presents an optimization approach consisting of Grey Relational Analysis in conjunction with the Taguchi orthogonal array. The optimization process has identified the combination of a scanning speed of 70 mm/s, a layer height of 0.1 mm, and a printing temperature of 220 °C as the most optimal, resulting in the highly satisfactory combination of good dimensional accuracy (Dx = 20.115 mm, Dy = 20.556 mm, and Dz = 20.220 mm) and low presence of voids (1.673%). The experimentally determined Grey Relational Grade of the specimen manufactured with the optimized set of process parameters (0.782) was in good agreement with the predicted value (0. 754), substantiating the validity of the optimization process. Additionally, the research compared the efficacy of optimization between the integrated multiparametric method and the conventional monoparametric strategy. The multiparametric method, which combines Grey Relational Analysis with the Taguchi orthogonal array, exhibited superior performance. Although the monoparametric optimization strategy yielded specimens with favorable values for the targeted properties, the analysis of the remaining characteristics uncovered unsatisfactory results. This highlights the potential drawbacks of relying on a singular optimization approach.

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Exploring the possibilities of FDM filaments comprising natural fiber-reinforced biocomposites for additive manufacturing

Cited by 20 publications

References 39 publications

A comprehensive review on natural fillers reinforced polymer composites using fused deposition modeling

A comprehensive review on natural fillers reinforced polymer composites using fused deposition modeling

Effect of Fibre Size on Mechanical Properties and Surface Roughness of PLA Composites by Using Fused Deposition Modelling (FDM)

Multi-Attribute Decision Making: Parametric Optimization and Modeling of the FDM Manufacturing Process Using PLA/Wood Biocomposites

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