Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Jul 11;16(14):1986.
doi: 10.3390/polym16141986.

Environmental Impact of Fused Filament Fabrication: What Is Known from Life Cycle Assessment?

Affiliations
Review

Environmental Impact of Fused Filament Fabrication: What Is Known from Life Cycle Assessment?

Antonella Sola et al. Polymers (Basel). .

Abstract

This systematic review interrogates the literature to understand what is known about the environmental sustainability of fused filament fabrication, FFF (also known as fused deposition modeling, FDM), based on life cycle assessment (LCA) results. Since substantial energy demand is systematically addressed as one of the main reasons for ecological damage in FFF, mitigation strategies are often based on reducing the printing time (for example, adopting thicker layers) or the embodied energy per part (e.g., by nesting, which means by printing multiple parts in the same job). A key parameter is the infill degree, which can be adjusted to the application requirements while saving printing time/energy and feedstock material. The adoption of electricity from renewable resources is also expected to boost the sustainability of distributed manufacturing through FFF. Meanwhile, bio-based and recycled materials are being investigated as less impactful alternatives to conventional fossil fuel-based thermoplastic filaments.

Keywords: FDM; FFF; MEX; additive manufacturing; environmental impact; fused deposition modeling; fused filament fabrication; life cycle assessment; material extrusion; sustainability.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Popularity of AM technologies according to recent statistics (2022). FFF: fused filament fabrication; SLS: selective laser sintering; MJF: multi-jet fusion; SLA: stereolithography; DLP: digital light processing; DMSL: direct metal laser sintering; SLM: selective laser melting; BJ: binder jetting. Adapted from Sculpteo [11].
Figure 2
Figure 2
Functioning principle of FFF.
Figure 3
Figure 3
Same part is printed with different infill degrees: (a) 0% solid, corresponding to a completely hollow part; (b) 20% solid; (c) 50% solid; (d) 100% solid.
Figure 4
Figure 4
Examples of different infill patterns are (a) rectangular; (b) triangular or diagonal; (c) honeycomb; and (d) wiggle.
Figure 5
Figure 5
Five stages of a product’s life according to the LCA methodology. If “disposal” is replaced by “recycling”, the product’s life trajectory changes from linear to circular.
Figure 6
Figure 6
Four stages are required to complete an LCA.
Figure 7
Figure 7
Workflow followed in this systematic review.
Figure 8
Figure 8
Evolution over time of the literature dedicated to the LCA of FFF.
Figure 9
Figure 9
Stair-stepping effect, printing time, and energy consumption are associated with different values of the layer thickness in FFF.

References

    1. Jiménez M., Romero L., Domínguez I.A., Espinosa M.d.M., Domínguez M. Additive Manufacturing Technologies: An Overview about 3D Printing Methods and Future Prospects. Complexity. 2019;2019:9656938. doi: 10.1155/2019/9656938. - DOI
    1. Ford S., Despeisse M. Additive Manufacturing and Sustainability: An Exploratory Study of the Advantages and Challenges. J. Clean. Prod. 2016;137:1573–1587. doi: 10.1016/j.jclepro.2016.04.150. - DOI
    1. Kunovjanek M., Reiner G. How Will the Diffusion of Additive Manufacturing Impact the Raw Material Supply Chain Process? Int. J. Prod. Res. 2020;58:1540–1554. doi: 10.1080/00207543.2019.1661537. - DOI
    1. Liu J., Gaynor A.T., Chen S., Kang Z., Suresh K., Takezawa A., Li L., Kato J., Tang J., Wang C.C.L., et al. Current and Future Trends in Topology Optimization for Additive Manufacturing. Struct. Multidiscip. Optim. 2018;57:2457–2483. doi: 10.1007/s00158-018-1994-3. - DOI
    1. Zhu J., Zhou H., Wang C., Zhou L., Yuan S., Zhang W. A Review of Topology Optimization for Additive Manufacturing: Status and Challenges. Chin. J. Aeronaut. 2021;34:91–110. doi: 10.1016/j.cja.2020.09.020. - DOI

LinkOut - more resources