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A review of design and fabrication strategies for thermoplastic lightweight thin-walled stiffened shells and lattice structures utilizing fused-filament fabrication (FFF)
Open accessAbstract
The demand for lightweight and mechanically reliable structures has motivated increased interest in Additive Manufacturing (AM), particularly Fused Filament Fabrication (FFF), while underscoring the importance of an integrated understanding of the design-to-fabrication workflow. While numerous studies have focused on individual aspects of the FFF process in fabrication of such structures, detailed review linking design strategies, optimization techniques, and manufacturing challenges are scarce. This work addresses that gap by reviewing current strategies for designing and fabricating lightweight structures using FFF. First, it investigates sophisticated design and optimization strategies, consisting of Design for Additive Manufacturing (DfAM) concepts and Topology Optimization (TO) techniques specifically adapted for thin-walled and lattice structures. The limitations of traditional CAD tools are extensively investigated along with a summary of major manufacturing challenges. The review combines multidisciplinary insights to create an integrated understanding for generating structurally efficient and reliable FFF components. It concludes by outlining prospective future research avenues, including artificial intelligence–driven process control and digital twins for predictive modeling. This work offers a detailed resource for researchers and practitioners aiming to address existing limitations and drive FFF towards resilient next-generation lightweight systems.
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Akbar, N. I., Sagor, S. I., & Ahmed, S. M. M. (2022) · International Conference on Electrical and Computer Engineering (ICECE) · doi:10.1109/icece57408.2022.10089099 · Cited by 2
Self-citationMachine learning for design in additive manufacturing
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A Review on the Fused Filament Fabrication of Lightweight Components
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Flagged first, then by citations
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Research works printed but not linked: 17
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Cited by
Sorted by citations
Mohammed, D. F. (2026) · Al-Noor Journal of Engineering Management and Computer Science · doi:10.71229/wx7czg04
Munshi, M. R., Haque, M. M., & Zaman, P. B. (2026) · Next Materials · doi:10.1016/j.nxmate.2026.102862
A review of carbon composite marine propellers
Niloy, R. S., & Prusty, B. G. (2026) · Composites Part B Engineering · doi:10.1016/j.compositesb.2026.114138
Material–topology interaction in the tensile behaviour of FDM-printed PLA and TPU lattices
Tzu-Hua, C., Kai-Ting, C., & Li, Y.-T. (2026) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-026-19102-5
Kim, S., Cho, K., Vu, T. H., Lee, S., & Park, S. J. (2026) · Materials · doi:10.3390/ma19194067
Metadata
- Authors
- Ahmed, R., Dola, I. S., Ahmed, S., Rahman, M. M., Shanto, T. A., & Taylor, R.
- Affiliations
- The University of Texas at Arlington (US)
- Corresponding author
- Taylor, Robert
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2026-05-09
- Volume
- 144
- Issue
- 9-10
- Pages
- 6111-6158
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W7160706711
- Cited by
- 6
- References
- 326
- Citations by year
- 2026: 6
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
- Physical Sciences › Engineering › Mechanical Engineering › Cellular and Composite Structures
- Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
- Keywords
- fused deposition modeling, lightweight structures, thin-walled structures, stiffened shells, lattice structures, design for additive manufacturing, topology optimization, production problems, digital twin, predictive modeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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