Startseite Additive manufacturing of overexpanded honeycomb core lattice structures and their characterization
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Additive manufacturing of overexpanded honeycomb core lattice structures and their characterization

  • Tugba Simsek

    Tugba Simsek, born in 1991, completed BSc and MSc degrees in Aerospace Engineering and Engineering Sciences at Middle East Technical University, Ankara, Türkiye, respectively. She is working in Structural Test and Verification Department, Turkish Aerospace, Ankara, Türkiye. She was in charge of modeling, writing, and editing of this manuscript.

     ORCID logo     und Zafer Evis

    Prof. Dr. Zafer Evis, born in 1973, is currently a professor at Middle East Technical University, Türkiye. He is also a faculty member of Biomedical Engineering and Micro & Nanotechnology Graduate programs at Middle East Technical University. He received his BSc from Middle East Technical University, Ankara, Türkiye in 1996. He received his M.S., Ph.D., and Post Doc. degrees from Rensselaer Institute University, Troy, NY, USA, in 1999, 2003, and 2004, respectively. His research includes the use of nanotechnology in biomedical applications and additive manufacturing related to lattice structures. He is a member of Turkish Academy of Sciences. He was in charge of modeling and editing of this manuscript. He is corresponding author of this manuscript.

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Veröffentlicht/Copyright: 25. Juli 2025
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Abstract

In this paper, experimental and finite element (FE) analyses of the lattice structures resembling an overexpanded honeycomb core material were performed for different parameters for unit cells of the structures. The lattice structures produced using an additive manufacturing (AM) method. Polylactic acid (PLA) was used to manufacture the test specimens by Fused Deposition Modeling (FDM) method. Seven different test specimens were designed changing three parameters of unit cell with the same size of test specimens. All the test specimens were subjected to compressive load and parameter changes’ effect on mechanical properties, which are yield strength and Young’s modulus. For the validation of the tests, finite element analysis was performed. According to the results, experiments and the FE models gave similar outputs. First, decreasing the cell size, increasing the thickness of the cell edges, and increasing the unit cell angle enhance the strength and Young’s modulus of the lattice structures. Moreover, the structures with 0° and 90° angles of the unit cells show auxetic features, whereas the structures with 45° angles of the unit cells show nonauxetic features.

Keywords: lattice structures; overexpanded honeycomb core material; auxetic structures; additive manufacturing; fused deposition modeling (FDM)
Corresponding author: Zafer Evis, Engineering Science, Middle East Technical University, Ankara, Türkiye, E-mail:

About the authors

Tugba Simsek

Tugba Simsek, born in 1991, completed BSc and MSc degrees in Aerospace Engineering and Engineering Sciences at Middle East Technical University, Ankara, Türkiye, respectively. She is working in Structural Test and Verification Department, Turkish Aerospace, Ankara, Türkiye. She was in charge of modeling, writing, and editing of this manuscript.

Zafer Evis

Prof. Dr. Zafer Evis, born in 1973, is currently a professor at Middle East Technical University, Türkiye. He is also a faculty member of Biomedical Engineering and Micro & Nanotechnology Graduate programs at Middle East Technical University. He received his BSc from Middle East Technical University, Ankara, Türkiye in 1996. He received his M.S., Ph.D., and Post Doc. degrees from Rensselaer Institute University, Troy, NY, USA, in 1999, 2003, and 2004, respectively. His research includes the use of nanotechnology in biomedical applications and additive manufacturing related to lattice structures. He is a member of Turkish Academy of Sciences. He was in charge of modeling and editing of this manuscript. He is corresponding author of this manuscript.

Acknowledgments

The authors greatly thankful to Turkish Aerospace and especially Test and Verification, and Additive Manufacturing Departments for their valuable support.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Published Online: 2025-07-25
Published in Print: 2025-09-25

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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  3. Effect of heat treatment on mechanical performance of hydraulic breaker alloys
  4. Analysis of friction welded square sections of AISI 430/HARDOX 450 steels
  5. Wear performance of PTA coated NiTi composite on AISI 430 steel
  6. Battery box design of electric vehicles using artificial neural network–assisted catch fish optimization algorithm
  7. Design and synthesis strategy of high-performance black alumina membrane support by adding manganese dioxide
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  12. Artificial neural network-assisted supercell thunderstorm algorithm for optimization of real-world engineering problems
  13. Optimum design of electric vehicle battery enclosure using the chaotic metaheuristic algorithms
  14. Additive manufacturing of overexpanded honeycomb core lattice structures and their characterization
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https://doi.org/10.1515/mt-2025-0058
Schlagwörter für diesen Artikel
lattice structures; overexpanded honeycomb core material; auxetic structures; additive manufacturing; fused deposition modeling (FDM)

Artikel in diesem Heft

  1. Frontmatter
  2. FEA of stress distribution in firearms: evaluation of composite materials for gun slides
  3. Effect of heat treatment on mechanical performance of hydraulic breaker alloys
  4. Analysis of friction welded square sections of AISI 430/HARDOX 450 steels
  5. Wear performance of PTA coated NiTi composite on AISI 430 steel
  6. Battery box design of electric vehicles using artificial neural network–assisted catch fish optimization algorithm
  7. Design and synthesis strategy of high-performance black alumina membrane support by adding manganese dioxide
  8. Experimental and numerical analysis of the impact behavior in truncated thin-walled tubes under axial loading
  9. Unveiling the creep mechanisms of rare earth element yttrium added and SPS consolidated CoCrFeNi high entropy alloys
  10. Design optimization of a multi-layer aircraft canopy transparency plate against bird strike
  11. Aircraft wing rib component optimization using artificial neural network–assisted superb fairy-wren algorithm
  12. Artificial neural network-assisted supercell thunderstorm algorithm for optimization of real-world engineering problems
  13. Optimum design of electric vehicle battery enclosure using the chaotic metaheuristic algorithms
  14. Additive manufacturing of overexpanded honeycomb core lattice structures and their characterization
  15. Hardness and fatigue behavior of SiC, Al2O3, and blast furnace slag reinforced hybrid composites with Al6061 matrix
  16. Tribo-mechanical behavior of pectin-filled aloe vera fiber–reinforced polyester composites
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