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Improvement of the mechanical properties of Kagome structures using PUR foam matrices

  • Alexandru Viorel Coşa is an Assistant Professor in the Department of Materials and Manufacturing Engineering at Politehnica University Timişoara, Romania. He is currently a PhD student in mechanical engineering and specializes in the characterization, modeling, and processing of polymer and composite materials. His research interests include additive manufacturing, mechanical testing of advanced materials, structural optimization, and the development of functional and sustainable composite systems for engineering applications.

    ,

    Sirko Geller is a research scientist and postdoc at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He completed his PhD degree at TU Dresden about the process development for manufacturing of PU-based fiber-composite structures with integrated sensor systems. His current research focuses on the development, characterization, and modeling of heavy-duty fiber-reinforced composite components based on thermosetting matrix systems. His interests further include process simulation, preforming, and the design of active composite structures for advanced lightweight applications in engineering.

    ,

    Johann Faust is a research associate and PhD student at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He holds an engineering diploma and is currently pursuing his PhD degree in the field of novel UV-curing applications for fiber-reinforced thermosets that enable immediate hardening of these composites. His other works include the development of advanced processing technologies for PU applications, process data analysis, and optimizing process-chain efficiency in thermoset manufacturing.

    , ,

    Niels Modler is Professor and Chair of Function-Integrative Lightweight Engineering at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He holds a PhD degree in Mechanical Engineering and has been involved in numerous research projects on structural health monitoring, composite materials, and sensor integration in lightweight components. His research interests include lightweight design methods, fiber-reinforced composites, material-integrated sensing and actuation, and the development of advanced structural monitoring technologies for applications in mobility, aviation, mechanical engineering, and medical devices.

    and

    Dan-Andrei Șerban is Professor and PhD Coordinator at the Department of Mechatronics, Faculty of Mechanical Engineering, Politehnica University of Timişoara, Romania. With a PhD in mechanical engineering, his research primarily focuses on metamaterial structures, thermoplastic polymers, composite materials, and polymeric foams, exploring their mechanical behavior, microstructural characterization, and numerical modeling. He investigates specific aspects such as plasticity, fracture mechanics, damage mechanics, and micromechanical behavior, with applications in lightweight engineering, automotive, and aerospace industries. His work integrates experimental studies, computational simulations, and advanced materials testing methodologies to understand structure–property relationships.

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Published/Copyright: January 19, 2026
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Abstract

This study investigates the opportunities of improvement of the compressive stiffness, strength, and energy absorption capabilities of metamaterial structures based on Kagome cells using rigid polyurethane (PUR) foam matrices for embedding. Three densities were considered for the Kagome structures: 142.8 kg m−3, 198.2 kg m−3, and 257.7 kg m−3, respectively (corresponding to a relative density of approximately 0.1, 0.15, and 0.2 respectively), while the density of the PUR foam was maintained constant at 90 kg m−3. The structures were incorporated in sandwich panels using thermoplastic polymer-reinforced woven glass fiber faces and were subjected to static and dynamic tests using a drop tower. Considering the weight added by the PUR matrix, the performance of the investigated structures was evaluated with respect to their density, the results showing better stiffness- and strength-to-weight ratios for the bare structures but significantly higher energy absorption capabilities for the embedded structures.


Corresponding author: Dan-Andrei Șerban, Mechatronics, Politehnica University Timisoara, Timișoara, Romania, E-mail:

Award Identifier / Grant number: contract number 586PE

About the authors

Alexandru Viorel Coşa

Alexandru Viorel Coşa is an Assistant Professor in the Department of Materials and Manufacturing Engineering at Politehnica University Timişoara, Romania. He is currently a PhD student in mechanical engineering and specializes in the characterization, modeling, and processing of polymer and composite materials. His research interests include additive manufacturing, mechanical testing of advanced materials, structural optimization, and the development of functional and sustainable composite systems for engineering applications.

Sirko Geller

Sirko Geller is a research scientist and postdoc at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He completed his PhD degree at TU Dresden about the process development for manufacturing of PU-based fiber-composite structures with integrated sensor systems. His current research focuses on the development, characterization, and modeling of heavy-duty fiber-reinforced composite components based on thermosetting matrix systems. His interests further include process simulation, preforming, and the design of active composite structures for advanced lightweight applications in engineering.

Johann Faust

Johann Faust is a research associate and PhD student at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He holds an engineering diploma and is currently pursuing his PhD degree in the field of novel UV-curing applications for fiber-reinforced thermosets that enable immediate hardening of these composites. His other works include the development of advanced processing technologies for PU applications, process data analysis, and optimizing process-chain efficiency in thermoset manufacturing.

Niels Modler

Niels Modler is Professor and Chair of Function-Integrative Lightweight Engineering at the Institute of Lightweight Engineering and Polymer Technology, Dresden University of Technology, Germany. He holds a PhD degree in Mechanical Engineering and has been involved in numerous research projects on structural health monitoring, composite materials, and sensor integration in lightweight components. His research interests include lightweight design methods, fiber-reinforced composites, material-integrated sensing and actuation, and the development of advanced structural monitoring technologies for applications in mobility, aviation, mechanical engineering, and medical devices.

Dan-Andrei Șerban

Dan-Andrei Șerban is Professor and PhD Coordinator at the Department of Mechatronics, Faculty of Mechanical Engineering, Politehnica University of Timişoara, Romania. With a PhD in mechanical engineering, his research primarily focuses on metamaterial structures, thermoplastic polymers, composite materials, and polymeric foams, exploring their mechanical behavior, microstructural characterization, and numerical modeling. He investigates specific aspects such as plasticity, fracture mechanics, damage mechanics, and micromechanical behavior, with applications in lightweight engineering, automotive, and aerospace industries. His work integrates experimental studies, computational simulations, and advanced materials testing methodologies to understand structure–property relationships.

  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: This work was partially funded by the Research Grant PN-III-P2-2.1-PED-2021-1134, contract number 586PED/2022.

  7. Data availability: Not applicable.

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Published Online: 2026-01-19
Published in Print: 2026-02-24

© 2026 Walter de Gruyter GmbH, Berlin/Boston

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