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A method for the optimal design of low-density polymer foam core sandwiches using FEA and multiobjective optimization of design variables

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Veröffentlicht/Copyright: 18. November 2021
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Abstract

In this study, a generative method was introduced to determine the optimal design of low-density polymer foam core sandwiches using finite element analysis (FEA) and multi-objective optimization of design variables without needing experiments. The method was also assessed. The sandwich structures were designed based on woven plain carbon fiber fabrics, PVC foam core, and polymer epoxy matrix. The design variables are the core density (40, 48, 60 kg/m3) and the core thickness (16, 20, 25 mm). The sandwich configurations were subjected to FEA under the three-point bending (TPB) loads. The force-reaction curves obtained from FEA were compared to experimental data available in the literature. Excellent agreement was achieved between the experimental and FEA simulated results at the linear elastic region of the curves. Thus, it allowed predicting the bending stiffness of the sandwiches via TPB analysis. Besides, a two-way analysis of variance (ANOVA) was conducted to determine the effects of parameters on sandwich mass and bending load capacity. Multi-objective optimization of design variables was also carried out according to the constructed mathematical models. The method provided in this study eases both designer’s and researcher’s work to obtain the optimal design variables without making costly experiments.


Corresponding author: Durmuş Can Acer, Department of Mechanical Engineering, Çukurova University, 01330 Adana, Turkey, E-mail:

Funding source: Çukurova University

Award Identifier / Grant number: FBA-2017-8441

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: FBA-2017-8441, Scientific Research Projects Coordination Unit (BAP) of Çukurova University, Adana, Turkey.

  3. Conflict of interest statement: The authors declare that there is no conflict of interest regarding this article.

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Received: 2021-06-18
Accepted: 2021-10-04
Published Online: 2021-11-18
Published in Print: 2022-01-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 24.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/polyeng-2021-0181/html?lang=de
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