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Gyroid Structures under Compression: Design, Simulation and Validation through ANN and Experimental Testing

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Abstract:

Gyroid structures are one of the most common Triply Periodic Minimal Surfaces (TPMS) with remarkable mechanical properties, including energy absorption and stress distribution. In the current study, the compressive behavior of gyroid structures fabricated through Fused Deposition Modeling (FDM) was investigated. The deformation and failure mechanisms were predicted via extensive simulations using Finite Element Analysis tools. Experimental testing using Acrylonitrile Butadiene Styrene (ABS) specimens was performed on a Universal Testing Machine (UTM), and the results compared with computational data. To predict the compressive strength and optimize the structural parameters, an Artificial Neural Network (ANN) was trained. Results indicate a good match between the experimental and simulation findings, indicating immense potential for these gyroid structures in energy absorption.

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Periodical:

Advances in Science and Technology (Volume 175)

Pages:

141-147

DOI:

https://doi.org/10.4028/p-0bK363

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Online since:

May 2026

Authors:

D. Mallikarjuna Reddy*, Rai Kshitij, Pranav G. Leela

Keywords:

3D Printing, Artificial Neural Network (ANN), Energy Absorption, Gyroid Structures, Triply Periodic Minimal Surface (TPMS)

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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