Numerical and experimental characterization of 3D-Printed elliptical anti-chiral metamaterials with box-Behnken optimization

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Authors: Mahdi Khajepour, Mohammad Amin Yousefi, Davood Rahmatabadi, Mostafa Baghani, Majid Baniassadi
Cited by: 27
References: 104

Abstract

In recent years, progress in architected lattices and high-resolution vat photopolymerization has renewed attention to auxetic designs that combine conformability with load-bearing capacity. Here, the mechanics of Digital Light Processing (DLP)-printed elliptical anti-chiral metamaterials were examined with the aim of establishing practical design rules for stiffness, energy absorption, peak load, and auxetic response. A Box-Behnken design was implemented over three geometric factors (curvature, thickness, width), and an elastic-plastic finite-element model calibrated from compression tests was validated against tests on representative lattices. ANOVA confirmed statistically significant models for all responses. Qualitatively, thickness governed elastic stiffness, maximum force, and energy absorption; width provided additional gains while helping preserve auxeticity; and curvature had a secondary effect on strength but reduced the magnitude of the negative Poisson’s ratio. Representative outcomes included elastic stiffness ≈ 3.0 kN/mm, ≈ 5.3 kN, specific energy absorption ≈ 339 J/kg, and a most-auxetic case of ν ≈ -1.61. A multi-response desirability search identified a narrow high-performance region favoring large width with moderate thickness and curvature, offering a balanced increase in load capacity and energy absorption while retaining auxetic behavior. The validated DOE/RSM framework provides clear, data-efficient guidance for tuning elliptical anti-chiral lattices toward protective and biomedical applications.

Fields of Study & Subjects

Metamaterials and Metasurfaces Applications Electromagnetic Scattering and Analysis Advanced Materials and Mechanics

Publication details

Journal / source
Journal of Materials Research and Technology
Publisher
Elsevier BV
Volume
41
Pages
7290–7308
Publication date
1 March 2026
Language
EN