JOURNAL ARTICLE

Scalable phononic metamaterials: Tunable bandgap design and multi-scale experimental validation

Abstract

Phononic metamaterials offer unprecedented control over wave propagation, making them essential for applications such as vibration isolation, waveguiding, and acoustic filtering. However, achieving scalable and precisely tunable bandgap properties across different length scales remains challenging. This study presents a user-friendly design framework for phononic metamaterials, enabling ultra-wide bandgap tunability (B/ωc ratios up to 172 %) across multiple frequency ranges and scales. Using finite element simulations of a Yablonovite-inspired unit cell, we establish a comprehensive parametric design space that illustrates how geometric parameters, such as sphere size and beam diameter, controls bandgap width and frequency. The scalability and robustness of the framework are validated through experimental testing on additively manufactured structures at both macro (10 mm) and micro (80 µm) scales, fabricated using Stereolithography and Two-Photon Polymerization. Transmission loss measurements, conducted with piezoelectric transducers and laser vibrometry, closely match simulations in the kHz and MHz frequency ranges, confirming the reliability and consistency of the bandgap behavior across scales. This work bridges theory and experiments at multiple scales, offering a practical methodology for the rapid design of phononic metamaterials and expanding their potential for diverse applications across a broad range of frequencies.

Keywords:
Materials science Metamaterial Band gap Acoustic metamaterials Scale (ratio) Scalability Optoelectronics Engineering physics Computer science Engineering

Metrics

4
Cited By
7.97
FWCI (Field Weighted Citation Impact)
94
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Acoustic Wave Phenomena Research
Physical Sciences →  Engineering →  Biomedical Engineering
Metamaterials and Metasurfaces Applications
Physical Sciences →  Materials Science →  Electronic, Optical and Magnetic Materials
Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience

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