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Physics > Applied Physics

arXiv:1811.03228 (physics)
[Submitted on 8 Nov 2018]

Title:Systematic design and realization of double-negative acoustic metamaterials by topology optimization

Authors:Hao-Wen Dong, Sheng-Dong Zhao, Peijun Wei, Li Cheng, Chuanzeng Zhang, Yue-Sheng Wang
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Abstract:Double-negative acoustic metamaterials (AMMs) offer the promising ability of superlensing for applications in ultrasonography, biomedical sensing and nondestructive evaluation. Here, under the simultaneous increasing or non-increasing mechanisms, we develop a unified topology optimization framework considering the different microstructure symmetries, minimal structural feature sizes and dispersion extents of effective parameters. Then we apply the optimization framework to furnish the heuristic resonance-cavity-based and space-coiling metamaterials with broadband double negativity. Meanwhile, we demonstrate the essences of double negativity derived from the novel artificial multipolar LC and Mie resonances which can be induced by controlling mechanisms in optimization. Furthermore, abundant numerical simulations validate the double negativity, negative refraction, enhancements of evanescent waves and subwavelengh imaging for the optimized AMMs. Finally, we experimentally show the desired broadband subwavelengh imaging using the 3D-printed optimized space-coiling metamaterial. The present methodology and broadband metamaterials provide the ideal strategy of constructing AMMs for subwavelengh imaging technology.
Comments: 36pages, 13 figures, 1 appendix
Subjects: Applied Physics (physics.app-ph); Materials Science (cond-mat.mtrl-sci)
MSC classes: 74B99
Report number: Volume 172, Pages 102-120
Cite as: arXiv:1811.03228 [physics.app-ph]
  (or arXiv:1811.03228v1 [physics.app-ph] for this version)
  https://doi.org/10.48550/arXiv.1811.03228
arXiv-issued DOI via DataCite
Journal reference: Acta Materialia, 15 June 2019
Related DOI: https://doi.org/10.1016/j.actamat.2019.04.042
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Submission history

From: Yue-Sheng Wang [view email]
[v1] Thu, 8 Nov 2018 02:35:17 UTC (3,327 KB)
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