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Proceedings Paper

Foam metal metamaterial panel for mechanical waves isolation
Author(s): Lei Hua; Hongwei Sun; Jinliang Gu
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Paper Abstract

This paper presents modeling, analysis techniques and experiment of foam metal metamaterial panel for Broadband Vibration Absorption. For a unit cell of an infinite foam metal metamaterial panel, governing equations are derived using the extended Hamilton principle. The concepts of negative effective mass and stiffness and how the spring-mass-damper subsystems create a stopband are explained in detail. Numerical simulations reveal that the actual working mechanism of the proposed metamaterial panel is based on the concept of conventional mechanical vibration absorbers. It uses the incoming elastic wave in the panel to resonate the integrated membrane-mass-damper absorbers to vibrate in their optical mode at frequencies close to but above their local resonance frequencies to create shear forces and bending moments to straighten the panel and stop the wave propagation. Moreover, a two-dimension acoustic foam metal metamaterial panel consisting of lumped mass and elastic membrane is proposed in the lab. We do experiments on the model and The results validate the concept and show that, for two-dimension acoustic foam metal metamaterial panel do exist two vibration modes. For the wave absorption, the mass of each cell should be considered in the design. With appropriate design calculations, the proposed two-dimension acoustic foam metal metamaterial panel can be used for absorption of low-frequency waves and hence expensive micro-manufacturing techniques are not needed for design and manufacturing of such foam metal metamaterial panel for low-frequency waves absorption/isolation.

Paper Details

Date Published: 13 May 2016
PDF: 8 pages
Proc. SPIE 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016, 98021R (13 May 2016); doi: 10.1117/12.2219470
Show Author Affiliations
Lei Hua, Jiangsu Automation Research Institute (China)
Hongwei Sun, Jiangsu Automation Research Institute (China)
Jinliang Gu, Jiangsu Automation Research Institute (China)


Published in SPIE Proceedings Vol. 9802:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016
Vijay K. Varadan, Editor(s)

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