Literature DB >> 33984173

Microlattice Metamaterials with Simultaneous Superior Acoustic and Mechanical Energy Absorption.

Xinwei Li1, Xiang Yu2, Jun Wei Chua1, Heow Pueh Lee1, Jun Ding3, Wei Zhai1.   

Abstract

The advent of 3D printing brought about the possibilities of microlattice metamaterials as advanced materials with the potentials to surpass the functionalities of traditional materials. Sound absorbing materials which are also tough and lightweight are of particular importance as practical engineering materials. There are however a lack of attempts on the study of metamaterials multifunctional for both purposes. Herein, we present four types of face-centered cubic based plate and truss microlattices as novel metamaterials with simultaneous excellent sound and mechanical energy absorption performance. High sound absorption coefficients nearing 1 and high specific energy absorption of 50.3 J g-1 have been measured. Sound absorption mechanisms of microlattices are proposed to be based on a "cascading resonant cells theory", an extension of the Helmholtz resonance principle that we have conceptualized herein. Characteristics of absorption coefficients are found to be essentially geometry limited by the pore and cavity morphologies. The excellent mechanical properties in turn derive from both the approximate membrane stress state of the plate architecture and the excellent ductility and strength of the base material. Overall, this work presents a new concept on the specific structural design and materials selection for architectured metamaterials with dual sound and mechanical energy absorption capabilities.
© 2021 Wiley-VCH GmbH.

Keywords:  3D printing; energy absorption; finite element modelling; microlattices; sound absorption

Year:  2021        PMID: 33984173     DOI: 10.1002/smll.202100336

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  3 in total

Review 1.  Additively Manufactured Hierarchical Auxetic Mechanical Metamaterials.

Authors:  Ekaterina Mazur; Igor Shishkovsky
Journal:  Materials (Basel)       Date:  2022-08-15       Impact factor: 3.748

Review 2.  A Review of Performance Prediction Based on Machine Learning in Materials Science.

Authors:  Ziyang Fu; Weiyi Liu; Chen Huang; Tao Mei
Journal:  Nanomaterials (Basel)       Date:  2022-08-26       Impact factor: 5.719

Review 3.  Architected Materials for Additive Manufacturing: A Comprehensive Review.

Authors:  Nikolaos Kladovasilakis; Konstantinos Tsongas; Dimitris Karalekas; Dimitrios Tzetzis
Journal:  Materials (Basel)       Date:  2022-08-26       Impact factor: 3.748

  3 in total

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