MRS Meetings and Events

 

MD02.07.12 2023 MRS Spring Meeting

Numerical Investigation of Using Mechanical Metamaterial as a Broadband Microwave Absorber

When and Where

Apr 13, 2023
5:00pm - 7:00pm

Moscone West, Level 1, Exhibit Hall

Presenter

Co-Author(s)

Daniel Lim1,Sangryun Lee2,Jeong-ho Lee1,Wonjoon Choi3,Grace Gu1

University of California, Berkeley1,Ewha Womans University2,Korea University3

Abstract

Daniel Lim1,Sangryun Lee2,Jeong-ho Lee1,Wonjoon Choi3,Grace Gu1

University of California, Berkeley1,Ewha Womans University2,Korea University3
<br/>A porous structure composed of lossy materials enables advanced microwave absorption compared with non-porous material owing to its improved impedance matching and multiple internal reflection. Optimizing the internal geometry of lossy material-based porous structures leads to the active control of microwave absorption for desired target operating ranges while the mechanical strength and stiffness can be secured for practical applications. It has been shown that introducing porous, strong, and stiff mechanical metamaterial with a low density as a microwave absorber has a high potential to create a new kind of broadband absorber satisfying both the electromagnetic and mechanical requirements. So far, empirical approaches were employed to investigate the wave absorption characteristic of materials.There is currently a lack of understanding of the underlying physics of geometric features such as lattice structure, volume fraction, or unit cell length. Furthermore, there are challenges in exploring myriad input variables and visualizing the electromagnetic fields interacting with the structure.<br/>Here, we investigate the effect of the geometric feature of the mechanical metamaterial on microwave absorption, using the microwave simulation using finite element analysis. By varying geometric features such as volume fraction, unit cell length, and lattice type of different mechanical metamaterials (octet-truss, body-centered cubic, cubic foam, and octet foam), we define different absorption mechanisms depending on the structural adjustments. The central finding is that low-density unit-cell (5-20% relative density) absorbs microwaves better than high-density structure, because microwaves going through more porous material enables impedance matching and improved internal multiple scattering effects. When the thickness of the whole structures is varied by changing the unit cell length of the mechanical metamaterial, different lattice structures show a similar response regardless of the lattice types at the subwavelength scale. Meanwhile, when the size of the total thickness of the structure is larger than the incident wavelength, it results in major variance in absorbance with different mechanisms based on the lattice type. Lastly, broadband microwave response (4-18 GHz) under the fixed unit cell length is examined to elucidate different microwave absorption mechanisms depending on lattice structures such as strut-based and facet-based geometries. This work can pave the way for expanding mechanical metamaterial as a broadband microwave absorber by defining the correlation between the geometric feature to the microwave absorption.

Keywords

absorption

Symposium Organizers

Soumendu Bagchi, Los Alamos National Laboratory
Huck Beng Chew, The University of Illinois at Urbana-Champaign
Haoran Wang, Utah State University
Jiaxin Zhang, Oak Ridge National Laboratory

Symposium Support

Bronze
Patterns and Matter, Cell Press

Session Chairs

Soumendu Bagchi
Haoran Wang

In this Session

MD02.07.01
Automated Defect Analysis of CdSe Nanoparticles through Supervised Learning with Large Simulated Databases

MD02.07.02
STEM Image Analysis Based on Deep Learning—Identification of Vacancy of Defects and Polymorphs of MoS2

MD02.07.03
Beyond Single Molecules: Intermolecular Interference Effects

MD02.07.04
Insight into the Reactivity of Electrocatalytic Glycerol Oxidation—The Strength of the Hydroxyl Group Bonding on Surface

MD02.07.05
Ripplocation Boundaries and Kink Boundaries in Layered Solids

MD02.07.06
Data-Driven Electrode Optimization for Vanadium Redox Flow Battery by Reduced Order Model

MD02.07.07
Application of Baysian Super Resolution to Spectroscopic Data Analysis

MD02.07.08
A Workflow to Track Time-Resolved Dislocation Behavior in High Temperature Aluminum

MD02.07.09
Investigation of Solidification in Supercooled Water Drops using Large Data Sets of Synchronized Optical Images and X-ray Diffraction Patterns

MD02.07.10
Characterizing Dislocations by formulating the Invisibility Criterion for DFXM

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Publishing Alliance

MRS publishes with Springer Nature