Evolutionary Optimized 3D WiFi Antennas Manufactured via Laser Powder Bed Fusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63564678" target="_blank" >RIV/70883521:28140/23:63564678 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10302267" target="_blank" >https://ieeexplore.ieee.org/document/10302267</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2023.3328852" target="_blank" >10.1109/ACCESS.2023.3328852</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary Optimized 3D WiFi Antennas Manufactured via Laser Powder Bed Fusion

Popis výsledku v původním jazyce

The swift and automated design of antennas remains a challenging aspect in research dueto the specific design needs for individual applications. Alterations in resonance frequency or boundaryconditions necessitate time-consuming re-designs. Though the application of evolutionary optimization andgenerative methods in general to antenna design has seen success, it has been mostly restricted to twodimensional structures. In this work, we present an approach for designing three-dimensional antennas usinga genetic algorithm coupled with a region-growing algorithm - to ensure manufacturability - implementedin Matlab manufactured via laser powder bed fusion (LPBF). As a simulation tool for optimization CSTis used. The antenna has been optimized in a completely automated manner and was produced using themetal 3D printing technology LPBF and aluminium based AlSi10Mg powder. The presented concept, whichbuilds upon previous two-dimensional techniques, allows for significant flexibility in design, adapting tochanging boundary conditions, and avoiding the geometric restrictions seen in prior methods. The optimizedantenna has a size of 3.01 cm × 3.43 cm × 1.67 cm and was measured in an anechoic chamber. According tomeasurements a minimum reflection coefficient of −19.95 dB at 2.462 GHz and a bandwidth of 308.8 MHzare observed. CST simulation results predict an efficiency of 98.91 % and the maximum antenna gain ismeasured at 2.45 GHz to be 3.27 dBi. Simulations made with CST and Ansys HFSS and measurements arein excellent agreement with a deviation of the resonance frequency of only 0.13 %, thus further establishinggenetic algorithms as a highly viable option for the design of novel antenna structures.

Název v anglickém jazyce

Evolutionary Optimized 3D WiFi Antennas Manufactured via Laser Powder Bed Fusion

Popis výsledku anglicky

The swift and automated design of antennas remains a challenging aspect in research dueto the specific design needs for individual applications. Alterations in resonance frequency or boundaryconditions necessitate time-consuming re-designs. Though the application of evolutionary optimization andgenerative methods in general to antenna design has seen success, it has been mostly restricted to twodimensional structures. In this work, we present an approach for designing three-dimensional antennas usinga genetic algorithm coupled with a region-growing algorithm - to ensure manufacturability - implementedin Matlab manufactured via laser powder bed fusion (LPBF). As a simulation tool for optimization CSTis used. The antenna has been optimized in a completely automated manner and was produced using themetal 3D printing technology LPBF and aluminium based AlSi10Mg powder. The presented concept, whichbuilds upon previous two-dimensional techniques, allows for significant flexibility in design, adapting tochanging boundary conditions, and avoiding the geometric restrictions seen in prior methods. The optimizedantenna has a size of 3.01 cm × 3.43 cm × 1.67 cm and was measured in an anechoic chamber. According tomeasurements a minimum reflection coefficient of −19.95 dB at 2.462 GHz and a bandwidth of 308.8 MHzare observed. CST simulation results predict an efficiency of 98.91 % and the maximum antenna gain ismeasured at 2.45 GHz to be 3.27 dBi. Simulations made with CST and Ansys HFSS and measurements arein excellent agreement with a deviation of the resonance frequency of only 0.13 %, thus further establishinggenetic algorithms as a highly viable option for the design of novel antenna structures.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

neuveden

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

"121914 "- 121923

Kód UT WoS článku

001102104300001

EID výsledku v databázi Scopus

2-s2.0-85176743545