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https://doi.org/10.61782/fa.20...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Computational Characterization of Functionally Graded Porous Absorbers Based on Triply Periodic Minimal Surfaces (TPMS)

Authors: Guan, Xueying; Yang, Jieun; Deckers, Elke; Hornikx, Maarten;

Computational Characterization of Functionally Graded Porous Absorbers Based on Triply Periodic Minimal Surfaces (TPMS)

Abstract

Triply periodic minimal surfaces (TPMS), a class of periodic implicit surface with zero mean curvature, are emerging as an excellent solution to create graded porous structures. The grading of a porous layer can enhance and broaden the acoustic absorption in a target frequency range. The porosity gradient within the TPMS structure can be precisely controlled by a mathematical function, straightforwardly allowing for optimization towards the desired absorption. As the first step of the optimization procedure, we present a computational approach to determine acoustic absorption properties of functionally graded TPMS porous structures: the transport parameters of a rigid-frame homogeneous TPMS porous absorber are found by the finite element simulations of three static problems, then the absorption coefficient of the TPMS porous structure with graded porosity along the thickness is calculated with the transfer matrix method. The presented approach is validated by direct numerical simulations of the same porous structure.

Countries
Netherlands, Belgium
Keywords

TPMS, Periodic porous material, sound absorption, homogenization, porosity grading, TMM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
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