Optimization of the Sound Absorption Coefficient (SAC) from Cellulose-Silica Aerogel Using the Box-Behnken Design. [PDF]
Silviana S +3 more
europepmc +1 more source
Inspired by the intricate microstructure of cicada wings, researchers developed a novel in situ skeleton‐graphene membrane architecture within lightweight foams. This bioinspired design dramatically enhances multifunctional performance: vibration attenuation time decreases by ∼83.3%, damping capacity increases by ∼179.3%, and compressive modulus rises ...
Jigang Feng +6 more
wiley +1 more source
Correction to "Optimization of the Sound Absorption Coefficient (SAC) from Cellulose-Silica Aerogel Using the Box-Behnken Design". [PDF]
Silviana S +3 more
europepmc +1 more source
Surface and Interfacial Engineering toward Durable Mechanically Coupled Flexible Electronics
This Review highlights how surface and interfacial engineering governs the reliability, durability, and functional stability of mechanically coupled flexible electronics. By integrating fundamental interfacial theory, failure mechanisms, multiscale engineering strategies, and representative applications, it provides a design‐oriented framework for ...
Qian Wang, Fangfang Dai, Wei Wu
wiley +1 more source
In this paper fundamental sound absorption characteristics of expanded polystyrene beads with several geometries are reported when they are packed in some thick layers with and without back air space.
Shuichi SAKAMOTO +4 more
doaj +1 more source
Prediction of the Sound Absorption Coefficient of Three-Layer Aluminum Foam by Hybrid Neural Network Optimization Algorithm. [PDF]
Mi H +6 more
europepmc +1 more source
Maximum Sound Absorption Coefficient of a Fiber Assembly
To determine the most suitable porosity of a fiber assembly used as a sound absorbent, we measured the sound absorption coefficients of fiber assemblies having air spaces behind them by the standing wave method and investigated their sound absorption characteristics.
Aso, S, Kinoshita, R
openaire +3 more sources
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Estimation of the Acoustic Properties of the Random Packing Structures of Granular Materials: Estimation of the Sound Absorption Coefficient Based on Micro-CT Scan Data. [PDF]
Sakamoto S, Suzuki K, Toda K, Seino S.
europepmc +1 more source
Sound absorption coefficients and acoustical design
Third International Congress on Acoustics ...
Northwood, T. D., Balachandran, C. G.
openaire +1 more source

