Acoustic characterization of nanofibers for optimization with porous substrate

Nanofiber-porous systems comprising a porous substrate overlaid with nanofiber weave offer the potential for higher acoustic absorption than the substrate alone with negligible increase in thickness. The characterization of nanofibers from acoustic measurements is investigated in this work, and a regression model for predicting their acoustic properties from a single physical parameter is proposed to enable the design of nanofiber-porous systems directly from fabrication parameters. Characterization as a resistive screen via Johnson-Champoux-Allard and lumped element models for transfer matrix computations of absorption coefficient for nanofiber-porous systems exhibited good agreement with the measured spectra. The lumped element model was chosen as it was defined by fewer parameters and did not require nanofiber layer thickness measurements, eliminating the associated uncertainty. A regression model for lumped element parameters vs areal density established a design tool based on a single, easily measured physical property for optimized absorption at target frequencies without prior acoustic characterization of the nanofiber layer, enabling the analysis of complex acoustic networks incorporating nanofiber-porous systems. Practical considerations of applying adhesives at the nanofiber-porous interface were studied to evaluate possible enhancement of acoustic performance. For comparison with prior work by others, flow resistances from physical measurement and acoustic characterization were compared.