Nonlinear electrical output enhancement via compositional matching in ZnO nanorod-PVDF/CB-PDMS hybrid
Yu Jin Lee1,2, Se Eun Lee1,2, Keun-Young Shin1,2
1Department of Convergence of Energy Policy and Technology, Soongsil University 369, Sangdo-ro, Dongjak-gu, Seoul 06978, Republic of Korea. skykek@ssu.ac.kr.
Abstract:
An integrated piezoelectric-triboelectric hybrid nanogenerator is developed through vertical integration of electrospun zinc oxide (ZnO) nanorod-embedded poly(vinylidene fluoride) (PVDF) nanofibers and a microstructured carbon black/polydimethylsiloxane (CB/PDMS) composite layer. The incorporation of one-dimensional ZnO nanorods promotes the formation of the electroactive β-phase in PVDF nanofibers, enhancing strain-induced polarization under mechanical deformation. Meanwhile, the microstructured CB/PDMS layer facilitates regulated charge transport and stabilized electrostatic conditions during contact-separation cycles through optimized CB percolation. Systematic compositional tuning of ZnO nanorod content and CB loading establishes clear correlations among the β-phase fraction, relative permittivity, peak-to-peak output voltage, and peak power density. The optimized device achieves 37.28 V and a peak power density of 34.75 μW cm-2, significantly exceeding individual piezoelectric and triboelectric outputs. A hybrid coupling enhancement factor is introduced to quantify nonlinear voltage amplification beyond linear superposition, revealing synergistic performance enabled by compositional matching; the observed 3.65-fold enhancement in peak power density relative to the sum of individual contributions further corroborates the nonlinear electrodynamic coupling. The enhanced response is interpreted within a displacement-current framework derived from the Maxwell-Ampère law, demonstrating field-mediated coupling between triboelectric and piezoelectric mechanisms. This work establishes a rational materials design strategy for synergistic performance enhancement in flexible hybrid nanogenerators for mechanical energy harvesting and self-powered sensing applications.


