Studies on electrospun PVDF/Silanized hyperbranched polyester of Gen-1 nanofibers as Piezo and Triboelectric nanogenerators
摘要
The growing demand for sustainable and wearable power sources demands the development of flexible energy harvesting system capable of converting ubiquitous biomechanical energy into feasible electrical energy. This study presents a novel approach to enhance the performance polyvinylidene difluoride (PVDF) based nanogenerators through the strategic incorporation of first-generation silane hyperbranched polyester (Si.HBP-G1). Varying percentages (0 to 40 wt%) of Si.HBP-G1, featuring a silane core and peripheral hydroxyl end groups were blended with PVDF to process nanofibrous mats through electrospinning. These nanofibers were utilized in fabricating piezoelectric nanogenerator (PENG) and triboelectric nanogenerator (TENG) devices. The fabricated piezoelectric nanogenerator (PENG), employing PVDF/Si.HBP-G1 nanofibers as the active layer effectively converted mechanical stress into electrical energy through the piezoelectric effect. In parallel, a triboelectric nanogenerator (TENG) was constructed using the PVDF/Si.HBP-G1 nanofiber mat as the tribonegative layer and a thermoplastic polyurethane (TPU) cast film as the tribopositive layer, operating under vertical contact–separation mode. Among the compositions studied, the blend containing 30 wt% of Si.HBP-G1 exhibited superior electrical output voltages of 6.4 V for the PENG and 44.4 V for the TENG, which is almost threefold increase compared to 1.9 V and 12.9 V for neat PVDF. The optimized TENG device successfully powered nine LEDs and generated measurable output voltages when tested at various locations on the human body, highlighting its potential for renewable energy applications and smart health monitoring systems.These findings highlight the significant role of Si.HBP-G1 in enhancing the electromechanical performance of PVDF-based nanogenerators and underscores the potential of the developed devices for self-powered wearable electronics and smart health monitoring applications.