Extreme environment-resistant high performance triboelectric nanogenerator for energy harvesting and self-powered positioning system
Source abstract
Abstract
Ensuring the effectiveness of triboelectric devices under extreme environmental temperatures is essential for the global implementation of TENG-driven self-powered electronics in various regions worldwide, but achieving this is substantial challenging. In this work, a thermally stable and flexible PVDF-HFP/SEBS (PH S S O ) composite membrane doped with stearic acid (SA) and octanoic acid (OA) is constructed by the method of electrostatic spraying-assisted electrospinning. Compared with the original PHS membrane, the PH S S O membrane not only exhibits enhanced triboelectric output ( V oc , I sc , and Q sc increased by 61.48 %, 77.11 %, and 46.16 % respectively), but also maintains a relatively stable triboelectric output from room temperature to a high-temperature environment of 60°C, highlighting its remarkable reliability and stable power supply capability. Furthermore, the fabricated PH S1.5 S O1.5 triboelectric membrane exhibits outstanding hydrophobicity , flexibility, stretchability, and cyclic stability. These qualities render PH S1.5 S O1.5 based TENG to be an appealing self-powered positioning device, offering critical data such as time and location to adventurers and scientists operating in extreme Earth environments, thereby ensuring their safety. In summary, this study has developed a triboelectronegative fibrous membrane materials with excellent overall performance, which to some extent ensures the effective operation of TENG-driven self-powered devices in extreme temperature environments, providing good feasibility and successful case for applications in energy harvesting and human-machine interaction fields under harsh environments.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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