BEGIN:VCALENDAR VERSION:2.0 PRODID:-//linuxsoftware.nz//NONSGML Joyous v1.4//EN BEGIN:VEVENT SUMMARY:_Flexible triboelectric nanogenerators for a self-charging system in mobile electronics DTSTART:20260113T133000Z DTEND:20260113T150000Z DTSTAMP:20260802T200709Z UID:6ecb29f3-7da9-4c65-8c45-cd7202248356 SEQUENCE:2 CREATED:20251119T115354Z DESCRIPTION:Triboelectric nanogenerators (TENGs) have emerged as versatile and scalable solutions for mechanical energy harvesting and self-powered sensors in wearable systems and smart textiles. By converting low-frequenc y biomechanical movements into usable electrical energy\, TENGs show great potential for applications in sustainable electronics\, health monitoring \, and human– machine interfaces. However\, developing materials and fab rication processes that combine high performance\, flexibility\, environme ntal stability\, and scalability remains a challenge. This thesis investig ates the use of graphene-based materials and aqueous-phase processing tech niques for the fabrication of flexible\, textile-compatible TENGs integrat ed into self-powered sensor platforms. Special emphasis is placed on susta inable manufacturing methods\, such as printing and solution-based process ing\, as well as the development of graphene electrode solutions suitable for integration into flexible and textile technologies. In the first part\ , aqueous graphene solutions were used to fabricate TENGs through simple a nd scalable methods\, resulting in devices with promising electrical perfo rmance and good stability. In the second stage\, graphene electrodes were directly printed onto textiles\, enabling their conformable integration in to garments. These devices demonstrated reliable performance under bending and repeated mechanical deformation\, proving effective for real-time bio mechanical monitoring. In the third phase\, multimodal triboelectric senso rs were developed and embedded in smart textiles\, capable of detecting di fferent types of human motion—such as extension\, bending\, and sliding —within a single device architecture. This multimodal capability was ach ieved through strategic textile structural design combined with a wireless data transmission system. Overall\, this work contributes to the advancem ent of smart textiles and sustainable wearable electronics by proposing ec o-friendly graphene-based TENGs produced through scalable methods\, with p otential applications in energy harvesting and physiological monitoring. LAST-MODIFIED:20251119T115404Z LOCATION:Anfiteatro PA-3 (Piso -1 do Pavilhão de Matemática) do IST URL:http://df.vps.tecnico.ulisboa.pt/pt/eventos/_flexible-triboelectric-na nogenerators-for-a-self-charging-system-in-mobile-electronics/ X-ALT-DESC;FMTTYPE=text/html:

Triboelectric nanog enerators (TENGs) have emerged as versatile and scalable solutions for mec hanical energy harvesting and self-powered sensors in wearable systems and smart textiles. By converting low-frequency biomechanical movements into usable electrical energy\, TENGs show great potential for applications in sustainable electronics\, health monitoring\, and human– machine interfa ces. However\, developing materials and fabrication processes that combine high performance\, flexibility\, environmental stability\, and scalabilit y remains a challenge.

This thesis investigates the use of graph ene-based materials and aqueous-phase processing techniques for the fabric ation of flexible\, textile-compatible TENGs integrated into self-powered sensor platforms. Special emphasis is placed on sustainable manufacturing methods\, such as printing and solution-based processing\, as well as the development of graphene electrode solutions suitable for integration into flexible and textile technologies. In the first part\, aqueous graphene so lutions were used to fabricate TENGs through simple and scalable methods\, resulting in devices with promising electrical performance and good stabi lity.

In the second stage\, graphene electrodes were directly pr inted onto textiles\, enabling their conformable integration into garments . These devices demonstrated reliable performance under bending and repeat ed mechanical deformation\, proving effective for real-time biomechanical monitoring. In the third phase\, multimodal triboelectric sensors were dev eloped and embedded in smart textiles\, capable of detecting different typ es of human motion—such as extension\, bending\, and sliding—within a single device architecture.

This multimodal capability was achie ved through strategic textile structural design combined with a wireless d ata transmission system. Overall\, this work contributes to the advancemen t of smart textiles and sustainable wearable electronics by proposing eco- friendly graphene-based TENGs produced through scalable methods\, with pot ential applications in energy harvesting and physiological monitoring.

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