仿生骨骼結構可撓式熱管之設計最佳化

本研究提出一種應用於可撓式電子產品之仿生骨骼結構可撓式熱管設計，適用於折疊式手機、折 疊式平板等新世代高彎曲需求裝置。該熱管在結構上可實現超過 90°之彎折能力，同時維持良好之熱傳效能。為解決彎曲區域毛細力衰減問題，本研究利用微波電漿火炬技術製備石墨烯材料，並調製為石墨烯奈米流體導入熱管系統中。藉由降低工作流體與固體界面之接觸角，有效提升毛細驅動能力與最大熱傳輸容量。此外，本研究導入隨機森林人工智慧模型進行參數最佳化分析，建立結構設計與熱傳性能間之關聯模型，以提升整體散熱效率與彎曲穩定性。實驗與模型分析結果顯示，所提出之仿生可撓式熱管具備高彎曲適應性與優異熱傳表現，具高度應用潛力。

Flexible electronics, including foldable smartphones and tablets, demand thermal management systems that can sustain large mechanical deformation without compromising heat transfer performance. Here, we present a biomimetic skeletal-structured flexible heat pipe capable of bending beyond 90° while maintaining efficient thermal transport. To mitigate capillary degradation at bending regions, graphene synthesized via a microwave plasma torch process was formulated into graphene-based nanofluids and integrated as the working medium within the heat pipe. The incorporation of graphene nanofluids reduces the liquid–solid interfacial contact angle, thereby enhancing capillary driving force and increasing the maximum heat transfer capacity. Furthermore, a random forest-based artificial intelligence model was employed to optimize key structural and operational parameters, establishing a data-driven correlation between biomimetic architecture and thermal performance. The combined materials innovation and machine-learning-assisted optimization demonstrate a mechanically resilient and thermally efficient flexible heat pipe, offering a scalable thermal solution for next-generation deformable electronic systems.