Skip to main content
City University of Hong Kong researchers have developed 3D-printed biomimetic smart materials inspired by sea urchin spines that generate voltage from water flow.
Technology
1 min read

City University of Hong Kong researchers have developed 3D-printed biomimetic smart materials inspired by sea urchin spines that generate voltage from water flow.

Originally reported by bolsamania.com

City University of Hong Kong researchers have developed 3D-printed biomimetic smart materials inspired by sea urchin spines that generate voltage from water flow. By using vat photopolymerization to replicate natural gradient porous structures, the team achieved a 3x increase in voltage output and 8x higher signal amplitude compared to standard designs. This breakthrough proves that additive manufacturing can embed self-sensing capabilities directly into a material's topology, eliminating the need for external batteries. These mechanoelectrical materials signal a shift toward integrated structural-functional systems for autonomous marine and aerospace monitoring. 🌊🔋 #AdditiveManufacturing #3DPrinting #SmartMaterials #Biomimetics

Read Original

How This Connects

5 related events
  1. Same pattern

    UNIST researchers have developed Dispensing Volumetric Additive Manufacturing (DVAM), a method capable of producing parts at a rate of one per minute.

  2. Same pattern

    Sandia National Laboratories and Savannah River National Laboratory have introduced Lithographic Crystallinity Regulation in Additive Fabrication of Thermoplastics (CRAFT), a light...

  3. This article

    City University of Hong Kong researchers have developed 3D-printed biomimetic smart materials inspired by sea urchin spines that generate voltage from water flow.

  4. Same pattern

    Tsinghua University has set a new benchmark in volumetric additive manufacturing with DISH technology.

  5. Same pattern

    MIT has unveiled a computational framework to 3D print soft, woven metamaterials with internal fiber architectures.

  6. Same pattern

    The μRepRap project has achieved 10-micron feature sizes for under $300, matching the scale of early microprocessors.