Wave-Tunable Smart Acoustic Material
Texas A&M, College Station + Autodesk Technology Center, San Francisco.
Collaborators: Negar Kalantar, Anastasia Muliana, Ali Farajmandi & Alireza Borhani
Grant: National Science Foundation (NSF)
Collaborators: Negar Kalantar, Anastasia Muliana, Ali Farajmandi & Alireza Borhani
Grant: National Science Foundation (NSF)
This project leverages 3D-printed shape-memory polymers applied to distributed locations on kerf-patterned panels,
enabling precise activation and transformation. The shape-memory polymers induce localized deformation, allowing the
panels to dynamically reconfigure their topology in response to environmental stimuli. This innovation enhances the
adaptive capabilities of the kerf panels, impacting their structural and acoustic properties. The approach provides a
scalable, efficient method for creating transformable surfaces with applications in room acoustics and dynamic
architectural systems.
enabling precise activation and transformation. The shape-memory polymers induce localized deformation, allowing the
panels to dynamically reconfigure their topology in response to environmental stimuli. This innovation enhances the
adaptive capabilities of the kerf panels, impacting their structural and acoustic properties. The approach provides a
scalable, efficient method for creating transformable surfaces with applications in room acoustics and dynamic
architectural systems.
Combining kerted wood with Shape Memory Palymer (SMP) to create self-adjusting surfaces that respond to specific acoustic needs.
Adaptive Acoustic Application:
