FluxLab: Creating 3D Printable Shape-Changing Devices with Integrated Deformation Sensing
Hsuanling Lee, Jiakun Yu, Shurui Zheng, Te-Yan Wu, Liang He
TL;DR
FluxLab addresses the challenge of creating 3D-printed shape-changing devices with integrated deformation sensing by introducing FluxIO, a three-layer architectural design that nests an SMA-based actuator/sensor channel inside a gyroid padding lattice and a parallel helix surface framework. The system includes FluxEditor for converting models and tuning elasticity and deformation behavior, along with FluxShaper for generating ML-based classifiers that recognize deformation from inductive sensing. Through a workflow that culminates in post-print SMA installation and ML deployment, FluxLab enables rapid prototyping of interactive devices, demonstrated by examples such as a self-deformable steamer clip, remotely controllable gripper, and kids’ desk lamp. The work offers a reproducible framework for integrating actuation and sensing via structural design, with implications for accessible, printable shape-changing interfaces, while outlining limitations and directions for broader material choices, multi-part designs, and non-expert usability.
Abstract
We present FluxLab, a system comprising interactive tools for creating custom 3D-printable shape-changing devices with integrated deformation sensing. To achieve this, we propose a 3D printable nesting structure, consisting of a central SMA channel for sensing and actuation, lattice-based padding in the middle for structural support and controllable elasticity, and parallel helix-based surface wires that preserve the overall form and provide anchoring struts for guided deformation. We developed a design editor to embed these structures into custom 3D models for printing with elastic silicone resin on a consumer-grade SLA 3D printer and minimal post-printing assembly. A deformation authoring tool was also developed for users to build a machine learning-based classifier that distinguishes desired deformation behaviors using inductive sensing. Finally, we demonstrate the potential of our system through example applications, including a self-deformable steamer bowl clip, a remotely controllable gripper, and an interactive desk lamp.
