FluxLab: Creating 3D Printable Shape-Changing Devices with Integrated Deformation Sensing

TL;DR

FluxLab introduces a comprehensive system for designing and creating 3D-printed shape-changing devices with integrated deformation sensing, combining innovative structural design, user-friendly editing tools, and machine learning-based deformation classification.

Contribution

The paper presents a novel integrated design and fabrication system for customizable 3D printable shape-changing devices with embedded deformation sensing and control capabilities.

Findings

Successful creation of various shape-changing prototypes

Effective deformation classification using machine learning

Compatibility with consumer-grade 3D printers

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.