3D Printing Chaos

Year: 2018 Authors: Michael S. Gagliardo

Core claim

3D printing can visualize long-term dynamics of the Aizawa equations more directly than screen-based graphics and can be adapted to other nonlinear dynamical systems.

Topics

chaos, Aizawa equations, 3D printing, visualization, dynamical systems

Domains

nonlinear dynamical systems, ordinary differential equations, chaos theory, Lyapunov exponents, attractors, 3D printing, computational visualization, digital fabrication

Methods

numerical solving, Euler’s method, parameter variation, mesh generation, curve interpolation

Media

3D prints, Mathematica, Python, Rhino, Shapeways

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.