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Chaotic Attractor
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Chaotic Attractor
by Gabriela Castaneda Guzman
11/02/2022
George Mason University
Math 401: Mathematics Through 3D Printing
The print was successfully rendered on Wolfram Mathematica, and sliced through Ultimaker Cura to print on 2-filament 3D printer one being water-soluble (for support). Object was printed alongside 2 more chaotic attractors bringing the time to around 30-hour print, after rotating to reduce amount of support needed. Was later floating in water for 2.5 days after which most water-soluble filament was gone.
A chaotic or strange attractors are complex dynamical systems that show a particular sensitivity to initial conditions. As shown in code below, the initial conditions for this attractor are a = 35, b = 3, and c = 28. These initial conditions were employed as explained in “Modeling Dynamical Systems for 3D Printing” by Lucas, Sander, and Taalman. Under these conditions, this attractor has been dubbed “yet another chaotic attractor” a variation of the Lo
by Gabriela Castaneda Guzman
11/02/2022
George Mason University
Math 401: Mathematics Through 3D Printing
The print was successfully rendered on Wolfram Mathematica, and sliced through Ultimaker Cura to print on 2-filament 3D printer one being water-soluble (for support). Object was printed alongside 2 more chaotic attractors bringing the time to around 30-hour print, after rotating to reduce amount of support needed. Was later floating in water for 2.5 days after which most water-soluble filament was gone.
A chaotic or strange attractors are complex dynamical systems that show a particular sensitivity to initial conditions. As shown in code below, the initial conditions for this attractor are a = 35, b = 3, and c = 28. These initial conditions were employed as explained in “Modeling Dynamical Systems for 3D Printing” by Lucas, Sander, and Taalman. Under these conditions, this attractor has been dubbed “yet another chaotic attractor” a variation of the Lo
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