Controlling 3D Printers with Artificial Neural Networks Frank - PowerPoint PPT Presentation

Nov 17, 2022 •129 likes •366 views

Controlling 3D Printers with Artificial Neural Networks Frank Chiarulli Jr. Advisor: John Rieffel Linear Instructions (G-Code) EvoFab 0.3 System Input layer Hidden Layer(s) Output Layer Pipe Dream EvoFab 0.3 System Alas, 3D printers are

Controlling 3D Printers with Artificial Neural Networks Frank Chiarulli Jr. Advisor: John Rieffel
Linear Instructions (G-Code)
EvoFab 0.3 System
Input layer Hidden Layer(s) Output Layer
Pipe Dream
EvoFab 0.3 System
Alas, 3D printers are slow, so simulation!
Modeling Noise: Sensor Data
Modeling Noise: Motor & Belt Noise Empirical Models Observed printer during linearly instructed test prints Captured video via Overhead webcam Multiple trials
The Problem
Printer Simulator
Control Traditional Linear Instructions Go left, right, up, down, etc, for X number of steps
What we have? A fully functional 3D printer capable of running on our ANN A simulation of the current state of our 3D printer A Model of the noise of our physical system Preliminary findings that suggest that ANNs can perform as well as linear instructions
Where from here? Increase the input data of the neural network Looking into different types of optimization Are GAs the right choice? Physical trials, are we over/under complicating the simulation More nuanced fitness functions?
Questions?

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