Table of Contents
This project presents a Python-based framework designed to integrate vision-based feedback into the additive manufacturing process, enabling precise closed-loop control. By extruding conductive ink under pressure, we achieve printing resolutions down to the micrometer scale. The framework employs a proportional (P-type) controller with a linear filter to ensure high-quality prints and accuracy.
This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
Clone this GitHub repo and follow this installation guide for details.
For more details, please refer to the Documentation
The software allows testing stages, controller, printer and vision system independently.
For more details, please refer to the Documentation
- Add stage controller module
- Add pressure module
- Add P-Type controller module with linear filter
- Add camera module
- Add printer module (combines stages, controller and vision sub-system)
- Add test cases for each sub-system
- Add configuration scripts (YAML) for each sub-system
- Add test cases for each sub-system
- Add printing scripts
See the open issues for a full list of proposed features (and known issues).
Distributed under the MIT License. See LICENSE.txt for more information.
Trushant Adeshara - [email protected]
Project Link: https://github.com/your_username/repo_name
Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent