This project explores how Python-based automation and G-code workflows can be used as a practical, hands-on way to teach CNC and manufacturing concepts.
The Problem
CNC and manufacturing concepts are often taught abstractly, disconnected from the code and workflows engineers actually work with, leaving a gap between theory and practical CNC operation.
Objectives
Approach
Python scripts handle G-code generation and workflow automation, with the resulting data used to connect abstract CNC concepts to observable machine behaviour.
Development
Development has focused on the Python automation layer and the G-code workflows it produces and manages.
Testing
Workflows are being tested against CNC milling operations to confirm generated G-code behaves as expected.
This research and its supporting tooling are in active development.
What’s Next
Planned work includes expanding the automation library and developing structured learning exercises built on top of it.
Hotspot Management System
A hotspot management system featuring voucher authentication, internet packages, active-session monitoring and shared bandwidth allocation across multiple access points.
Engineering AI Research
Applying artificial intelligence and data-driven methods to monitor equipment condition, predict faults before they occur, and support maintenance decision-making on CNC machine tools.
Energy Systems & Thermodynamics Research
Thermodynamic optimization of energy systems, including working-fluid selection and heat-recovery configuration for industrial applications.
If a project you're working on overlaps with any of this, I'd like to hear about it.