This project is a Python-based Jupyter Notebook that simulates an AI-optimized hybrid gas blending system using helium and substitute gases (Neon, Argon, Hydrogen).
- Calculates optimal gas blends based on:
- Thermal conductivity
- Cost ($/m³)
- Inertness / safety profile
- Interactive sliders to explore trade-offs in real-time
- Visual output: pie charts and bar plots for performance metrics
| Gas | Thermal Conductivity (W/m·K) | Cost ($/m³) | Inertness Score |
|---|---|---|---|
| He | 0.1513 | 30.0 | 10 |
| Ne | 0.0491 | 20.0 | 10 |
| Ar | 0.0177 | 2.5 | 10 |
| H₂ | 0.1805 | 1.5 | 3 |
- Open the notebook in Google Colab
- Upload
Smart_Helium_Blend_Simulator_GitHubReady.ipynb - Run all cells and adjust the sliders to see results
MIT License