Deep Learning for Prediction & Analysis of Thermal Errors for Efficient CNC Machining
This project was a part of our Deep Learning course at IIT Ropar. We predicted and analysed the thermal errors to make CNC machining more efficient. Libraries used: scipy, sklearn, seaborn, keras; Techniques applied: PCA, KMeans, Neural Networks, Regression- Linear and Polynomial, Correlation clustering; Additional Research: Research papers, Mechanical Engineering course books
The Project Presentation and Python code has been added as a file in this repository.
Team Members: Ashwin Goyal, Ashutosh Garg, Ayush Agarwal Project Supervisor: Dr. Manish Aggarwal Institution: Indian Institute of Technology (IIT) Ropar