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Deep Learning for Prediction & Analysis of Thermal Errors for Efficient CNC Machining

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Deep-Learning-for-Physical-Systems

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

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Deep Learning for Prediction & Analysis of Thermal Errors for Efficient CNC Machining

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