This project proposes a cyber-physical thermal compensation system for milling machines, leveraging IIoT, edge/cloud computing, and machine learning to predict and correct tool drift caused by thermal deformation in real time. It offers a low-cost, retrofit-friendly alternative to expensive structural redesigns, enabling enhanced precision and productivity for smart factories.
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