MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063943 A) filed by Mohanprabu Mylsamy; Sankararao Vinjavarapu; Dr. K. S. Karthi Vinith; Dr. B. Dhanasakkaravarthi; Dr. Shailendra Kumar Bohidar; and Dr. Gopala Rao Thellaputta, Chennai, Tamil Nadu, on May 20, for 'ai-driven intelligent cnc machining system with predictive optimization and adaptive process control.'
Inventor(s) include Mohanprabu Mylsamy; Sankararao Vinjavarapu; Dr. K. S. Karthi Vinith; Dr. B. Dhanasakkaravarthi; Dr. Shailendra Kumar Bohidar; and Dr. Gopala Rao Thellaputta.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven intelligent CNC machining system with predictive optimization and adaptive process control for enhancing machining precision, manufacturing efficiency, operational reliability, and energy utilization in industrial production environments. The system comprises a CNC machining unit integrated with a multi-sensor monitoring framework, AI-based predictive analytics engine, adaptive machining optimization controller, predictive maintenance subsystem, digital twin simulation platform, automated quality inspection module, and cloud-enabled industrial communication interface. Real-time operational data including spindle vibration, thermal conditions, acoustic emissions, cutting forces, tool wear characteristics, and machine health parameters are continuously acquired and analyzed using machine learning algorithms to predict failures, identify machining anomalies, and dynamically optimize machining parameters such as spindle speed, feed rate, cutting depth, coolant flow, and machining trajectories. The invention further enables predictive maintenance scheduling, thermal compensation, vibration suppression, intelligent energy management, and automated defect detection for improving production quality and reducing machine downtime. The disclosed system supports Industrial Internet of Things integration and cloud-based industrial analytics for remote monitoring, predictive production planning, and centralized manufacturing management, thereby providing an advanced intelligent machining solution suitable for smart factory and Industry 4.0 applications."
Disclaimer: Curated by HT Syndication.
