MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202611083980 A) filed by Manipal University Jaipur on July 08, 2026, for Ai-Enabled Self-Monitoring Smart Lathe System For Predictive Tool Condition Monitoring.
Inventor includes Dr Shyam Sunder Sharma.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: The present invention provides an AI-enabled self-monitoring smart lathe system (100) for predictive tool condition monitoring. The system (100) comprises a lathe machine unit (110), a multi-sensor array (120) including vibration, temperature, acoustic emission, spindle load and tool wear sensors, a microcontroller-based data acquisition unit (140) for signal conditioning and feature extraction, an AI-based predictive analytics module (150) employing trained machine learning algorithms for tool condition classification and remaining useful life prediction, a wireless IoT communication module (160), a cloud-based monitoring dashboard (170), an adaptive feed control system (180) for automatic machining parameter adjustment and an alert and notification system (190). The system is retrofit-compatible with existing lathe machines and supports Industry 4.0 integration
Disclaimer: Curated by HT Syndication.
