MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123877 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy College Of Engineering And; Technology; Malla Reddy Vishwavidyapeeth; Malla Reddy University; and Malla Reddy Engineering College For Women, Medchal-Malkajgiri, Telangana, on Dec. 9, 2025, for 'ai controlled lubrication optimization system for cnc machines.'
Inventor(s) include Dr. S. Udaya Bhaskar; Mr. K. Srinivasa Rao; Dr. U. Mohan Srinivas; Dr. Shaik. Hussain; and Dr. D. S. Chandra Mouli.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The current invention reveals a smart, intelligent, adaptable lubrication control system specifically in Computer Numerical Control (CNC) machining centers. The most prevalent lubrication techniques used in CNC operations are traditional lubrication techniques that depend on either continuous flood cooling or Minimum Quantity Lubrication (MQL) which is usually a timer-based system. The traditional methods do not consider the real time variations of the cutting conditions and end up either wasting a lot of expensive coolants or, in contrast, they lack the necessary lubricant which causes the tool to wear off too fast and thus leaving poor surface finish. The invention gets around these restrictions by using an artificial intelligence-based control loop, which dynamically changes the flow of lubricants on the basis of real-time machining feedback. The system combines a multi-sensor array based on acoustic emission sensors, vibration transducers, and spindle load monitors in order to record the actual state of the cutting process in real-time. This sensor data is processed into a local processing unit that is a trained neural network algorithm. The algorithm compares the frequency signatures and load patterns in order to differentiate between the normal cutting friction and absence of lubrication as well as catastrophic tool failure. This invention is unlike some of the other systems that are not dynamic in nature and is capable of forecasting the precise time when the temperature friction is increasing and injecting a specific micro-dose of lubricant beforehand. Moreover, the invention also has a highly accurate fluid delivery system that can adjust the volume of the lubricant mist, as well as the pressure and atomization percentage. The system also saves the cutting zone in terms of coolant, by matching the fluid delivery versus the actual requirements of the cutting zone, the system can save as much as 40 percent of the coolant used, and can extend the life of carbide and high-speed steel tools at the same time. The system is worked out as a retrofit module and therefore can be compatible with the current 3-axis and 5-axis CNC machine without necessitating the utter renovation of the interface of the machine tool. The technology is also responding to the environmental and occupational health issues that are related to machining. The system can greatly minimize the creation of hazardous oil fog in the workshop environment as well as the quantity of contaminated fluid waste to be disposed through optimization of the lubrication to the lowest effective dosage. This would provide a cleaner, safer working environment as well as match manufacturing processes to sustainable industrial practices."
Disclaimer: Curated by HT Syndication.
