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AI Meets Lubrication: Can Machines Tell Us When Their Oil Needs Changing?

For decades, lubricant maintenance has largely followed a familiar formula: operate a machine for a specified number of hours or kilometres, change the oil, replace the filter and repeat the cycle.
The system is simple, predictable and easy to manage. But it also raises an important question.
What if the lubricant still has considerable useful life remaining when it is replaced? Or, more importantly, what if the lubricant begins deteriorating much earlier than the scheduled replacement interval?
This is where the combination of lubricant condition monitoring, intelligent sensors, data analytics and artificial intelligence is beginning to change the way industries think about lubrication.

PRODUCT HIGHLIGHT

Engine Oil for Taxi and Commercial Vehicles Running on CNG: What Actually Works on Indian Roads

PRODUCT HIGHLIGHT

How to Choose Engine Oil for Petrol, Diesel, and CNG Engines

Director's Voice

Sushant Bansal
Director,
Paras Lubricants Limited

Redefining Machining With Intelligent Synthetic Cutting Fluids

There is a moment on every shop floor that nobody photographs. The spindle is running, the tool is engaged, and somewhere in the narrow gap between a carbide edge and a piece of steel, a decision made months earlier in a purchasing office is quietly being tested. Not the machine tool decision. Not the insert decision. The fluid decision, the one that was probably made on a comparison of rates per litre, by someone who had four other things to close that afternoon.

I have spent a long time in and around plants, and I have come to believe that synthetic cutting fluids are among the most consequential purchases in a machining operation, yet they are often treated as the least consequential.

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