AI and machine learning utilisation for developing tools to control boiler accidents

By OEM Update Editorial January 6, 2022 12:26 pm

Swarnajayanti fellow working to develop technology for advanced prediction and control of vapour explosion induced accidents in boilers.

A staggering 23,000 boiler accidents have been recorded worldwide over the past 10 years, wherein India alone accounts for the 34 percent of global deaths. In order to address this challenge, Rishi Raj, an Associate Professor in the Department of Mechanical Engineering, IIT Patna, and a recipient of this year’s Swarnajayanti fellowship instituted by the Department of Science and Technology (DST), Government of India, is working on a novel technology utilising Artificial Intelligence/Machine Learning to develop prognostic tools for advance prediction and control of vapour explosion induced accidents in boilers.

This indigenous technology for online monitoring and control of boiling process for online monitoring and control of boiling process will help improve the health, efficiency, and economy of boilers used in key industrial and strategic applications. It bridges the gap between the fundamental knowledge of bubble dynamics on a heated substrate and about how boiling actually occurs in large-scale systems used in chemical, thermal, nuclear, petroleum, space-based, and manufacturing applications.

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