Vapour Explosion Induced Accidents In Industrial Boilers (E)
A Swarna Jayanti Fellow of the Department of Science and Technology, has initiated the work of developing an indigenous technology to predict and control vapour explosion induced accidents in industrial boilers. Prof. Rishi Raj, an Associate Professor in the Department of Mechanical Engineering, IIT Patna, is developing this technology using Artificial Intelligence and Machine Learning. In the last ten years, 23,000 boiler accidents have been recorded worldwide, wherein India alone accounts for 34 percent of global deaths. Thus, indigenous technology for online monitoring and control of the boiling process will help improve the health, efficiency and economy of boilers used in key industrial and strategic applications. Prof. Raj's recently demonstrated that the acoustic fingerprint associated with bubbles may be instrumental in decoding the science of boiling. Therefore, he aims to identify the dominant bubble activity features to develop a physics-informed tool for advanced prediction of boiling regimes using a single acoustic sensor.
