Subhashish Dasgupta

An ABB news article outlining research into leveraging physics-based computational modeling to simulate and predict the blending process for process industries, optimizing mixing time, energy consumption, and product quality.

This paper demonstrates a non-invasive approach to measuring process temperature in common industrial processes, detailing a two-step model-based procedure, CFD methods, and validation with controlled experiments and real industrial applications.

An article detailing how ABB engineers built a digital twin of an electromagnetic flowmeter using multiphysics modeling to predict device performance and improve its design.

Describes the development and successful testing of an advanced AI model at ABB that continuously predicts the temperature of steel melt within an electric arc furnace (EAF) from cooling water rise, aiming to optimize steelmaking, save energy, and lower emissions.

A patent filed by Subhashish Dasgupta for a temperature sensor assembly.

A patent filed by Subhashish Dasgupta for an electromagnetic flowmeter design.