AFRC-CORE-07370-Continuation of CORE-06951 - induction heating line (NN and FE) and gas furnace CFD modelling with Qobeo (CORE funding: £109,738)

This follow-on project builds on the outcomes of CORE-06951, advancing neural network approaches to improve prediction, efficiency, and scalability for large industrial induction heating lines. The work includes characterising an industrial-scale induction heating line, refining and integrating neural network models with FE simulation data, and validating predictions against real-world measurements. In parallel, the project extends CFD modelling of industrial furnaces using Qobeo software, focusing on process aspects such as door-opening effects and low-temperature fan-assisted heating. The combined NN–FE–CFD approach aims to deliver faster, more accurate process simulations, enhancing digital twin capabilities for heating and hardening operations.

(CORE funding: £109,738)