The energy-intensive industry, heavily reliant on heat generation processes, faces the
critical challenge of drastically reducing greenhouse gas emissions. This study reviews the …

The precision and efficiency of machining of aerospace thin-walled components (ATWCs)
directly affect aircraft performance and reliability. This paper systematically reviews the …

In flames, turbulence can either limit or enhance combustion efficiency by means of strain
and mixing. The interactions between turbulent motions and chemistry are crucial to the …

The aim of this work is to demonstrate the use of data-driven sparse sensing for the
reconstruction of the three-dimensional chemiluminescence field of a flame from the two …

The integration of Digital Twin (DT) technology into the photovoltaic (PV) sector represents a
significant advancement in energy management, optimization, servicing, and maintenance …

This paper introduces an approach that leverages sparse sensing techniques to construct
digital twins of combustion systems using models grounded in fundamental physical …

This study presents a data assimilation (DA) framework that combines a simulation-based
digital twin (DT) with a sparse sensing (SpS) strategy using experimental data. This …

This review investigates computational approaches for optimizing blast furnace and
reheating furnace operations with a focus on achieving low emissions and energy-efficient …