Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Circulating fluidized beds (CFBs) have been widely applied in coal combustion and
gasification industry due to their excellent performance in terms of fuel flexibility and …

Abstract Design, scale-up and operation of cyclone gas–solid separators are mostly based
on simplified models and experience. Previous single-phase or one-way coupled …

This study develops filtered two-fluid model (fTFM) closures by coupling computational fluid
dynamics (CFD) and deep learning algorithm (DL) for enabling coarse-grid simulations at …

Natural gas hydrate (NGH) is widely considered as an alternative energy source due to its
tremendous reserves, cleanness and high energy density. During the exploitation process …

Process intensification is important for achieving efficient fluid mixing. In this study, the
process intensification mechanism of mixing was investigated based on the evolution of sub …

With the gradual increase of intermittent renewable energy, the coal-fired power generating
units must provide flexible peak shaving capabilities. However, the new requirement comes …

An experimental and 3D CFD (computational fluid dynamics) based numerical investigation
of the in-wheel hub internal permanent magnet synchronous machine (IPMSM) has been …

This work systematically investigates the applicability of our recently developed three
mesoscale drag models for predictions of hydrodynamics over extensive flow regimes …

In reverse circulation (RC) down-the-hole hammer (DTH) drilling, hole cleaning has a great
impact on reducing accidents and improving efficiency. There is a technical difficulty in RC …