Numerical simulation, also known as computer simulation, uses an electronic computer to
investigate and solve engineering problems, physical problems, and a wide range of other …

Abstract We present a Deep Neural Network (DNN)-based view factor model to calculate
radiative heat transfer rates between particles, as well as between particles and walls in …

Granular flow has solid-, liquid-, or even gas-like behaviors, which can be described through
discrete element method (DEM)-based simulations. Although the DEM simulation has …

Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great
significance for reactor operation and design. In this work, an image-driven approach with …

Screw conveyors are widely used in granular transportation to provide an efficient and
steady flow rate. DEM is a numerical method used to predict flow behaviors of granular …

We investigated the ability of four popular Machine Learning methods ie, Deep Neural
Networks (DNNs), Random Forest-based regressors (RFRs), Extreme Gradient Boosting …

This study presents three novel methods for the computational acceleration of simulations of
high temperature radiative heat transfer in particulate media. The paper presents a novel …

Thermal radiation has been extensively modeled in static particulate media with effective
radiative properties or with statistical ray tracing techniques. However, these techniques are …

Pebble flow dynamics is a crucial issue for designing and operating pebble bed reactors.
The existing experimental or simulation methods are often associated with high time …