TY - JOUR
T1 - Deep neural network-based heat radiation modelling between particles and between walls and particles
AU - Tausendschön, Josef Franz Viktor
AU - Radl, Stefan
PY - 2021/10
Y1 - 2021/10
N2 - 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 Discrete Element Method (DEM)-based simulations. A systematic analysis of the most promising markers available in DEM simulations to be correlated with the view factor is performed. Subsequently, a neural network is trained, and its predictive performance is analyzed. View factors are studied for a variety of systems ranging from dilute particle systems to dense (i.e., settled under gravity) particle beds. It is demonstrated that the trained DNN-model can model view factors at higher accuracy and with significantly less computational effort than other literature models. A validation with experimental data is provided, showing that the implemented model can predict the total heat flux, as well as particle temperatures in a packed bed accurately.
AB - 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 Discrete Element Method (DEM)-based simulations. A systematic analysis of the most promising markers available in DEM simulations to be correlated with the view factor is performed. Subsequently, a neural network is trained, and its predictive performance is analyzed. View factors are studied for a variety of systems ranging from dilute particle systems to dense (i.e., settled under gravity) particle beds. It is demonstrated that the trained DNN-model can model view factors at higher accuracy and with significantly less computational effort than other literature models. A validation with experimental data is provided, showing that the implemented model can predict the total heat flux, as well as particle temperatures in a packed bed accurately.
KW - Deep Neural Networks
KW - Discrete Element Method (DEM)
KW - Machine learning
KW - Radiation modelling
KW - Radiative heat transfer
KW - View factors
KW - Wall radiation
UR - http://www.scopus.com/inward/record.url?scp=85108456689&partnerID=8YFLogxK
U2 - 10.1016/j.ijheatmasstransfer.2021.121557
DO - 10.1016/j.ijheatmasstransfer.2021.121557
M3 - Article
SN - 0017-9310
VL - 177
JO - International Journal of Heat and Mass Transfer
JF - International Journal of Heat and Mass Transfer
M1 - 121557
ER -