Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results

Y Liu, N Dinh, Y Sato, B Niceno - Applied Thermal Engineering, 2018 - Elsevier
Boiling heat transfer occurs in many situations and can be used for thermal management in
various engineered systems with high energy density, from power electronics to heat …

Deep learning methods evaluation to predict air quality based on computational fluid dynamics

X Jurado, N Reiminger, M Benmoussa… - Expert Systems with …, 2022 - Elsevier
Air quality is a major health issue for densified cities nowadays. To evaluate and act upon it,
modeling alongside sensors has proved to be a powerful tool. Among the different available …

CFD-PBE Simulation of para-Xylene Crystallization Behavior and Process Amplification under Different Operating Conditions

J Dong, Y Wu, X Liu, C Zhang, S Wang… - Industrial & Engineering …, 2023 - ACS Publications
The crystallization technology is one of the most potential ways to produce para-xylene (PX)
with high purity, but it has some drawbacks such as low yield and difficult to control …

[HTML][HTML] Modelling approach to predict the fire-related heat transfer in porous gypsum based on multi-phase simulations including water vapour transport, phase …

R Prieler, R Langbauer, H Gerhardter… - Applied Thermal …, 2022 - Elsevier
The heat transfer in gypsum exposed to fire is significantly affected by heat conduction, mass
transfer and condensation/evaporation effects of water vapour in the porous structure. In the …

Evaluation of flamelet-based combustion models for the use in a flameless burner under different operating conditions

M Mayrhofer, M Koller, P Seemann, R Prieler… - Applied Thermal …, 2021 - Elsevier
The thermal input of a flameless burner is commonly realized by its switch on-time at a
unique, optimized design point. This typical on–off regulation approach may provide …

Chemical effects of carbon dioxide in ethylene, ethanol and DME counter-flow diffusion flames: An experimental reference for the fictitious CO2 flame

R Zhao, D Liu - Journal of the Energy Institute, 2022 - Elsevier
The chemical effects of carbon dioxide on flame chemistry were investigated numerically
and experimentally in ethylene, ethanol, and dimethyl-ether (DME) counter-flow diffusion …

[HTML][HTML] Research on tunnel vehicle fire temperature field simulation considering the latent heat of vaporization inside concrete linings

Y Zhang, J Ye, C Lin - Case Studies in Thermal Engineering, 2024 - Elsevier
The high temperatures and non-uniform temperature fields caused by fires can lead to the
rapid failure of linings, severely affecting tunnel safety. To obtain the temperature distribution …

Prediction of dynamic temperature rise of thermocouple sensors based on genetic algorithm-back propagation neural network

H Wang, H Dong, L Zhang, Y Niu, T Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Laser-based dynamic calibration of thermocouple sensors is limited by the improper setting
of laser parameters that lead to temperature overshoot damage. To address these problems …

Applying artificial neural networks in construction

A Doroshenko - E3S Web of Conferences, 2020 - e3s-conferences.org
Currently, artificial neural networks (ANN) are used to solve the following complex problems:
pattern recognition, speech recognition, complex forecasts and others. The main …

Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms

JD Quadros, YI Mogul, Ü Ağbulut, AE Gürel… - International Journal of …, 2024 - Elsevier
The bubble departure and lift-off boiling (BDL) model was studied using computational
intelligence techniques and hybrid algorithms. Quite a few studies have predicted the …