MILD combustion of low calorific value gases

S Zhou, B Yan, M Mansour, Z Li, Z Cheng, J Tao… - Progress in Energy and …, 2024 - Elsevier
The utilization of low calorific value gases (LCVG) in combustion devices presents particular
challenges in terms of ignition and sustained combustion stability due to the presence of non …

Advances in the utilization and suppression of thermoacoustic effect: A review

J Wen, L Zhang, H Kang, S Liu, K Wang - International Journal of Heat and …, 2024 - Elsevier
The thermoacoustic effect is a complicated occurrence that involves the mutual conversion
of sound and thermal energy. Thermoacoustic heat engines built on this effect have …

A novel committee machine to predict the quantity of impurities in hot metal produced in blast furnace

W Cardoso, R Di Felice - Computers & chemical engineering, 2022 - Elsevier
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. Every day …

[PDF][PDF] Modeling of artificial neural networks for silicon prediction in the cast iron production process

W Cardoso, R Di Felice, BN Dos Santos… - … journal of artificial …, 2022 - researchgate.net
The main way to produce cast iron is in the blast furnace. In the production of hot metal, the
control of silicon is important. Alumina and silica react chemically with limestone and …

[HTML][HTML] Machine learning techniques to predict the flame state, temperature and species concentrations in counter-flow diffusion flames operated with CH4/CO/H2-air …

R Prieler, M Moser, S Eckart, H Krause, C Hochenauer - Fuel, 2022 - Elsevier
The usage of artificial intelligence (AI) is increasing in many fields of research, since
complex physical problems can be 'learned'and reproduced by AI methods. Thus, instead of …

A transfer learning framework for well placement optimization based on denoising autoencoder

J Qi, Y Liu, Y Ju, K Zhang, L Liu, Y Liu, X Xue… - Geoenergy Science and …, 2023 - Elsevier
Well placement optimization is directly related to the recovery factor of reservoir
development, and at present, the mainstream solution is an evolutionary algorithm …

[PDF][PDF] Prediction of silicon content in the hot metal using Bayesian networks and probabilistic reasoning

W Cardoso, R di Felice - … journal of advances in intelligent informatics, 2021 - academia.edu
The blast furnace is a metallurgical reactor that operates countercurrent with the descending
metallic charge and ascending gases. Cast iron is the product formed by reducing metal …

Artificial neural networks for modelling and controlling the variables of a blast furnace

W Cardoso, R Di Felice… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
The blast furnace is a metallurgical reactor that works at high temperature and pressure to
obtain cast iron. The process it done by reactions and heat transfer between the solids …

[HTML][HTML] Detonation cell size prediction based on artificial neural networks with chemical kinetics and thermodynamic parameters

G Bakalis, M Valipour, J Bentahar, L Kadem, H Teng… - Fuel …, 2023 - Elsevier
In this paper, we develop a series of Artificial Neural Networks (ANN) using different
chemical kinetic and thermodynamic input parameters to predict detonation cell sizes. The …

A reconstruction method of detonation wave surface based on convolutional neural network

J Bian, L Zhou, P Yang, H Teng, HD Ng - Fuel, 2022 - Elsevier
Detonation wave surface is composed of lead shock and reactive front, which are difficult to
be measured simultaneously, so it is necessary to reconstruct the detonation surface. In this …