Recent progress in sustainable and energy-efficient technologies for sinter production in the iron and steel industry
Large amounts of iron ore sinter are produced throughout the world. The development of
sustainable and energy-efficient technologies has become increasingly important due to the …
sustainable and energy-efficient technologies has become increasingly important due to the …
New insights into the effects of methane and oxygen on heat/mass transfer in reactive porous media
The partial replacement of a hydrogen-based gaseous fuel for solid fossil fuel plays a key
role in increasing the sustainable energy share in sinter plants. The imbalanced heat …
role in increasing the sustainable energy share in sinter plants. The imbalanced heat …
Soft computing techniques in advancement of structural metals
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …
ahead of the advancing fronts of the application areas. During the last couple of decades …
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
A genetic algorithms based multi-objective optimization technique was utilized in the training
process of a feed forward neural network, using noisy data from an industrial iron blast …
process of a feed forward neural network, using noisy data from an industrial iron blast …
Comprehensive system based on a DNN and LSTM for predicting sinter composition
S Liu, X Liu, Q Lyu, F Li - Applied Soft Computing, 2020 - Elsevier
Because of the lag in sinter composition detection, fluctuations in production conditions are
not conducive to making timely adjustments to sintering. In this paper, the characteristics of …
not conducive to making timely adjustments to sintering. In this paper, the characteristics of …
[BOOK][B] Data-driven evolutionary modeling in materials technology
N Chakraborti - 2022 - taylorfrancis.com
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …
used in learning and modeling especially with the advent of big data related problems. This …
Optimization of energy use with CO2 emission reducing in an integrated iron and steel plant
Energy consumption and Carbon emission in iron and steel industry are enormous and
need to meet an optimal strategy. Many researches have focused on iron and steel making …
need to meet an optimal strategy. Many researches have focused on iron and steel making …
Heat transfer—A review of 2004 literature
RJ Goldstein, WE Ibele, SV Patankar, TW Simon… - International Journal of …, 2010 - Elsevier
The present review covers the heat transfer literature published in 2004 in English
language, including some translations of foreign language papers. Though extensive, some …
language, including some translations of foreign language papers. Though extensive, some …
KERNEL: enabler to build smart surrogates for online optimization and knowledge discovery
ABSTRACT KERNEL–A novel parameter-free surrogate building algorithm using Adaptive
Neuro Fuzzy Inference System (ANFIS) is presented to provide an intelligent and robust …
Neuro Fuzzy Inference System (ANFIS) is presented to provide an intelligent and robust …
Intensive reduction of fuel consumption in the sintering process of double-layered fuel segregation with return fines embedding
C Sun, P Ma, J Deng, L Bai, Z Liao, Y Pei, Q Zhang… - Fuel, 2023 - Elsevier
Fuel combustion provides the essential energy required for the iron ore sintering process,
this process results in tremendous carbon dioxide emissions. Therefore, it is vital to develop …
this process results in tremendous carbon dioxide emissions. Therefore, it is vital to develop …