Recent progress in sustainable and energy-efficient technologies for sinter production in the iron and steel industry

Z Cheng, Z Tan, Z Guo, J Yang, Q Wang - Renewable and Sustainable …, 2020 - Elsevier
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 …

New insights into the effects of methane and oxygen on heat/mass transfer in reactive porous media

Z Cheng, Z Guo, P Fu, J Yang, Q Wang - International communications in …, 2021 - Elsevier
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 …

Soft computing techniques in advancement of structural metals

S Datta, PP Chattopadhyay - International Materials …, 2013 - journals.sagepub.com
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 …

A genetic algorithms based multi-objective neural net applied to noisy blast furnace data

F Pettersson, N Chakraborti, H Saxén - Applied Soft Computing, 2007 - Elsevier
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 …

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 …

[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 …

Optimization of energy use with CO2 emission reducing in an integrated iron and steel plant

Q Zhang, Z Wei, J Ma, Z Qiu, T Du - Applied Thermal Engineering, 2019 - Elsevier
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 …

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 …

KERNEL: enabler to build smart surrogates for online optimization and knowledge discovery

PD Pantula, SS Miriyala, K Mitra - Materials and Manufacturing …, 2017 - Taylor & Francis
ABSTRACT KERNEL–A novel parameter-free surrogate building algorithm using Adaptive
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 …