Multi-objective optimization of iron ore induration process using optimal neural networks
SS Miriyala, K Mitra - Materials and Manufacturing Processes, 2020 - Taylor & Francis
Induration in steel industries is the process of pelletizing iron ore particles. It is an important
unit operation which produces raw materials for a subsequent chemical reduction in Blast …
unit operation which produces raw materials for a subsequent chemical reduction in Blast …
[图书][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 …
An energy efficient decision-making strategy of burden distribution for blast furnace
Burden distribution plays an important role in the optimization of energy-consuming index of
a blast furnace (BF). However, due to the complex mechanism of the burden distribution …
a blast furnace (BF). However, due to the complex mechanism of the burden distribution …
Evolutionary data driven modeling and multi objective optimization of noisy data set in blast furnace iron making process
BK Mahanta, N Chakraborti - steel research international, 2018 - Wiley Online Library
Data driven models are constructed for the tuyere cooling heat loss, total blast furnace gas
flow, tuyere velocity, productivity, and coke rate for an operational blast furnace of an …
flow, tuyere velocity, productivity, and coke rate for an operational blast furnace of an …
Blast furnace charging optimization using multi-objective evolutionary and genetic algorithms
Charging programs giving rise to desired burden and gas distributions in the ironmaking
blast furnace were detected through an evolutionary multi-objective optimization strategy …
blast furnace were detected through an evolutionary multi-objective optimization strategy …
Data-driven Evolutionary Computation in Blast Furnace Ironmaking
N Chakraborti - Treatise on Process Metallurgy, 2024 - Elsevier
Data-driven learning and optimization techniques are now emerging as powerful strategies
for analyzing the industrial blast furnace process, where both single and multiobjective …
for analyzing the industrial blast furnace process, where both single and multiobjective …
Modeling of burden distribution in the blast furnace
T Mitra - 2016 - doria.fi
The blast furnace is the main ironmaking production unit in the world which converts iron ore
with coke and hot blast into liquid iron, hot metal, which is used for steelmaking. The furnace …
with coke and hot blast into liquid iron, hot metal, which is used for steelmaking. The furnace …
Optimization between Tundish temperature and slab exit temperature to eliminate “Strand Stuck‐Up” phenomenon in continuous casting process of steel by …
A data‐driven evolutionary genetic algorithm is successfully implemented to optimize two
objectives simultaneously from the data generated at an integrated steel plant in view of an …
objectives simultaneously from the data generated at an integrated steel plant in view of an …