scholarly journals Generalized Thermodynamic Optimization for Iron and Steel Production Processes: Theoretical Exploration and Application Cases

Entropy ◽  
2016 ◽  
Vol 18 (10) ◽  
pp. 353 ◽  
Author(s):  
Lingen Chen ◽  
Huijun Feng ◽  
Zhihui Xie
Keyword(s):  
Steel Production ◽  
Generalized Thermodynamic Optimization ◽  
Thermodynamic Optimization ◽  
Iron And Steel ◽  
Production Processes ◽  
Iron And Steel Production

scholarly journals Generalized Thermodynamic Optimization for Iron and Steel Production Processes: Theoretical Exploration and Application Cases

2016 ◽  
Author(s):  
Lingen Chen ◽  
Huijun Feng ◽  
Zhihui Xie
Keyword(s):  
Finite Size ◽  
Steel Production ◽  
Optimization Theory ◽  
Constructal Theory ◽  
Generalized Thermodynamic Optimization ◽  
Thermodynamic Optimization ◽  
Process Industries ◽  
Iron And Steel ◽  
Production Processes ◽  
Iron And Steel Production

Combining modern thermodynamics theory branches, including finite time thermodynamics or entropy generation minimization, constructal theory and entransy theory, with metallurgical process engineering, this paper provides a new exploration on generalized thermodynamic optimization theory for iron and steel production processes. The theoretical core is to thermodynamically optimize performances of elemental packages, working procedure modules, functional subsystems, and whole process of iron and steel production processes with real finite-resource and/or finite-size constraints with various irreversibilities toward saving energy, decreasing consumption, reducing emission and increasing yield, and to achieve the comprehensive coordination among the material flow, energy flow and environment of the hierarchical process systems. A series of application cases of the theory are reviewed. It can provide a new angle of view for the iron and steel production processes from thermodynamics, and can also provide some guidelines for other process industries.

scholarly journals The Potentials of Iron and Steel Slags as Supplementary Cementitious Materials in the Nigerian Construction Industry: A Review

2018 ◽  
Vol 2 (2) ◽  
pp. 208-218
Author(s):  
O. R. Ogirigbo ◽  
J. O. Ukpata ◽  
I. Inerhunwa
Keyword(s):  
Portland Cement ◽  
Construction Industry ◽  
Waste Product ◽  
Steel Production ◽  
Cementitious Materials ◽  
Supplementary Cementitious Materials ◽  
Partial Replacement ◽  
Iron And Steel ◽  
Tropical Environments ◽  
Iron And Steel Production

Ground Granulated Blast Furnace Slag (GGBS) is a type of Supplementary Cementitious Material (SCM) that is currently being used extensively in the global construction industry. SCMs are cheaper than Portland cement, help to improve certain properties of concrete and also help to reduce the environmental footprint associated with the production of Portland cement. GGBS is readily available in most parts of the world as a waste product from iron and steel production. However, its use as a SCM in some countries has not been fully maximized. This is primarily because of lack of documented studies on the properties of GGBS that influences its suitability as a SCM, especially in tropical environments. This paper reviewed the use of GGBS as a SCM for the partial replacement of Portland cement, with particular emphasis on its potential use in tropical warm environments such as Nigeria and other similar countries.

scholarly journals An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

2020 ◽  
pp. 002029402096018
Author(s):  
Kunkun Peng ◽  
Xudong Deng ◽  
Chunjiang Zhang ◽  
Quan-Ke Pan ◽  
Liang Ren ◽  
...  
Keyword(s):  
Continuous Casting ◽  
Optimal Schedule ◽  
Steel Production ◽  
Casting Process ◽  
Imperialist Competitive Algorithm ◽  
Initial Population ◽  
Hybrid Flowshop ◽  
Iron And Steel ◽  
Competitive Algorithm ◽  
Iron And Steel Production

Steelmaking-refining-Continuous Casting (SCC) is a key process in iron and steel production. SCC scheduling is to determine an optimal schedule for the SCC process, which is a worldwide and important problem. High-quality SCC scheduling methods will help to allocate production resources effectively and increase the productivity. However, dynamic events (e.g. machine breakdown) may happen in the realistic SCC process, which will make the SCC schedule inexecutable or not optimal. In this case, SCC rescheduling is essential in order to obtain a new optimal schedule suitable for the current production environments. The SCC rescheduling can be modeled as hybrid flowshop rescheduling. In this paper, an Improved Imperialist Competitive Algorithm (IICA) is proposed to address the SCC rescheduling. In the proposed IICA, an empire initialization is first devised for constructing an initial population with diversity and certain quality. Moreover, multiswap-based local search and imperialist competition are designed to improve the exploitation ability of the IICA, while revolution and restart strategy are devised to enhance the exploration ability of the IICA. Comparison experiments with three kinds of ICA have shown the efficiency of the IICA.

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