Simulation on Scrap Melting in Steelmaking Process

2019 ◽  
Author(s):  
M. Gao ◽  
Y. Zhang
Keyword(s):  
Steelmaking Process ◽  
Scrap Melting

scholarly journals Study on the Rate of Scrap Melting in the Steelmaking Process

1969 ◽  
Vol 55 (5) ◽  
pp. 347-354 ◽  
Author(s):  
Kazumi MORI ◽  
Hiroyuki NOMURA
Keyword(s):  
Steelmaking Process ◽  
Scrap Melting

Studies of NRIM Continuous Steelmaking Process

1973 ◽  
Vol 13 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Ryuichi NAKAGAWA ◽  
Shiro YOSHIMATSU ◽  
Takuya UEDA ◽  
Tatsuro MITSUI ◽  
Akira FUKUZAWA ◽  
...  
Keyword(s):  
Steelmaking Process

scholarly journals A review of end-point carbon prediction for BOF steelmaking process

2020 ◽  
Vol 39 (1) ◽  
pp. 653-662
Author(s):  
Zhou Wang ◽  
Qing Liu ◽  
Haitao Liu ◽  
Shizhong Wei
Keyword(s):  
High Efficiency ◽  
Prediction Models ◽  
Critical Role ◽  
Basic Oxygen Furnace ◽  
Detection Methods ◽  
Steelmaking Process ◽  
Dynamic Prediction ◽  
End Point ◽  
Stable Production ◽  
Precise Prediction

AbstractThe precise prediction of end-point carbon content in liquid steel plays a critical role in increasing productivity as well as energy efficiency that can be achieved in the basic oxygen furnace (BOF) steelmaking process. Due to numerous and diversity of the studies on BOF end-point carbon prediction, it seems necessary to provide a comprehensive literature review on state-of-the-art developments in end-point carbon prediction for BOF steelmaking. This paper presents the characteristics of different end-point carbon prediction models. The end-point carbon prediction for BOF steelmaking has initially relied on the experience and skill of the operators. With the development of information technology and auto-detection methods, BOF end-point carbon prediction mainly has gone through three stages, such as static prediction, dynamic prediction, and intelligent prediction. Future contributions to the development and application of intelligent end-point carbon prediction in BOF steelmaking are still arduous tasks. However, it is envisaged that the intelligent end-point carbon prediction will witness more frequent applications and greatly improve the high-quality, high-efficiency, and stable production for BOF steelmaking in the future.

scholarly journals Management of Lime in Steel

Metals ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 686 ◽  
Author(s):  
Sanjeev Manocha ◽  
François Ponchon
Keyword(s):  
Critical Role ◽  
Steel Production ◽  
Developed Countries ◽  
Basic Oxygen Furnace ◽  
Environmental Benefits ◽  
Steelmaking Process ◽  
Iron And Steel ◽  
Refractory Life ◽  
The Impact ◽  
Local Sourcing

The EU28 total lime demand in 2017 was estimated at about 20 million tons, out of which about 40% are consumed in the iron and steel industry. Steel remains the major consumer after environment and construction. The lime industry is quite mature and consolidated in developed countries, with enough reserves and production to serve regional markets while being fragmented in developing nations where steel producers rely on local sourcing. There is relatively very little trade for lime worldwide. Lime has a critical role at different steps of the steelmaking process, and especially to make a good slag facilitating the removal of sulphur and phosphorus, and for providing a safer platform to withstand high intensity arc plasma in the electric arc furnace (EAF), and violent reactions in the basic oxygen furnace (BOF). Lime quality and quantity has a direct effect on slag quality, which affects metallurgical results, refractory life, liquid metal yield, and productivity, and therefore the total cost of the steel production. In this paper, we present the importance of careful selection in the limestone and calcination process, which influences critical lime quality characteristics. We shall further elaborate on the impact of lime characteristics in the optimization of the steelmaking process, metallurgical benefits, overall cost impact, potential savings, and environmental benefits.

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