Research on Temperature Distribution and Stress Distribution Model of Prefabricate Block Electric Furnace Roof

2014 ◽  
Vol 494-495 ◽  
pp. 289-292
Author(s):  
Xin Can Li
Keyword(s):  
Electric Furnace ◽  
Economic Benefits ◽  
Distribution Model ◽  
Electric Steel ◽  
Furnace Roof ◽  
Iron And Steel ◽  
Finite Element Software ◽  
Steel Making ◽  
Stable Temperature ◽  
Heat Preservation

Electric furnace roof is an important device for electric steel making, whose heat preservation performance and life-span have a direct impact on the economic benefits of iron and steel enterprise. Considered contact behavior between prefabricate block, this paper establishes the complete CAD/CAE model of the electric furnace roof with finite element software based on the theory of transferring heating subject, and respectively calculates the stable temperature and stress field of the firebrick roof and the prefabricate block roof in last melting stage, as is advantageous to analyze the level and the distribution of temperature and stress of electric furnace roof.

Byproduct Gas Optimal Distribution Model and its Application for Iron and Steel Enterprises

2011 ◽  
Vol 58-60 ◽  
pp. 816-821
Author(s):  
Tao Du ◽  
Xiang Bin Liu ◽  
Xing Lu Pang
Keyword(s):  
Energy Resource ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Oil Consumption ◽  
Normal Range ◽  
Gas Emission ◽  
Iron And Steel ◽  
Steel Making ◽  
Byproduct Gas ◽  
Gas Supply

A MILP model for optimization of byproduct gas supply in the iron and steel making process is proposed. This model can make the holder fluctuate keep in the normal range, prevent unfavorable byproduct gas emission or shortage, minimize oil consumption and switch the burners in the boil, and it can simultaneously maximize the efficiency of energy resource usage in the iron and steel making process.

scholarly journals Optimization of the electric efficiency of the electric steel making process

2020 ◽  
Vol 53 (2) ◽  
pp. 11895-11900
Author(s):  
Jesús D. Hernández ◽  
Luca Onofri ◽  
Sebastian Engell
Keyword(s):  
Electric Steel ◽  
Steel Making

scholarly journals Mathematical Modeling of Iron and Steel Making Processes. Modeling of a DC Electric Arc Furnace. Mixing in the Bath.

2001 ◽  
Vol 41 (10) ◽  
pp. 1146-1155 ◽  
Author(s):  
Marco Ramírez ◽  
Jonas Alexis ◽  
Gerardo Trapaga ◽  
Par Jönsson ◽  
John Mckelliget
Keyword(s):  
Mathematical Modeling ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Iron And Steel ◽  
Steel Making

The First Half-Century of Electric Furnace Steel Making

JOM ◽  
1956 ◽  
Vol 8 (12) ◽  
pp. 1637-1641
Author(s):  
S. U. Casey
Keyword(s):  
Electric Furnace ◽  
Half Century ◽  
Steel Making ◽  
Furnace Steel

The Relationship between Energy Consumption and CO2Emissions in Iron and Steel Making

2012 ◽  
pp. 125-132
Author(s):  
Bai Hao ◽  
Lu Xin ◽  
Li Hongxu ◽  
Zhao Lihua ◽  
Liu Xueting ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Iron And Steel ◽  
Steel Making ◽  
The Relationship

scholarly journals Employees’ Exposure to Carbon Monoxide in Pakistan Steel Mills

2014 ◽  
Vol 3 (4) ◽  
pp. 44-56
Author(s):  
Kanza Abid ◽  
Zafar Iqbal Shams
Keyword(s):  
Carbon Monoxide ◽  
Raw Materials ◽  
Carbon Monoxide Poisoning ◽  
Production Plant ◽  
Iron And Steel ◽  
Steel Mills ◽  
Steel Making ◽  
Minute Interval ◽  
Elevated Exposure ◽  
Mean Concentration

Many processes in the iron and steel making industries emit carbon monoxide, which causes a variety of toxic effects on human health, such as fatigue, impaired memory, headache, and nausea. At elevated exposure, carbon monoxide poisoning may lead to loss of consciousness and death. Therefore, the current study has been carried out to investigate the occupational exposure of randomly selected fifty-eight employees of Pakistan Steel Mills to the carbon monoxide. The selected employees were from 10 different facilities of the Pakistan Steel Mills, who were working in two different shifts viz. nightshift and dayshift, each of twelve hours. Thirty employees from nightshift and twenty-eight employees from dayshift were monitored for their exposure to carbon monoxide. The instrument was logged to measure the employee’s exposure to carbon monoxide with 1-minute interval. The study reveals that the employees, working in the Raw Materials Production Plant during nightshift were exposed to the highest mean concentration of carbon monoxide while those working in Oxygen Plant during nightshift were exposed to the lowest mean concentration of carbon monoxide. According to study, the highest recorded exposure was found near Blast Furnace during dayshift. The employees’ exposure to 98th percentile concentration of carbon monoxide in different facilities of the steel mills has also been analyzed. The employees’ exposure to carbon monoxide during commuting from home to their workplace has also been investigated.DOI: http://dx.doi.org/10.3126/ije.v3i4.11730      International Journal of EnvironmentVolume-3, Issue-4, Sep-Nov 2014Page: 44-56

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