electrolytic aluminum production
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2019 ◽  
pp. 39-44
Author(s):  
N. V. Vasyunina ◽  
◽  
I. V. Dubova ◽  
N. A. Sharypov ◽  
S. V. Belousov ◽  
...  

2011 ◽  
Vol 328-330 ◽  
pp. 1837-1840
Author(s):  
Tian Pei Zhou

In electrolytic aluminum production processing, the measurement and control of alumina density is one of the three most important control aims. However, due to alumina density can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina density control method is very important. In this paper, alumina density is controlled by single neural adaptive PID controller in electrolytic aluminum production processing, and alumina density based on intelligent characteristic model is established by using the intelligent characteristic model method, takes the model as the control model, alumina density is controlled combination of the two advantage, which achieve a good control effect.


2011 ◽  
Vol 317-319 ◽  
pp. 1314-1317 ◽  
Author(s):  
Tian Pei Zhou

In electrolytic aluminum production processing, the measurement and control of alumina concentration is one of the three most important control aims. However, due to alumina concentration can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina concentration control method is very important. In view of the above problems, alumina concentration is controlled by intelligent characteristic model and single neural adaptive PID controller, which achieve a good control effect.


2010 ◽  
Vol 146-147 ◽  
pp. 996-999 ◽  
Author(s):  
Jing Min Hong ◽  
Zainab Z. Ismail ◽  
Jing Lan Hong

A life cycle assessment was carried out to estimate the environmental and economic impact s of pre-training electrolytic aluminum systems. The technology significantly contributed to non-carcinogens, respiratory inorganics, terrestrial ecotoxicity, global warming and non-renewable energy potential impacts. The technology played only a small role in the adverse impact of carcinogens, aquatic ecotoxicity, and mineral extraction categories, while the influence of the technologies on the way other elements affect the environment was ignorable. Specifically, the emissions from the aluminum oxides production and electricity consumption stages involved played an important role, while potential impact generated from transport, infrastructure, waste treatment, cryolite production, and aluminum fluoride production was quite small. Energy generation based on natural gas is an effective way to minimize overall environment impact. This research indicates that there are high potentials for improving environmental performance of the electrolytic aluminum production in China.


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