Electrolyte temperature based control method for aluminum fluoride addition in Hall-H&amp;#x00E9;roult cell

Huang, Yongbo; Zhou, Jiemin; Qu, Xiang-dong; Zhiqiang, Sun

doi:10.1109/chicc.2008.4605449

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Cited by 2 publications

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Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell

Wang,

Xie,

Xie

et al. 2024

2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics,

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Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell

Wang,

Xie,

Xie

et al. 2024

2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics,

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Fuzzy Control Applied to Aluminum Smelting

Pereira¹,

Oliveira²,

Soares³

2012

Fuzzy Logic - Controls, Concepts, Theories and Applications

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Fuzzy Logic-Controls, Concepts, Theories and Applications 254 20 smelters are responsible for 65% or world production. Most companies work only with Aluminum, but 20% of them work with Aluminum with other metals or mines. Half of Aluminum production is done by companies vertically integrated, from bauxite mining to metal recycling (IAI, 2010). For all these reasons, the Aluminum can be considered a highly important metal, and therefore, its production is a target for many research activities. Researchers all around the world make efforts in making Aluminum production a less costly process, since it spends a lot of energy, and is very complex. In this chapter, we are going to present the whole context, and why and where fuzzy control is important to assist plant operators. The impact and consequences of this work is the use of rules defined by process operators indirectly through the huge database which provides historic information including control decisions made by them. Since this strategy emulates process operator, it can be said that an expert system can provide this personnel more time to concentrate on other activities. Moreover, this technique will be continually improved by revising its rules and evaluation, provided that fuzzy decisions will also have an impact, and this should be analysed and adjusted. 1.1 Aluminum production process Aluminum has been produced through the Hall-Héroult process, named after its inventors. So far, this is the only industrial way to produce this metal. Primary Aluminum is produced in a liquid form, through an electrolytic reduction of alumina (Al 2 O 3) in a cryolite bath (Na 3 AlF 6). This reaction takes place in electrolytic pots, as shown in Figure 2. Fig. 2. Sketch of an Alumina reduction pot of prebake type (adapted from Kola & Store, 2009). www.intechopen.com Fuzzy Control Applied to Aluminum Smelting 255 Inside these pots, also often called cells, Alumina is fed through silo and it is electrically consumed by the carbon anodes (Solheim, 2005), and as shown in the equation (1), the anode is also consumed during the electrolytic process.

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Electrolyte temperature based control method for aluminum fluoride addition in Hall-Héroult cell

Cited by 2 publications

References 5 publications

Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell

Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell

Fuzzy Control Applied to Aluminum Smelting

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