Abstract
Grey relational analysis was a data processing method used to sort out the correlation extent of effect factors in a system with uncertain information. In the paper, it was applied to evaluate the effect of operating parameters on corrosion rates of inert anodes in aluminum electrolysis. The corrosion rates of 5%Ni-NiFe2O4 cermet anodes were investigated as a function of some operating parameters. To reach a better understanding of the corrosion mechanism, the behavior of the anodes was observed under some designated conditions, such as in pure cryolite solvent, high current densities, and varying cathode surface areas. It was confirmed that low alumina concentration and high temperature were detrimental. The experiment results showed that grey relational analysis was an innovative data process method used to rank the corrosion extent of effect factors in the corrosion processes.
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