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Based on operation status assessment and self‐optimizing regulation, an optimization strategy for the smelting process of a fused magnesium furnace is proposed to improve the benefits of smelting magnesia. In the online evaluation stage, according to the qualitative information, the data is divided by the fuzzy model recognition method, and then the posterior probability of online data in different Gaussian mixture models is calculated to obtain the evaluation results. When the evaluation results are not optimal, the non‐optimal variables are obtained by calculating the contribution rate, and then the self‐optimizing adjustment is carried out by case search. In order to improve the recovery rate of self‐optimizing regulation, a time series prediction method is used to predict the operation status, and the corresponding operation schemes for different prediction results are proposed. Experimental results show that the proposed method is accurate and effective.

The effects of magnetic eld annealing on the micro-hardness and recrystallization microstructures in a cold-rolled pure copper sheet were studied. The results showed that the micro-hardness in the specimens subjected to magnetic eld annealing were higher than those annealed without the magnetic eld. There are signi cant differences in the microstructure during the recovery and early stage of recrystallization for the specimens annealed with and without the eld. Magnetic annealing leads to the retarded recovery and delayed primary recrystallization. This effect is attributed to the decreasing of stored energy, which provides the driving force for the recovery and early stage of recrystallization being retarded by the application of a magnetic eld in the cold-rolled pure copper sheets.

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