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针对铝电解槽针振信息元诊断手段的不足,提出基于小波-神经网络技术的铝电解槽针振信息元分析与诊断的新方法。获取5种针振信息元的特征波谱作为神经网络的训练样本,建立神经网络诊断系统。分析了系统软硬件结构及其特点,并在350kA预焙铝电解槽上进行实验和仿真。实验证明该系统有很高的精度,且具有很好的应用价值。 相似文献
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Numerical simulation of aluminum holding furnace with fluid-solid coupled heat transfer 总被引:2,自引:2,他引:0
To predict three-dimensional temperature distribution of molten aluminum and its influencing factors inside an industrial
aluminum holding furnace, a fluid-solid coupled method was presented. The fluid-solid coupled mathematics models of aluminum
holding furnace in the premixed combustion processing were established based on mass conservation, moment conservation, momentum
conservation, energy conservation and chemistry species conservation. Computational results agree well with the test data
of the typical condition. The maximum combustion temperature is 1 850 K. The average temperature of the molten aluminum is
1 158 K, and the maximum temperature difference is about 240 K. The average temperature increases 0.3 °C while the temperature
of combustion air increases 1 °C. The optimal excess air ratio is 1.25–1.30. 相似文献
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