ZHANG Jian-liang, JIANG Xu-dong, ZUO Hai-bin, LIU Zheng-jian. Heat state judgment for calcium carbide furnaces based on heat index calculation and furnace temperature prediction[J]. Chinese Journal of Engineering, 2013, 35(9): 1131-1137. DOI: 10.13374/j.issn1001-053x.2013.09.002
Citation: ZHANG Jian-liang, JIANG Xu-dong, ZUO Hai-bin, LIU Zheng-jian. Heat state judgment for calcium carbide furnaces based on heat index calculation and furnace temperature prediction[J]. Chinese Journal of Engineering, 2013, 35(9): 1131-1137. DOI: 10.13374/j.issn1001-053x.2013.09.002

Heat state judgment for calcium carbide furnaces based on heat index calculation and furnace temperature prediction

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  • Received Date: March 18, 2013
  • Available Online: July 20, 2021
  • In view of the importance of heat state judgment for calcium carbide smelting, the concept of furnace heat index was presented by analyzing the smelting features. A calculation model of furnace heat index was established based on the two-stage thermal equilibrium, and a prediction model of hot calcium carbide temperature was constructed by using a BP neural network. Both the models can effectively judge the furnace heat state. Simulation results show that there is a significant linear correlation between hot calcium carbide temperature and heat surplus, and it is feasible to consider furnace heat index as a heat state's sign. The hit rate to hot calcium carbide temperature predicted by the prediction model reaches 86.7%.
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