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作 者:Ji-wei Bao Zheng-gen Liu Man-sheng Chu Dong Han Lai-geng Cao Jun Guo Zi-chuan Zhao
机构地区:[1]School of Metallurgy,Northeastern University,Shenyang 110819,China [2]Institute for Frontier Technologies of Low-carbon Steelmaking,Northeastern University,Shenyang 110819,China [3]Liaoning Province Engineering Research Center for Technologies of Low-Carbon Steelmaking,Northeastern University,Shenyang 110819,China [4]State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110819,China
出 处:《International Journal of Minerals,Metallurgy and Materials》2021年第12期1917-1928,共12页矿物冶金与材料学报(英文版)
基 金:financially supported by the National Natural Science Foundation of China-Liaoning Joint Funds(No.U1808212);the National Natural Science Foundation of China(No.52074080);the Fundamental Research Funds of the Central Universities of China(No.N182504010);Xingliao Talent Plan(No.XLYC1902118);。
摘 要:Iron carbon agglomerates(ICA)are used to realize low-carbon blast furnace ironmaking.In this study,the central composite design based on response surface methodology was used to synergistically optimize the compressive strength,reactivity,and post-reaction strength of ICA.Results show that the iron ore addition ratio significantly influences the compressive strength,reactivity,and post-reaction strength of ICA.The iron ore addition ratio and carbonization temperature or the iron ore addition ratio and carbonization time exert significant interaction effects on the compressive strength and reactivity of ICA,but it has no interaction effects on the post-reaction strength of ICA.In addition,the optimal process parameters are as follows:iron ore addition ratio of 15.30 wt%,carbonization temperature of 1000℃,and carbonization time of 4.27 h.The model prediction results of compressive strength,reactivity,and post-reaction strength are 4026 N,55.03%,and 38.24%,respectively,which are close to the experimental results and further verify the accuracy and reliability of the models.
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