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Optimal coal blending for blast furnace injection based on multidimensional scaling analysis

机译：基于多维缩放分析的高炉注射最优煤混合

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摘要

As China pulverized coal injection ratio and mixed coal injection levels of blast furnace operation continue to increase, however, there is no uniform standard for mixed coal injection technology at home and aboard, therefore further refinement mixed coal blending and optimization are required. In this paper, to optimize the properties evaluation indicators system of pulverized coal, seven coals had been selected and their injection properties was measured independently, the seven coals' 15 kinds of injection properties, including calorific value, igniting point, combustibility, recativity, explosibility, grindability, etc. were analyzed through multidimensional scaling analysis, then combine the multidimensional scaling space matrix and coal proximate and elementary analysis to establish coal blending optimization model. Laboratory and industry experiment was conducted for verification, it may provide some guidance for the further development of pulverized coal injection technology.
机译：随着中国粉煤喷射率和混合煤喷射水平的高炉运行继续增加，然而，在家庭和船上没有混合煤注射技术的均匀标准，因此需要进一步的细化混合煤混合和优化。在本文中，为了优化粉煤的特性评估指标体系，已经选择了7个煤，其注射性质独立测量，七煤15种注射性能，包括热值，点燃点，可燃性，依次，可解释性通过多维缩放分析分析，磨削性等，然后将多维缩放空间矩阵和煤层邻近分析结合，建立煤混合优化模型。实验室和工业实验进行了验证，可以为粉煤注射技术的进一步发展提供一些指导。

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