为研究在磨煤机内煤炭混合破碎过程中各组分可磨性指数(HGI) 对混合物和各组分破碎行为的影响，借助加装功率测量装置的哈氏可磨仪开展不同可磨性指数无烟煤和肥煤，多时间批次的单独与混合破碎实验。 混合物及各组分的哈氏可磨性指数测试结果显示：不同混合比例煤样的 HGI 均大于各煤样 HGI 的质量加权平均值，且差异随混合物中高 HGI 肥煤质量分数的增加而提高，表明混合破碎中两煤种相互作用加速生成细颗粒。为识别并定量煤炭混合物中各组分，分析并计算了不同混合比例样品的 X 射线衍射图谱特征比值(即 002 峰峰高与半高宽比值)，明确了该特征比值与混合物中无烟煤质量分数的线性关系，进而在分析不同混合破碎条件初始和细粒级破碎产物 X 射线衍射图谱基础上，获得各组分在上述混合破碎产物中的质量分数。煤炭混合破碎、各粒级产物不同煤种识别定量及过程能耗分析结果表明：两煤种单独和混合破碎的初始粒级破碎速率均符合一级动力学，且随肥煤质量分数增加而提高;易磨肥煤对较硬无烟煤破碎起促进作用，而肥煤破碎速率则因无烟煤质量分数增加而降低；与单独破碎相比，混合破碎可提高各组分细粒级产率，各组分细度t10均随另一组分质量分数的增加而提高。经典能量—粒度关系模型可分别表征各混合物破碎过程。但混合破碎中各物相相互作用降低其抵抗破碎的能力，导致不同混合物破碎能量效率(单位破碎能量所产生煤粉细度 t10)差异(随其可磨性指数的增加而提高)。 在定性分析混合物破碎能量效率与 HGI 关系基础上，将 HGI 引入到改进型能耗模型，实现各混合破碎条件能量—粒度数据归一和对不同混合破碎过程的表征。根据混合破碎能量和质量守恒，结合改性型能耗模型，利用神经网络算法计算混合破碎中各组分能耗，发现与单独破碎相比，各组分能量效率均有所提高，且肥煤的提高程度更为明显。

In order to study the influence of hardgrove grindability index (HGI) on the grinding behavior of mixture and components during the heterogeneous grinding of coal in coal pulverizers，the Hardgrove mill with a power meter was used to conduct the heterogeneous and homogeneous grinding of anthracite and bituminous coal with different HGIs at various grinding time levels. Experimental results show that the measured HGIs of mixtures are higher than the mass weighted average ones and the difference increases with the content of bituminous coal in the mixture. These indicate that the yield of fines is promoted due to the interaction between components in hetero⁃ geneous grinding. Aiming to identify and quantify the components in the coal mixture，the characteristic ratios (the ra⁃ tio of height and full width at half maximum of 002 peak) of various mixtures were calculated based on the XRD pat⁃ terns. The linear relationship between the characteristic ratio and yield of anthracite in the mixture was confirmed. Hence，the contents of two components in products in the original and fine size under various heterogene⁃ ous grinding conditions were computed based on the XRD pattern of above materials. The heterogeneous grinding of coal， the quantification of components in various sized products and the analyses on the consumed energy during the grinding process indicate that the breakage rates of two components in the mixture and single breakage are in accordance with the first⁃order dynamic，and increase with the more addition of bituminous coal. The soft bitumi⁃ nous coal promotes the breakage of hard anthracite，but its breakage rate decreases with the more anthracite added in mixture. The yield of fine components in the mixture grinding are higher than those in single breakage. And the product t10 of one component increases with the more addition of the other component in the mixture. The classical en⁃ ergy⁃size reduction model can describe the heterogeneous grinding of different mixtures，respectively. As the breakage resistance of components decreases due to the interaction between components in the mixture， the energy efficiencies (specific energy for yielding the same t10) of various mixture grinding processes are also different (in⁃ creasing with the higher HGI). Based on the qualitative analysis on the relationship between energy efficiency and the HGI of mixtures， the modified energy⁃size reduction model with the addition of HGI is established to realize the normalization of scattered experimental data and the description of various heterogeneous grinding process. Based on the energy and mass conservation of mixture breakage，the energies consumed by components in mixture breakage are calculated by the modified breakage model with the genetic algorithm. The results show that compared with the single breakage，the energy efficiencies of components in various heterogeneous grinding conditions are im⁃ proved，especially for bituminous coal with an obvious increase.